#unified data platform

[rajaniesh]

Unveiling the Power of Delta Lake in Microsoft Fabric

Discover how Microsoft Fabric and Delta Lake can revolutionize your data management and analytics. Learn to optimize data ingestion with Spark and unlock the full potential of your data for smarter decision-making.

In today’s digital era, data is the new gold. Companies are constantly searching for ways to efficiently manage and analyze vast amounts of information to drive decision-making and innovation. However, with the growing volume and variety of data, traditional data processing methods often fall short. This is where Microsoft Fabric, Apache Spark and Delta Lake come into play. These powerful…

[infoveave]

Go from data to decision in one unified platform

According to IDC’s January 2022 Worldwide CEO Survey, 65% of organizations are using at least 10 different data engineering and intelligence tools to integrate data. This encompasses enterprise data that is coming from or going to atleast ten different data management systems and technologies. For enterprises, this results in a colossal waste of time, resources and money and above all, it is cumbersome working with a complex patch work of motley tools, each promising a different capability of its own. Today’s enterprises need a modern, intelligent platform that has built-in capabilities to integrate, manage, make sense of and visualize all the data under one common architecture –a unified data platform .

What is a Unified Data Platform?

A Unified Data Platform as its name indicates is an all-in-one platform that can weave dynamic, diverse and distributed data efficiently, assimilate it, transform it and provide a secure, scalable architecture to analyze that data. It also offers the most intuitive technologies to understand the data and finally compose it into coherent, intelligent and clear visualization of information for businesses to make informed decisions.

Why do we need unified data platform?

Enterprise applications and data are in a highly fragmented state residing in several departmental silos that separate them. In their quest to unify the data and integrate applications enterpise teams are having to work with a plethora of tools. As they focus on mission critical use cases they are beset with insurmountable data quality and data governance issues arising from the complexity of working with these multiple set of tools. From data ingestion, to data prep to data automation and organization to analytics to visualization, data professionals are working with a variety of tools offered by different vendors that are inextricably tied to their respective cloud environments. This has resulted in precious waste of time, resources and costs in arriving at critical information needed by business leaders to make informed decisions. Internal teams in the organizations are exhausted playing the system-integrator role in addition to their core responsibilities.

Enterprise teams and the complexity of data and anlaytics tools

Data engineers and data stewards are coping with the tyranny of working across multiple tech stacks, resources and skillsets as well as multiple product licenses, multiple SLAs and the need to manage them. This has resulted in tedious, long drawn-out processes leading to delayed time-to-insights. For CIOs and other leadership at the decision making level this boils down to dealing with the economic consequences of high TCO incurred from the perspective of multiple licenses, procurement costs, resources deployed to configure these various tools as well the adverse time-to-market schedules caused by this unwieldy architecture. These leaders have been looking for a “holistic environment” that can tie all the core components needed to build a unified information architecture. In other words, a Unified Data Platform. A Unified Data Platform solves this hairball of a problem by serving as a common, unified architecture to bring the various tools necessary for enterprises to make their journey from data to the right decision offering the following benefits:

Data access and integration: Easily connect, combine and assimilate data sets collected from diverse sources under one architecture to make informed decisions.

Automation of data integration and management: Cost-effective and simplified data acquisition, unification and structuring without complex operations and/or huge engineering teams of engineers to reformat acquired data sets.

Data availability and seamless search: Structured and unified data makes search far easier through queries human-generated and algorithmic.

Data Analytics: Analytics from structured, organized data allows databases to remain scalable when the business demands increase.

Advanced Analytics: Integrated and structured data allows enterprises to deploy ML algorithms and AI-driven analytics to uncover patterns, identify anomalies, and generate predictive insights.

Improved enterprise intelligence: Collaboration and productivity that results in all-round enterprise performance and optimization through readily available analysis of data in consumable format

Infoveave – A Unified Data Platform for Data Automation & Decision Intelligence

Infoveave is an end-to-end Unified Data Platform that comes with native, fully developed individual components that offer these four fundamental capabilities and fit together as four seamless, integral modules of the Infoveave product. The four modules that are the core building blocks of Infoveave are as follows:

Insights – Transform your data into actionable insights with interactive visualizations. Craft compelling narratives tailored for impact.

SciPyR –Explore patterns, predict outcomes, and conduct impactful analyses using What-If, AutoML & Python.

FuseData – Streamline your processes and enhance data flows effortlessly. Set up intelligent data pipes, reducing manual tasks and paving the way for seamless operations.

NGauge – Create data apps to enable last-mile data collection, link seamlessly to automations, and trigger actions.

These four modules of Infoveave can be used individually or as a combination of two or more, depending on the needs of each enterprise or initiative.

The Infoveave Difference

In a cluttered and chaotic market full of data product offerings from companies that have managed the expedient feat of assembling them into their stacks through multiple product acquisitions, Infoveave stands out as a unique and only product developed from the ground up over the years, with each one of these modules built natively into the Infoveave stack.

Embark on your enterprise data journey with Infoveave

Simplify, optimize, and automate your data pipelines. Narrate simple, yet insightful stories from your raw data with Infoveave. Make informed decisions.

Raw Data > Automated Data pipe > Advanced Analytics > Actionable Insights > Informed Decisions Infoveave - A unified Platform for Data Automation and Decision Intelligence

While selecting losses to work upon, you should keep the following in mind.

Ready to revolutionize your data journey with Infoveave?

Original Source: Go from data to decision in one unified platform

[kariniai]

Unified Data: Bridging the Gap between Silos

In an era where data is the new gold, businesses have grappled with the challenge of data silos - isolated reservoirs of information accessible only to specific organizational factions.

This compartmentalization of data is the antithesis of what we term 'healthy' data: information that's universally comprehensible and accessible, fueling informed decision-making across an enterprise. For decades, enterprises have endeavored to dismantle these silos, only to inadvertently erect new ones dictated by the need for efficient data flows and technological limitations.

However, the landscape is radically transforming, thanks to Generative AI (Gen AI) and its groundbreaking capabilities.

The Transformational Shift with Gen AI:

The advent of Gen AI heralds an unprecedented shift in data management and accessibility. With the advent of Retrieval Augmented Generation (RAG) and its integration into infinitely expandable vector data stores, the once-unthinkable is now a tangible reality. Karini.ai stands at the forefront of this revolution, harnessing Gen AI to bridge the gaps between disparate data stores, file repositories, and databases, turning unconnectable into a seamlessly interconnected web of knowledge.

The Dawn of a New Data Era:

For the first time in the annals of corporate history, every line of business has the key to unlock the treasures within all available data, regardless of its domicile. The power of Large Language Models (LLMs) further revolutionizes this landscape, enabling users to query complex data pools through intuitive, natural language. The beauty of this innovation lies not just in its technical prowess but in its adherence to the intricate tapestry of governance and compliance that underpins the corporate world.

Case Studies: The Infinite Horizon of Use Cases:

Karini.ai, armed with Gen AI, is not just transforming businesses; it's redefining them. From marketing insights derived from an ocean of consumer data to predictive maintenance in manufacturing powered by real-time IoT data - the use cases are as limitless as the human imagination. In finance, risk assessment models become more nuanced and robust, drawing from a richer, more diverse set of data points. Patient care personalization reaches new heights in healthcare as medical histories and research data converge to offer bespoke treatment plans.

Karini.ai: Your Navigator in the Gen AI Odyssey:

Navigating the vast seas of data with Gen AI is a venture fraught with challenges, from ensuring data integrity to maintaining privacy and compliance. Karini.ai does not just provide the tools for this journey; it offers the compass and the map. With our expertise, your enterprise can chart its unique course through this brave new world of unified data. We provide the guardrails to ensure your voyage is innovative, secure, compliant, and aligned with your corporate ethos and objectives.

Conclusion: A Call to Pioneer the Future:

The amalgamation of siloed data through Gen AI is not just an operational upgrade; it's a paradigm shift in how businesses perceive and utilize information. It's an invitation to pioneer a future where data is not just a resource but a beacon that guides every strategic decision, every innovation, and every customer interaction. Karini.ai is your partner in this transformative journey, fortified with robust governance and a deep understanding of your business landscape, bringing your business the prowess of Gen AI.

(करिणी) - We are with you on your entire journey…

About Karini AI:

Fueled by innovation, we're making the dream of robust Generative AI systems a reality. No longer confined to specialists, Karini.ai empowers non-experts to participate actively in building/testing/deploying Generative AI applications. As the world's first GenAIOps platform, we've democratized GenAI, empowering people to bring their ideas to life – all in one evolutionary platform. 

Contact:

Jerome Mendell

(404) 891-0255

sales@karini.ai

[mavihuzun]

TOTAL BATTLE LOGİN - PRO+

Welcome to the ultimate gaming experience with Total Battle, a strategic online war game that challenges your tactical skills while immersing you in a captivating medieval world. In this article, we’ll explore the essentials that every player needs to know, including how to navigate the Total Battle login process, maximize your gameplay, and delve into comprehensive guides that will elevate your strategies. Whether you're a seasoned general or just starting your journey, you’ll find valuable insights and tips to help you conquer your foes and build a formidable empire.

Total Battle Login

Accessing your gaming experience has never been easier with the total battle login. This streamlined process allows players to quickly enter the highly immersive world of Total Battle, ensuring that your journey toward strategy and conquest begins without delay.

Once you reach the total battle login page, you'll find an intuitive interface designed to facilitate your entrance. Whether you're a seasoned commander or a new recruit, you can swiftly log in using your credentials and pick up right where you left off in your quest for dominance.

In addition to great accessibility, the total battle login ensures your data protection and provides a seamless connection across devices. This means you can enjoy your favorite strategies on-the-go, enhancing your gaming flexibility and freedom.

Don't let obstacles stand in your way! Experience the thrill of Total Battle with a fast, reliable login process. Explore the possibilities at your fingertips – dive into engaging gameplay today with the total battle login!

Total Battle

Total Battle offers an immersive gaming experience that combines strategic warfare with resource management, making it a go-to choice for gamers looking for depth and excitement. The focal point of the game revolves around building your empire, forming alliances, and engaging in epic battles. Players can expect to dive into various gameplay modes designed to enhance their strategic skills and test their tactical abilities.

One of the significant advantages of total battle is its comprehensive total battle guide that aids both new and experienced players. This guide provides players with vital information on unit formations, resource allocation, and battle tactics, ensuring that you always stay one step ahead of your opponents. With regular updates and community contributions, this guide evolves alongside the game, maintaining its relevance and usefulness.

When you visit totalbattle, you are welcomed with a user-friendly interface that simplifies the login process, allowing you to jump straight into action. The platform is designed to be intuitive, making it easy for players of all skill levels to navigate and find helpful tools and resources that enhance their gameplay experience.

Join a thriving community of players who engage in strategic discussions, share their experiences, and dominate the battlefield. With Total Battle's dynamic gameplay and community-driven atmosphere, you will not just be a player— you will become part of a unified force aimed at conquering new territories and achieving glorious victories.

Total Battle Guide

Welcome to your ultimate total battle guide, designed to help you navigate through the exciting world of Total Battle efficiently. Whether you are a newcomer seeking to understand the basics or a seasoned player looking for advanced strategies, this comprehensive guide is here to enhance your gameplay experience.

Understanding Game Mechanics

Total Battle combines elements of strategy, city-building, and warfare. Familiarize yourself with the core mechanics to maximize your success:

Resource Management: Balance your resources like gold, wood, and food to ensure steady growth of your empire.

Unit Types: Learn about the various units available, including infantry, cavalry, and siege equipment, and understand their strengths and weaknesses.

Buildings: Upgrade your city by constructing essential buildings that boost your economic and military might.

Strategic Gameplay Tips

To gain an edge over your opponents, implement these tips into your strategy:

Scout Before Attacking: Always scout enemy positions to make informed decisions before launching an attack.

Join an Alliance: Collaborating with other players provides support and enhances your strategic options.

Daily Login Rewards: Make sure to log in daily to claim valuable rewards that will assist you in your quest.

Explore Tactical Features

The game offers various tactical features to gain dominance over your rivals. Mastering these can lead to significant advantages:

Hero Development: Develop your heroes by equipping them with powerful gear and leveling them up for enhanced abilities.

Battle Tactics: Experiment with different formations and tactics to find the best approach during battles.

Event Participation: Engage in special events that often yield unique rewards and opportunities for bonuses.

Utilizing this total battle guide will empower you as you embark on your journey in Total Battle. For further assistance or in-depth lore, don’t forget to check out TotalBattleLogin.com. Start your adventure today and conquer your foes with confidence!

Totalbattle

Discover the captivating world of Totalbattle, where strategy and action collide! Immerse yourself in the exhilarating gameplay designed to challenge even the most seasoned gamers. From building your powerful empire to forging alliances with other players, the Total Battle experience is ever-evolving and engaging.

The game seamlessly blends elements of classic strategy with modern features, ensuring that every session is unique. Whether you are a newbie or a veteran, the Total Battle guide is your essential tool for mastering gameplay tactics and optimizing your journey.

Accessing the game through the Total Battle login portal opens doors to exclusive events, rewards, and updates that keep the excitement alive. Enhance your gameplay experience by diving into rich lore and strategic warfare mechanics that Total Battle has to offer.

Join a vibrant community of players who share tips, strategies, and camaraderie in their quest for dominance. Don’t miss out on the opportunity to enhance your skills and achieve greatness. Take the first step by visiting Total Battle and preparing yourself for an epic adventure!

[axolterp]

Axolt: Modern ERP and Inventory Software Built on Salesforce

Today’s businesses operate in a fast-paced, data-driven environment where efficiency, accuracy, and agility are key to staying competitive. Legacy systems and disconnected software tools can no longer meet the evolving demands of modern enterprises. That’s why companies across industries are turning to Axolt, a next-generation solution offering intelligent inventory software and a full-fledged ERP on Salesforce.

Axolt is a unified, cloud-based ERP system built natively on the Salesforce platform. It provides a modular, scalable framework that allows organizations to manage operations from inventory and logistics to finance, manufacturing, and compliance—all in one place.

Where most ERPs are either too rigid or require costly integrations, Axolt is designed for flexibility. It empowers teams with real-time data, reduces manual work, and improves cross-functional collaboration. With Salesforce as the foundation, users benefit from enterprise-grade security, automation, and mobile access without needing separate platforms for CRM and ERP.

Smarter Inventory Software Inventory is at the heart of operational performance. Poor inventory control can result in stockouts, over-purchasing, and missed opportunities. Axolt’s built-in inventory software addresses these issues by providing real-time visibility into stock levels, warehouse locations, and product movement.

Whether managing serialized products, batches, or kits, the system tracks every item with precision. It supports barcode scanning, lot and serial traceability, expiry tracking, and multi-warehouse inventory—all from a central dashboard.

Unlike traditional inventory tools, Axolt integrates directly with Salesforce CRM. This means your sales and service teams always have accurate availability information, enabling faster order processing and better customer communication.

A Complete Salesforce ERP Axolt isn’t just inventory software—it’s a full Salesforce ERP suite tailored for businesses that want more from their operations. Finance teams can automate billing cycles, reconcile payments, and manage cash flows with built-in modules for accounts receivable and payable. Manufacturing teams can plan production, allocate work orders, and track costs across every stage.

[mariacallous]

Europe is under siege—not by armies but by supply chains and algorithms. Rare-earth minerals, advanced semiconductors, and critical artificial intelligence systems all increasingly lie in foreign hands. As the U.S.-China tech cold war escalates, U.S. President Donald Trump battles Europe’s attempt to regulate tech platforms, Russia manipulates energy flows, and the race for AI supremacy intensifies, Europe’s fragility is becoming painfully clear. For years, policymakers have warned about the continent’s reliance on foreign technology. Those alarms seemed abstract—until now.

Geopolitical flashpoints, from the Dutch lithography firm ASML’s entanglement in the U.S.-China chip war to Ukraine’s need for foreign satellite services, reveal just how precarious Europe’s digital dependence really is. If Europe doesn’t lock down its technological future, it risks becoming hostage to outside powers and compromising its core values.

Fragmented measures aren’t enough. A European Chips Act here, a half-implemented cloud or AI initiative there won’t fix a system where every layer—from raw materials to software—depends on someone else. Recent AI breakthroughs show that whoever controls the stack—digital infrastructure organized into a system of interconnected layers—controls the future.

The U.S. government ties AI research to proprietary chips and data centers through its Stargate program, while China’s DeepSeek masters the entire supply chain at lower costs. Europe can’t keep treating chips, supercomputing, and telecommunication as discrete domains; it needs a unifying vision inspired by digital autonomy and a grasp of the power dynamics shaping the global supply chain.

Without a coherent strategy, the continent will be a mere spectator in the biggest contest of the 21st century: Who controls the digital infrastructure that powers everything from missiles to hospitals?

The answer is the EuroStack—a bold plan to rebuild Europe’s tech backbone layer by layer, with the same urgency once devoted to steel, coal, and oil. That will require a decisive mobilization that treats chips, data, and AI as strategic resources. Europe still has time to act—but that window is closing. Our proposed EuroStack offers a holistic approach that tackles risks at every level of digital infrastructure and amplifies the continent’s strengths.

The EuroStack comprises seven interconnected layers: critical raw materials, chips, networks, the Internet of Things, cloud infrastructure, software platforms, and finally data and AI.

Every microchip, battery, and satellite begins with raw materials—lithium, cobalt, rare-earth metals—that Europe doesn’t control. China commands 60-80 percent of global rare-earth production, while Russia weaponizes gas pipelines. Europe’s green and digital transitions will collapse without secure access to these resources. Beijing’s recent export restrictions on gallium and germanium, both critical for semiconductors, served as a stark wake-up call.

To survive, Europe must forge strategic alliances with resource-rich nations such as Namibia and Chile, invest in recycling technologies, and build mineral stockpiles modeled on its strategic oil reserves. However, this strategy will need to steer clear of subsidizing conflict or profiting from war-driven minerals, as seen in the tensions between Rwanda and the Democratic Republic of the Congo and the latter’s criminal complaints against Apple in Europe—demonstrating how resource struggles can intensify regional instability.

Above this resource base lies the silicon layer, where chips are designed, produced, and integrated. Semiconductors are today’s geopolitical currency, yet Europe’s share of global chip production has dwindled to just 9 percent. U.S. giants such as Intel and Nvidia dominate design, while Asia’s Samsung and TSMC handle most of the manufacturing. Even ASML, Europe’s crown jewel in lithography, finds itself caught in the crossfire of the U.S.-China chip war.

Although ASML dominates the global market for the machines that produce chips, Washington is using its control over critical components and China over raw materials to put pressure on the company. To regain control, Europe must double down on its strengths in automotive, industrial, and health care chipsets. Building pan-European foundries in hubs such as Dresden, Germany, and the Dutch city of Eindhoven—backed by a 100 billion euro sovereign tech fund—could challenge the U.S. CHIPS and Science Act and restore Europe’s foothold.

Next comes connectivity, the digital networks that underpin everything else. When Russian tanks rolled into Ukraine, Kyiv’s generals relied on Starlink—a U.S. satellite system—to coordinate defenses. And U.S. negotiators last month suggested cutting access if no deal were made on Ukrainian resources. Europe’s own Iris2 network remains behind schedule, leaving the European Union vulnerable if strategic interests clash.

Meanwhile, China’s Huawei still dominates 5G infrastructure, with Ericsson and Nokia operating at roughly half its size. Italian Prime Minister Giorgia Meloni has even floated buying Starlink coverage, underscoring how urgent it is for Europe to accelerate Iris2, develop secure 6G, and mandate a “Buy European” policy for critical infrastructure.

A key but often overlooked battleground is the Internet of Things, or IoT. Chinese drones, U.S. sensors, and foreign-controlled industrial platforms threaten to seize control of ports, power grids, and factories. Yet Europe’s engineering prowess in robotics offers a lifeline—if it pivots from consumer gadgets to industrial applications. By harnessing this expertise, Europe can develop secure, homegrown IoT solutions for critical infrastructure, ensuring that smart cities and energy grids are built on robust European standards and safeguarded against cyberattacks.

Then there is the cloud, where data is stored, processed, and mined to train next-generation algorithms. Three U.S. giants—Amazon, Microsoft, and Google—dominate roughly 70 percent of the global market. The EU’s Gaia-X project attempted to forge a European alternative, but traction has been limited.

Still, the lesson from DeepSeek is clear: Controlling data centers and optimizing infrastructure can revolutionize AI innovation. Europe must push for its own sovereign cloud environment—perhaps through decentralized, interoperable clouds that undercut the scale advantage of Big Tech—optimized for privacy and sustainability. Otherwise, European hospitals, banks, and cities will be forced to rent server space in Virginia or Shanghai.

A sovereign cloud is more than a mere repository of data; it represents an ecosystem built on decentralization, interoperability, and stringent privacy and data protection standards, with client data processed and stored in Europe.

Gaia-X faltered due to a lack of unified vision, political commitment, and sufficient scale. To achieve true technological sovereignty, Europe must challenge the monopolistic dominance of global tech giants by ensuring that sensitive information remains within its borders and adheres to robust regulatory frameworks.

When it comes to software, Europe runs on U.S. code. Microsoft Windows powers its offices, Google’s Android runs its phones, and SAP—once a European champion—now relies heavily on U.S. cloud giants. Aside from pockets of strength at companies such as SAP and Dassault Systèmes, Europe’s software ecosystem remains marginal. Open-source software offers an escape hatch but only if Europe invests in it aggressively.

Over time, strategic procurement and robust investments could loosen U.S. Big Tech’s grip. A top priority should be a Europe-wide, privacy-preserving digital identity system—integrated with the digital euro—to protect monetary sovereignty and curb crypto-fueled volatility. Piece by piece, Europe can replace proprietary lock-in with democratic tools.

Finally, there is AI and data, the layer where new value is being generated at breakneck speed. While the United States and China have seized an early lead via OpenAI, Anthropic, and DeepSeek, the field remains open. Europe boasts world-class supercomputing centers and strong AI research, yet it struggles to translate these into scalable ventures. The solution? “AI factories”—public-private hubs that link Europe’s strengths in health care, climate science, and advanced manufacturing.

Europeans could train AI to predict wildfires, not chase ad clicks, and license algorithms under ethical frameworks, not exploitative corporate terms. Rather than only mimicking ChatGPT, Europe should fund AI for societal challenges through important projects of common European interest, double down on high-performance computing infrastructure, and build data commons that reflect core democratic values—privacy, transparency, and human dignity.

The EuroStack isn’t about isolationism; it’s a bold assertion of European sovereignty. A sovereign tech fund of at least 100 billion euros—modeled on Europe’s pandemic recovery drive—could spark cross-border innovation and empower EU industries to shape their own destiny. And a Buy European procurement act would turn public purchasing into a tool for strategic autonomy.

This act could go beyond traditional mandates, championing ethical, homegrown technology by setting forward-thinking criteria that strengthen every link in Europe’s digital ecosystem—from chips and cloud infrastructures to AI and IoT sensors. European chips would be engineered for sovereign cloud systems, AI would be trained on European data, and IoT devices would integrate seamlessly with European satellites. This integrated approach could break the cycle of dependency on foreign suppliers.

This isn’t about shutting out global players; it’s about creating a sophisticated, multidimensional policy tool that champions European priorities. In doing so, Europe can secure its technological future and assert its strategic autonomy in a rapidly evolving global order.

Critics argue that the difference in mindset between Silicon Valley and Brussels is an obstacle, especially the bureaucratic nature of the EU and its focus on regulation. But other countries known for bureaucracy—such as India, China, and South Korea—have achieved homegrown digital technology from a much lower technological base than the EU. Indeed, through targeted industrial policies and massive investments, South Korea has become a world leader in the layers of chips and IoT. The EU currently already has a strong technological base with companies such as ASML, Nokia, and Ericsson.

European overregulation is not the issue; the real problem is a lack of focus and investment. Until now, the EU has never fully committed to a common digital industrial policy that would allow it to innovate on its own terms. Former European Central Bank President Mario Draghi’s recent report on EU competitiveness—which calls for halting further regulation in favor of massive investments—and incoming German Chancellor Friedrich Merz’s bold debt reforms signal a much-needed shift in mindset within the EU.

In the same spirit, Commission President Ursula von der Leyen has launched a defense package providing up to 800 billion euros to boost Europe’s industrial and technological sovereignty that could finally align ambition with strategic autonomy.

If digital autonomy isn’t at the forefront of these broader defense and infrastructure strategies, Europe risks missing its last best chance to chart an independent course on the global stage.

To secure its future, Europe must adopt a Buy European act for defense and critical digital infrastructures and implement a European Sovereign Tech Agency in the model of the U.S. Defense Advanced Research Projects Agency—one that drives strategic investments, spearheads AI development, and fosters disruptive innovation while shaping a forward-looking industrial policy across the EU.

The path forward requires ensuring that investments in semiconductors, networks, and AI reinforce one another, keeping critical technologies—chips, connectivity, and data processing—firmly under the EU’s control to prevent foreign interests from pulling the plug when geopolitics shift.

Europe’s relative decline once seemed tolerable when these risks felt hypothetical, but real-world events—from undersea cable sabotage to wartime reliance on foreign satellite constellations—have exposed the EU’s fragility.

If leaders fail to seize this moment, they will cede control to external techno-powers with little incentive to respect Europe’s needs or ideals. Once this window closes, catching up—or even keeping pace—will be nearly impossible.

The EuroStack represents Europe’s last best chance to shape its own destiny: Build it, or become a digital colony.

[lokiinmediasideblog]

FISA 702 HAS PASSED THE HOUSED. WE MUST STOP IT!

Fax your legislators! TELL THEM YOU WON'T VOTE FOR THEM IF THEY VOTE YES ON FISA (Fy-zah) 702!

You can also fax your legislators for FREE at:

From Edward Snowden's Twitter:

If you were mad about your House rep voting to let the government spy on you without a warrant ("FISA 702" - fy-za seven-oh-two), we may have one last shot. CALL YOUR REP @ (202) 224-3121 and say "𝗜𝗳 𝘆𝗼𝘂 𝘃𝗼𝘁𝗲 𝗳𝗼𝗿 𝟳𝟬𝟮, 𝗜 𝘃𝗼𝘁𝗲 𝘁𝗼 𝗴𝗲𝘁 𝗿𝗶𝗱 𝗼𝗳 𝘆𝗼𝘂."

From the article link:

House lawmakers voted on Friday to reauthorize section 702 of the Foreign Intelligence Surveillance Act, or Fisa, including a key measure that allows for warrantless surveillance of Americans. The controversial law allows for far-reaching monitoring of foreign communications, but has also led to the collection of US citizens’ messages and phone calls.

Lawmakers voted 273–147 to approve the law, which the Biden administration has for years backed as an important counterterrorism tool. An amendment that would have required authorities seek a warrant failed, in a tied 212-212 vote across party lines.

Donald Trump opposed the reauthorization of the bill, posting to his Truth Social platform on Wednesday: “KILL FISA, IT WAS ILLEGALLY USED AGAINST ME, AND MANY OTHERS. THEY SPIED ON MY CAMPAIGN!!!”

The law, which gives the government expansive powers to view emails, calls and texts, has long been divisive and resulted in allegations from civil liberties groups that it violates privacy rights. House Republicans were split in the lead-up to vote over whether to reauthorize section 702, the most contentious aspect of the bill, with Mike Johnson, the House speaker, struggling to unify them around a revised version of the pre-existing law.

Republicans shot down a procedural vote on Wednesday that would have allowed Johnson to put the bill to a floor vote, in a further blow to the speaker’s ability to find compromise within his party. Following the defeat, the bill was changed from a five-year extension to a two-year extension of section 702 – an effort to appease far-right Republicans who believe Trump will be president by the time it expires.

Section 702 allows for government agencies such as the National Security Administration to collect data and monitor the communications of foreign citizens outside of US territory without the need for a warrant, with authorities touting it as a key tool in targeting cybercrime, international drug trafficking and terrorist plots. Since the collection of foreign data can also gather communications between people abroad and those in the US, however, the result of section 702 is that federal law enforcement can also monitor American citizens’ communications.

Section 702 has faced opposition before, but it became especially fraught in the past year after court documents revealed that the FBI had improperly used it almost 300,000 times – targeting racial justice protesters, January 6 suspects and others. That overreach emboldened resistance to the law, especially among far-right Republicans who view intelligence services like the FBI as their opponent.

Trump’s all-caps post further weakened Johnson’s position. Trump’s online remarks appeared to refer to an FBI investigation into a former campaign adviser of his, which was unrelated to section 702. Other far-right Republicans such as Matt Gaetz similarly vowed to derail the legislation, putting its passage in peril.

Meanwhile, the Ohio congressman Mike Turner, Republican chair of the House Intelligence Committee, told lawmakers on Friday that failing to reauthorize the bill would be a gift to China’s government spying programs, as well as Hamas and Hezbollah.

“We will be blind as they try to recruit people for terrorist attacks in the United States,” Turner said on Friday on the House floor.

The California Democratic representative and former speaker Nancy Pelosi also gave a statement in support of passing section 702 with its warrantless surveillance abilities intact, urging lawmakers to vote against an amendment that would weaken its reach.

“I don’t have the time right now, but if members want to know I’ll tell you how we could have been saved from 9/11 if we didn’t have to have the additional warrants,” Pelosi said.

Debate over Section 702 pitted Republicans who alleged that the law was a tool for spying on American citizens against others in the GOP who sided with intelligence officials and deemed it a necessary measure to stop foreign terrorist groups. One proposed amendment called for requiring authorities to secure a warrant before using section 702 to view US citizens’ communications, an idea that intelligence officials oppose as limiting their ability to act quickly. Another sticking point in the debate was whether law enforcement should be prohibited from buying information on American citizens from data broker firms, which amass and sell personal data on tens of millions of people, including phone numbers and email addresses.

Section 702 dates back to the George W Bush administration, which secretly ran warrantless wiretapping and surveillance programs in the aftermath of the 9/11 terror attacks. In 2008, Congress passed section 702 as part of the Fisa Amendments Act and put foreign surveillance under more formal government oversight. Lawmakers have renewed the law twice since, including in 2018 when they rejected an amendment that would have required authorities to get warrants for US citizens’ data.

Last year Merrick Garland, the attorney general, and Avril Haines, director of national intelligence, sent a letter to congressional leaders telling them to reauthorize section 702. They claimed that intelligence gained from it resulted in numerous plots against the US being foiled, and that it was partly responsible for facilitating the drone strike that killed the al-Qaida leader, Ayman al-Zawahiri, in 2022.

[feminist-space]

"Just weeks before the implosion of AllHere, an education technology company that had been showered with cash from venture capitalists and featured in glowing profiles by the business press, America’s second-largest school district was warned about problems with AllHere’s product.

As the eight-year-old startup rolled out Los Angeles Unified School District’s flashy new AI-driven chatbot — an animated sun named “Ed” that AllHere was hired to build for $6 million — a former company executive was sending emails to the district and others that Ed’s workings violated bedrock student data privacy principles.

Those emails were sent shortly before The 74 first reported last week that AllHere, with $12 million in investor capital, was in serious straits. A June 14 statement on the company’s website revealed a majority of its employees had been furloughed due to its “current financial position.” Company founder and CEO Joanna Smith-Griffin, a spokesperson for the Los Angeles district said, was no longer on the job.

Smith-Griffin and L.A. Superintendent Alberto Carvalho went on the road together this spring to unveil Ed at a series of high-profile ed tech conferences, with the schools chief dubbing it the nation’s first “personal assistant” for students and leaning hard into LAUSD’s place in the K-12 AI vanguard. He called Ed’s ability to know students “unprecedented in American public education” at the ASU+GSV conference in April.

Through an algorithm that analyzes troves of student information from multiple sources, the chatbot was designed to offer tailored responses to questions like “what grade does my child have in math?” The tool relies on vast amounts of students’ data, including their academic performance and special education accommodations, to function.

Meanwhile, Chris Whiteley, a former senior director of software engineering at AllHere who was laid off in April, had become a whistleblower. He told district officials, its independent inspector general’s office and state education officials that the tool processed student records in ways that likely ran afoul of L.A. Unified’s own data privacy rules and put sensitive information at risk of getting hacked. None of the agencies ever responded, Whiteley told The 74.

...

In order to provide individualized prompts on details like student attendance and demographics, the tool connects to several data sources, according to the contract, including Welligent, an online tool used to track students’ special education services. The document notes that Ed also interfaces with the Whole Child Integrated Data stored on Snowflake, a cloud storage company. Launched in 2019, the Whole Child platform serves as a central repository for LAUSD student data designed to streamline data analysis to help educators monitor students’ progress and personalize instruction.

Whiteley told officials the app included students’ personally identifiable information in all chatbot prompts, even in those where the data weren’t relevant. Prompts containing students’ personal information were also shared with other third-party companies unnecessarily, Whiteley alleges, and were processed on offshore servers. Seven out of eight Ed chatbot requests, he said, are sent to places like Japan, Sweden, the United Kingdom, France, Switzerland, Australia and Canada.

Taken together, he argued the company’s practices ran afoul of data minimization principles, a standard cybersecurity practice that maintains that apps should collect and process the least amount of personal information necessary to accomplish a specific task. Playing fast and loose with the data, he said, unnecessarily exposed students’ information to potential cyberattacks and data breaches and, in cases where the data were processed overseas, could subject it to foreign governments’ data access and surveillance rules.

Chatbot source code that Whiteley shared with The 74 outlines how prompts are processed on foreign servers by a Microsoft AI service that integrates with ChatGPT. The LAUSD chatbot is directed to serve as a “friendly, concise customer support agent” that replies “using simple language a third grader could understand.” When querying the simple prompt “Hello,” the chatbot provided the student’s grades, progress toward graduation and other personal information.

AllHere’s critical flaw, Whiteley said, is that senior executives “didn’t understand how to protect data.”

...

Earlier in the month, a second threat actor known as Satanic Cloud claimed it had access to tens of thousands of L.A. students’ sensitive information and had posted it for sale on Breach Forums for $1,000. In 2022, the district was victim to a massive ransomware attack that exposed reams of sensitive data, including thousands of students’ psychological evaluations, to the dark web.

With AllHere’s fate uncertain, Whiteley blasted the company’s leadership and protocols.

“Personally identifiable information should be considered acid in a company and you should only touch it if you have to because acid is dangerous,” he told The 74. “The errors that were made were so egregious around PII, you should not be in education if you don’t think PII is acid.”

Read the full article here:

https://www.the74million.org/article/whistleblower-l-a-schools-chatbot-misused-student-data-as-tech-co-crumbled/

[groupfazza]

حمدان بن محمد

يصدر قراراً بإنشاء السّجِل المُوحّد لسُكّان إمارة دبي ..

أصدر سموّ الشيخ حمدان بن محمد بن راشد آل مكتوم، ولي عهد دبي، نائب رئيس مجلس الوزراء وزير الدفاع، بصفته رئيساً للمجلس التنفيذي لإمارة دبي، قرار المجلس التنفيذي رقم (50) لسنة 2024 بشأن السّجل المُوحّد لسكان إمارة دبي المُنشأ بمُوجب هذا القرار ويتضمّن بيانات مُحدّثة لحظيّاً لكل الخصائص التفصيلية لسُكّان دبي.

يحتوي السجل المركزي لسُكّان دبي على بيانات دقيقة وشاملة ومُحدَّثة، ويهدف إلى حصر البيانات الخاصة بالسّجل، وتصنيفها وتوفيرها بشكل لحظي، مما يسهم  في عملية إعداد الخطط والاستراتيجيات والسياسات الحُكوميّة، بناءً على بيانات ومعلومات دقيقة، كما يسهم  في توفير نتائج التعداد السُّكاني لإمارة دبي دوريّاً ولحظيّاً، والاستجابة لتطبيق سياسات الإمارة المُتعلّقة بالتحوّل الرقمي، والمُساهمة في تطوير وتقديم الخدمات والبرامج الحكومية بكفاءة وفاعلية، وكذلك إعداد نماذج التنبُّؤ المُستقبلي لسُكّان دبي، بهدف دعم الخطط التنموية ورسم السياسات الاقتصادية والاجتماعية.

His Highness Sheikh Hamdan bin Mohammed bin Rashid Al Maktoum, Crown Prince of Dubai, Deputy Prime Minister and Minister of Defence of the UAE, and Chairman of The Executive Council of Dubai, issued Executive Council Resolution No. (50) of 2024 pertaining to the creation of a unified Dubai population registry, which seeks to provide comprehensive real-time data on Dubai’s residents.

The registry aims to centralise Dubai's population data, ensuring accuracy, comprehensiveness, and real-time updates. It supports the development of government plans, strategies, and policies and provides regular census results in line with Dubai’s digital transformation goals. Additionally, it helps improve government services and programmes while enabling future population forecasting to guide economic and social policies. According to the resolution, the unified Dubai population registry will be established on the digital platform of the Dubai Data and Statistics Establishment. This Registry will be the official and sole source of population data for the emirate.

Wednesday, 11 September 2024 الأربعاء

[shantitechnology]

How ERP Software for Engineering Companies Improves Operational Efficiency

In today's competitive market, engineering companies are under immense pressure to deliver innovative solutions, maintain cost-efficiency, and meet tight deadlines—all while ensuring the highest standards of quality.  As the engineering industry becomes more complex and digitally driven, operational efficiency has become a key metric for success.  One of the most transformative tools driving this change is ERP (Enterprise Resource Planning) software.

For companies seeking to streamline their operations, ERP software for engineering companies provides a centralized platform that integrates every function—ranging from procurement, design, production, finance, HR, and project management.  In India, especially in industrial hubs like Delhi, the demand for such software is growing rapidly.  Let us explore how ERP systems significantly enhance operational efficiency and why choosing the right ERP software company in India is vital for engineering enterprises.

Centralized Data Management:  The Foundation of Efficiency

One of the major challenges engineering companies face is managing vast amounts of data across departments.  Manual entries and siloed systems often lead to redundancies, errors, and miscommunication.  With ERP software for engineering companies in India, organizations gain access to a unified database that connects all operational areas.

Real-time data availability ensures that everyone, from the design team to procurement and finance, is working with the latest information.  This reduces rework, improves collaboration, and speeds up decision-making, thereby increasing efficiency.

Streamlined Project Management

Engineering projects involve numerous stages—from planning and design to execution and maintenance.  Tracking timelines, resources, costs, and deliverables manually or via disparate systems often results in delays and budget overruns.

Modern engineering ERP software companies in Delhi provide robust project management modules that allow firms to plan, schedule, and monitor projects in real time.  This includes milestone tracking, Gantt charts, resource allocation, and budget forecasting.  Managers can gain visibility into bottlenecks early on and reallocate resources efficiently, ensuring timely delivery.

Automation of Core Processes

Automating routine tasks is one of the key advantages of implementing ERP software.  From generating purchase orders and invoices to managing payroll and inventory, ERP eliminates the need for repetitive manual work.  This not only saves time but also minimizes human error.

The best ERP software provider in India will offer customizable automation workflows tailored to the specific needs of engineering companies.  For instance, when a material stock reaches a minimum threshold, the ERP system can automatically generate a requisition and notify the purchasing team.  This ensures zero downtime due to material shortages.

Enhanced Resource Planning and Allocation

Resource planning is crucial in engineering projects where labour, materials, and machinery must be utilized efficiently.  A good ERP software for engineering companies provides detailed insights into resource availability, utilization rates, and project requirements.

By analysing this data, companies can better allocate resources, avoid overbooking, and reduce idle time.  This leads to significant cost savings and ensures optimal productivity across the board.

Integration with CAD and Design Tools

Many ERP solution providers in Delhi now offer integration with design and CAD software.  This is particularly useful for engineering firms where design data is often needed for procurement, costing, and production.

When ERP is integrated with CAD, design changes automatically reflect across related departments.  This seamless flow of information eliminates miscommunication and ensures that downstream processes such as procurement and manufacturing are aligned with the latest design specifications.

Real-time Cost and Budget Management

Keeping engineering projects within budget is a continuous challenge.  Unexpected costs can arise at any stage, and without proper monitoring, they can spiral out of control.  ERP software providers in India equip engineering companies with real-time budget tracking tools.

From initial cost estimation to actual expenditure, companies can monitor every aspect of the financials.  Alerts can be configured for budget deviations, helping management take corrective action promptly.  This financial control is a cornerstone of operational efficiency and long-term profitability.

Improved Compliance and Documentation

Engineering companies must adhere to various compliance standards, certifications, and audit requirements.  Maintaining accurate documentation and audit trails is critical.  ERP systems automate compliance tracking and generate necessary documentation on demand.

By partnering with trusted ERP software companies in Delhi, engineering firms can ensure they meet industry standards with minimal administrative overhead.  Features like document versioning, digital signatures, and compliance checklists help organizations stay audit-ready at all times.

Scalable and Future-ready Solutions

One of the biggest advantages of working with a reputed engineering ERP software company in Delhi is access to scalable solutions.  As engineering businesses grow, their operational complexities increase.  Modern ERP systems are modular and scalable, allowing businesses to add new functionalities as needed without disrupting existing operations.

Moreover, cloud-based ERP solutions offer flexibility, remote access, and lower infrastructure costs.  These are especially beneficial for engineering companies that operate across multiple locations or work on-site with clients.

Enhanced Customer Satisfaction

Efficient operations lead to improved delivery timelines, better quality products, and faster customer service—all of which directly impact customer satisfaction.  With ERP, engineering companies can maintain accurate production schedules, meet delivery deadlines, and respond to customer queries with real-time information.

By choosing the right ERP software for engineering companies in India, firms not only improve internal operations but also build a strong reputation for reliability and professionalism among their clients.

Choosing the Right ERP Partner

With the growing number of ERP solution providers in India, selecting the right partner is crucial.  Here are a few factors to consider:

Domain Expertise:  Choose a vendor with experience in the engineering sector.

Customization:  The software should be tailored to suit your specific workflows.

Scalability:  Ensure the ERP solution grows with your business.

Support & Training:  Opt for companies that provide ongoing support and employee training.

Integration Capabilities:  Check whether the ERP can integrate with your existing systems, including CAD tools, financial software, etc.

Trusted ERP software companies in Delhi like Shantitechnology (STERP) stand out because they offer deep industry knowledge, scalable platforms, and dedicated customer support—making them ideal partners for engineering businesses seeking to transform operations.

Final Thoughts

In a rapidly evolving business landscape, engineering companies must adopt smart technologies to stay ahead.  ERP software is not just an IT solution—it is a strategic tool that can redefine how engineering firms manage their projects, people, and performance.

From streamlining project workflows and automating routine tasks to enhancing collaboration and boosting resource efficiency, ERP solutions deliver measurable gains across the organization.  For those looking to make a digital leap, partnering with a top-rated ERP software company in India can be the difference between stagnation and scalable success.

Looking for a reliable ERP partner?  Shantitechnology (STERP) is among the leading ERP solution providers in Delhi, offering tailored ERP software for engineering companies to help you boost productivity, reduce costs, and grow sustainably.  Contact us today to learn more!

[infoveave]

Real-World Applications of AI in Data Analytics Across Industries

Artificial Intelligence (AI) has transformed the way businesses leverage data analytics, enabling organizations to gain deeper insights, improve decision-making, and enhance operational efficiency. Across various industries, AI-driven data analytics is revolutionizing processes, uncovering hidden patterns, and driving innovation. This article explores the real-world applications of AI in data analytics across multiple sectors, demonstrating its profound impact on modern business landscapes.

1. Healthcare: Enhancing Diagnostics and Personalized Medicine

The healthcare industry has significantly benefited from AI-powered data analytics, particularly in diagnostics and personalized medicine. AI-driven algorithms analyze vast datasets from electronic health records (EHRs), medical images, and genomic sequences to detect diseases at an early stage. For example, AI systems are being used to identify cancerous cells in radiology scans with higher accuracy than human radiologists. Additionally, predictive analytics help in forecasting disease outbreaks and patient deterioration, allowing for timely medical interventions. Personalized treatment plans are another crucial application, where AI assesses genetic data and medical history to recommend tailored therapies, improving patient outcomes.

2. Finance: Fraud Detection and Risk Management

In the financial sector, AI-powered data analytics is instrumental in fraud detection and risk management. Traditional fraud detection methods often fail to keep up with sophisticated cyber threats. AI algorithms analyze transaction patterns in real time, identifying anomalies that may indicate fraudulent activities. Machine learning models assess credit risk by evaluating an individual's financial behavior and history, enabling banks to make informed lending decisions. Additionally, AI aids in algorithmic trading, where vast datasets are processed to predict market trends and execute high-frequency trades, optimizing investment portfolios.

3. Retail: Enhancing Customer Experience and Inventory Management

Retail businesses use AI in data analytics to enhance customer experience and optimize inventory management. AI-powered recommendation engines analyze customer preferences, purchase history, and browsing behavior to provide personalized product suggestions, increasing sales and customer satisfaction. Predictive analytics help retailers forecast demand, ensuring optimal stock levels and reducing wastage. AI-driven chatbots and virtual assistants improve customer service by offering instant support and resolving queries efficiently. Furthermore, AI enables dynamic pricing strategies, adjusting product prices based on demand fluctuations, competitor pricing, and customer behavior.

4. Manufacturing: Predictive Maintenance and Supply Chain Optimization

AI-driven data analytics is transforming the manufacturing industry by enabling predictive maintenance and optimizing supply chains. Predictive maintenance uses AI to analyze data from sensors and IoT devices to detect potential equipment failures before they occur, reducing downtime and maintenance costs. In supply chain management, AI assesses historical data, market trends, and weather conditions to optimize logistics, ensuring timely deliveries and cost efficiency. Smart factories integrate AI-powered robotics and automation, enhancing production efficiency and minimizing errors.

5. Marketing: Advanced Customer Insights and Campaign Optimization

In marketing, AI is revolutionizing data analytics by providing advanced customer insights and optimizing campaigns. AI-driven sentiment analysis assesses social media and customer feedback, allowing brands to understand consumer emotions and preferences. Predictive analytics help marketers identify potential customers, improving targeting strategies. AI automates content personalization, ensuring the right messages reach the right audience at the right time. Additionally, AI enhances advertising performance by analyzing engagement metrics and adjusting campaign strategies in real-time for maximum ROI.

6. Transportation and Logistics: Route Optimization and Traffic Management

The transportation and logistics industry leverages AI-driven data analytics for route optimization and traffic management. AI algorithms process real-time traffic data, weather conditions, and historical patterns to determine the most efficient delivery routes, reducing fuel consumption and improving delivery times. Ride-sharing companies use AI to match drivers with passengers efficiently, minimizing wait times and optimizing fleet utilization. In urban planning, AI-powered traffic management systems analyze congestion patterns and suggest alternative routes to improve traffic flow and reduce emissions.

7. Energy Sector: Smart Grids and Renewable Energy Optimization

In the energy sector, AI is playing a crucial role in optimizing energy consumption and integrating renewable energy sources. Smart grids leverage AI to predict energy demand and supply fluctuations, ensuring efficient distribution and reducing power outages. AI-powered data analytics help in monitoring equipment health, preventing failures in power plants and transmission networks. Renewable energy companies use AI to forecast weather patterns and optimize solar and wind energy generation, improving sustainability efforts.

8. Education: Personalized Learning and Administrative Efficiency

The education sector is increasingly adopting AI-driven data analytics to enhance personalized learning and streamline administrative tasks. AI-powered learning platforms analyze student performance data to customize learning materials and provide personalized recommendations. Automated grading systems reduce the burden on educators, allowing them to focus on interactive teaching. Predictive analytics help institutions identify students at risk of dropping out, enabling timely interventions to improve retention rates. Additionally, AI assists in optimizing resource allocation and curriculum planning, enhancing overall educational effectiveness.

9. Real Estate: Property Valuation and Market Trends Analysis

AI-driven data analytics is reshaping the real estate industry by improving property valuation and market trend analysis. AI models assess various factors, such as location, market demand, historical pricing data, and economic indicators, to predict property values accurately. Real estate platforms use AI to recommend properties based on user preferences, streamlining the home-buying process. AI-powered chatbots assist customers in finding suitable listings and answering queries in real time, improving customer experience.

Conclusion

AI has become an indispensable tool in data analytics, revolutionizing industries by offering predictive insights, automation, and efficiency improvements. Whether in healthcare, finance, retail, or manufacturing, AI-driven data analytics enhances decision-making and drives innovation. Businesses that integrate AI for data analytics into their operations gain a competitive edge by harnessing the power of machine learning and automation. As advancements in AI and data analytics software continue to evolve, their impact across industries will only become more profound, shaping the future of business intelligence and strategic decision-making.

[jcmarchi]

Unlock the other 99% of your data - now ready for AI

New Post has been published on https://thedigitalinsider.com/unlock-the-other-99-of-your-data-now-ready-for-ai/

Unlock the other 99% of your data - now ready for AI

For decades, companies of all sizes have recognized that the data available to them holds significant value, for improving user and customer experiences and for developing strategic plans based on empirical evidence.

As AI becomes increasingly accessible and practical for real-world business applications, the potential value of available data has grown exponentially. Successfully adopting AI requires significant effort in data collection, curation, and preprocessing. Moreover, important aspects such as data governance, privacy, anonymization, regulatory compliance, and security must be addressed carefully from the outset.

In a conversation with Henrique Lemes, Americas Data Platform Leader at IBM, we explored the challenges enterprises face in implementing practical AI in a range of use cases. We began by examining the nature of data itself, its various types, and its role in enabling effective AI-powered applications.

Henrique highlighted that referring to all enterprise information simply as ‘data’ understates its complexity. The modern enterprise navigates a fragmented landscape of diverse data types and inconsistent quality, particularly between structured and unstructured sources.

In simple terms, structured data refers to information that is organized in a standardized and easily searchable format, one that enables efficient processing and analysis by software systems.

Unstructured data is information that does not follow a predefined format nor organizational model, making it more complex to process and analyze. Unlike structured data, it includes diverse formats like emails, social media posts, videos, images, documents, and audio files. While it lacks the clear organization of structured data, unstructured data holds valuable insights that, when effectively managed through advanced analytics and AI, can drive innovation and inform strategic business decisions.

Henrique stated, “Currently, less than 1% of enterprise data is utilized by generative AI, and over 90% of that data is unstructured, which directly affects trust and quality”.

The element of trust in terms of data is an important one. Decision-makers in an organization need firm belief (trust) that the information at their fingertips is complete, reliable, and properly obtained. But there is evidence that states less than half of data available to businesses is used for AI, with unstructured data often going ignored or sidelined due to the complexity of processing it and examining it for compliance – especially at scale.

To open the way to better decisions that are based on a fuller set of empirical data, the trickle of easily consumed information needs to be turned into a firehose. Automated ingestion is the answer in this respect, Henrique said, but the governance rules and data policies still must be applied – to unstructured and structured data alike.

Henrique set out the three processes that let enterprises leverage the inherent value of their data. “Firstly, ingestion at scale. It’s important to automate this process. Second, curation and data governance. And the third [is when] you make this available for generative AI. We achieve over 40% of ROI over any conventional RAG use-case.”

IBM provides a unified strategy, rooted in a deep understanding of the enterprise’s AI journey, combined with advanced software solutions and domain expertise. This enables organizations to efficiently and securely transform both structured and unstructured data into AI-ready assets, all within the boundaries of existing governance and compliance frameworks.

“We bring together the people, processes, and tools. It’s not inherently simple, but we simplify it by aligning all the essential resources,” he said.

As businesses scale and transform, the diversity and volume of their data increase. To keep up, AI data ingestion process must be both scalable and flexible.

“[Companies] encounter difficulties when scaling because their AI solutions were initially built for specific tasks. When they attempt to broaden their scope, they often aren’t ready, the data pipelines grow more complex, and managing unstructured data becomes essential. This drives an increased demand for effective data governance,” he said.

IBM’s approach is to thoroughly understand each client’s AI journey, creating a clear roadmap to achieve ROI through effective AI implementation. “We prioritize data accuracy, whether structured or unstructured, along with data ingestion, lineage, governance, compliance with industry-specific regulations, and the necessary observability. These capabilities enable our clients to scale across multiple use cases and fully capitalize on the value of their data,” Henrique said.

Like anything worthwhile in technology implementation, it takes time to put the right processes in place, gravitate to the right tools, and have the necessary vision of how any data solution might need to evolve.

IBM offers enterprises a range of options and tooling to enable AI workloads in even the most regulated industries, at any scale. With international banks, finance houses, and global multinationals among its client roster, there are few substitutes for Big Blue in this context.

To find out more about enabling data pipelines for AI that drive business and offer fast, significant ROI, head over to this page.

[kariniai]

Karini.ai: Navigating the Gen AI Era

In an era where data is the new gold, businesses have grappled with the challenge of data silos - isolated reservoirs of information accessible only to specific organizational factions.

This compartmentalization of data is the antithesis of what we term 'healthy' data: information that's universally comprehensible and accessible, fueling informed decision-making across an enterprise. For decades, enterprises have endeavored to dismantle these silos, only to inadvertently erect new ones dictated by the need for efficient data flows and technological limitations.

However, the landscape is radically transforming, thanks to Generative AI (Gen AI) and its groundbreaking capabilities.

The Transformational Shift with Gen AI:

The advent of Gen AI heralds an unprecedented shift in data management and accessibility. With the advent of Retrieval Augmented Generation (RAG) and its integration into infinitely expandable vector data stores, the once-unthinkable is now a tangible reality. Karini.ai stands at the forefront of this revolution, harnessing Gen AI to bridge the gaps between disparate data stores, file repositories, and databases, turning unconnectable into a seamlessly interconnected web of knowledge.

The Dawn of a New Data Era:

For the first time in the annals of corporate history, every line of business has the key to unlock the treasures within all available data, regardless of its domicile. The power of Large Language Models (LLMs) further revolutionizes this landscape, enabling users to query complex data pools through intuitive, natural language. The beauty of this innovation lies not just in its technical prowess but in its adherence to the intricate tapestry of governance and compliance that underpins the corporate world.

Case Studies: The Infinite Horizon of Use Cases:

Karini.ai, armed with Gen AI, is not just transforming businesses; it's redefining them. From marketing insights derived from an ocean of consumer data to predictive maintenance in manufacturing powered by real-time IoT data - the use cases are as limitless as the human imagination. In finance, risk assessment models become more nuanced and robust, drawing from a richer, more diverse set of data points. Patient care personalization reaches new heights in healthcare as medical histories and research data converge to offer bespoke treatment plans.

Karini.ai: Your Navigator in the Gen AI Odyssey:

Navigating the vast seas of data with Gen AI is a venture fraught with challenges, from ensuring data integrity to maintaining privacy and compliance. Karini.ai does not just provide the tools for this journey; it offers the compass and the map. With our expertise, your enterprise can chart its unique course through this brave new world of unified data. We provide the guardrails to ensure your voyage is innovative, secure, compliant, and aligned with your corporate ethos and objectives.

Conclusion: A Call to Pioneer the Future:

The amalgamation of siloed data through Gen AI is not just an operational upgrade; it's a paradigm shift in how businesses perceive and utilize information. It's an invitation to pioneer a future where data is not just a resource but a beacon that guides every strategic decision, every innovation, and every customer interaction. Karini.ai is your partner in this transformative journey, fortified with robust governance and a deep understanding of your business landscape, bringing your business the prowess of Gen AI.

(करिणी) - We are with you on your entire journey…

About us:

Fueled by innovation, we're making the dream of robust Generative AI systems a reality. No longer confined to specialists, Karini.ai empowers non-experts to participate actively in building/testing/deploying Generative AI applications. As the world's first GenAIOps platform, we've democratized GenAI, empowering people to bring their ideas to life – all in one evolutionary platform.

Contact us:

Jerome Mendell

(404) 891-0255

sales@karini.ai

[visionaryvogues03]

John C. May: Steering John Deere into a Future of Smart Industrial Leadership

In the world of smart manufacturing and industrial innovation, few names resonate with the same weight as John C. May, Chairman and CEO of John Deere. With nearly three decades of experience in one of the most iconic American companies, May exemplifies a rare combination of visionary leadership, operational excellence, and a relentless commitment to digital transformation.

John Deere’s reputation as a global leader in agricultural and construction machinery is well known. But under the stewardship of John C. May, the brand has been infused with fresh energy, transitioning from a traditional equipment manufacturer into a dynamic technology enterprise rooted in smart industrial solutions. For CEOs, startup founders, and MNC managers looking to understand the future of the industrial sector, May’s journey offers profound lessons in business strategy, resilience, and innovation.

Early Days and Rise Through the Ranks

John C. May joined Deere & Company in 1997. With a background in finance and systems operations, he brought an analytical rigor that quickly earned him key leadership positions. Over the years, May held multiple roles across different segments of the company, from managing global platforms in Asia and Latin America to spearheading the integration of digital solutions into core machinery.

By the time he was named CEO in 2019, May had already left a considerable mark on the company’s modernization roadmap. He was instrumental in building John Deere’s precision agriculture ecosystem, which has since become a defining feature of the company’s product offerings and value proposition.

Visionary Leadership in the Digital Age

[Source - Forbes]

May’s leadership philosophy is rooted in a simple yet powerful premise: if John Deere is to remain relevant, it must lead, not follow, in the era of smart manufacturing. One of his first initiatives as CEO was to scale the company’s digital backbone, integrating artificial intelligence, cloud computing, and telematics into everyday operations.

He championed the idea that John Deere equipment should no longer be seen as just hardware, but as smart machines embedded within a larger data ecosystem. This repositioning has transformed how the company develops, markets, and supports its equipment worldwide.

Navigating Crisis with Strategic Clarity

Every great business leader is tested by adversity, and May’s tenure coincided with unprecedented global disruptions. From the COVID-19 pandemic to supply chain bottlenecks and geopolitical tensions, May has had to navigate rough waters. Yet, his strategic clarity and calm demeanor allowed John Deere not only to survive but thrive.

During the height of the pandemic, John Deere accelerated its remote diagnostics services, contactless equipment delivery, and virtual training systems. Under May’s direction, the company kept its factories running while prioritizing employee safety, resulting in minimal operational downtime and sustained revenue performance.

Building a Culture of Innovation

While many leaders talk about innovation, John C. May institutionalized it. He restructured internal teams to align around digital-first priorities and pushed for faster go-to-market cycles. He championed cross-functional collaboration, ensuring that R&D, engineering, and business development worked as a unified force.

Under May’s guidance, John Deere has significantly expanded its investment in emerging technologies. From acquiring cutting-edge AI firms like Blue River Technology to partnering with robotics startups, the company is actively shaping the next frontier of industrial equipment.

Emphasis on Customer-Centricity

[Source - Deere & Company - John Deere]

A core component of May’s success has been his emphasis on putting the customer at the center of every decision. Recognizing that farmers, contractors, and forestry operators are under increasing pressure to produce more with fewer resources, May ensured that John Deere’s innovations address real-world pain points.

With digital platforms like the John Deere Operations Center, customers can now visualize their entire fleet, monitor crop performance, and receive data-driven insights to boost productivity. These tools go beyond utility; they form the core of a new kind of customer relationship built on intelligence and empowerment.

Commitment to Sustainability

In an era where ESG (Environmental, Social, and Governance) metrics matter more than ever, John C. May has positioned John Deere as a responsible and forward-looking enterprise. The company has committed to reducing greenhouse gas emissions, improving fuel efficiency, and supporting sustainable land use practices.

Deere’s electric and hybrid equipment initiatives, coupled with its support for regenerative agriculture, underscore a broader shift toward sustainable smart manufacturing. May has repeatedly stated that profitability and environmental responsibility are not mutually exclusive; they are deeply interconnected.

Strategic Global Expansion

May’s global outlook has also played a crucial role in John Deere’s success story. By strengthening the company’s footprint in emerging markets and adapting products for local needs, Deere has grown its international revenue base.

From Asia-Pacific to Latin America, the company’s smart manufacturing equipment is now used across a wide range of environmental and economic contexts. This globalization is both a growth strategy and a diversification buffer, allowing John Deere to hedge against regional slowdowns while capturing new demand.

Talent Development and Inclusive Leadership

A key part of May’s legacy is his belief in nurturing talent. He has invested in leadership development, diversity and inclusion, and STEM education pipelines. Under his leadership, John Deere has improved employee engagement scores and earned recognition as a top employer in the smart manufacturing sector.

This focus on people is central to enabling smart manufacturing at scale. As automation and AI redefine industrial roles, May’s emphasis on workforce retraining ensures that the human side of the equation is not neglected.

Financial Performance and Market Trust

Under May’s leadership, John Deere has delivered robust financial performance. The company’s revenue crossed $60 billion in 2023, with consistent year-over-year growth driven by strong demand for its smart manufacturing equipment solutions. 

At a time when industrial firms face margin compression and capital volatility, May’s approach to operational efficiency and tech-driven differentiation offers a compelling blueprint for sustainable growth.

Looking Ahead: The Future of Smart Manufacturing Industry

[Source - RCR Wireless News]

John C. May is not just managing John Deere, he’s actively reshaping the future of the industrial sector. As technologies like IoT, machine learning, and blockchain converge, May is preparing John Deere to lead in the next wave of industrial innovation.

The company’s investment in autonomy, connectivity, and real-time analytics reflects a deep commitment to staying ahead of the curve. With pilot projects in smart factories, cloud-integrated supply chains, and next-gen data platforms, John Deere is fast becoming a benchmark for industrial transformation.

This next chapter will undoubtedly be anchored in smart manufacturing, a concept that has become synonymous with John C. May’s leadership philosophy.

Conclusion

John C. May’s rise to the helm of John Deere is not just a success story, it is a blueprint for 21st-century leadership. His ability to blend tradition with transformation, strategy with empathy, and innovation with operational excellence sets him apart as one of the most influential business leaders of our time.

For startup founders, CEOs, and corporate leaders seeking inspiration, May’s journey offers a masterclass in aligning purpose with performance. Through his visionary embrace of smart manufacturing, John C. May has not only secured John Deere’s future, but he has elevated the entire industrial landscape.

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[thelaughingmuse]

Some quick reminders for folks who grew up with social media and have that as a big part of their lives, AND are going to be living in the US for the next 3 years and 11 months.

Don't talk to government officials (local or federal) without a warrant.

Whenever possible, protect people that are being targeted by government personnel. Record arrests or 'stops', or consciously step in front of an oncoming confrontation and go into either Auld High Nonsensical or Full Karen modes. If you have the knowledge to do so, challenge the folks heading for a confrontation before they get to and can start that confrontation. (Ask what they're doing, ask if they have the proper warrant / authority, et cetera.)

Don't post photos from protests unless you know how to take photos in such a way that no individuals are identifyable, AND you know how to thoroughly remove EXIF data.

Don't post detailed information anywhere online about where you were and when. It can and will be used against you. Even platforms that are not owned by the higher-profile oligarchs (FB, Twitter, IG, YT, Reddit) can and will be read by people who do not have your best interests at heart.

When you protest, be safe. Don't take your cell phone or tablet, wear a hat or scarf if you have easily identifiable features, wear monocolor clothing, and know where security cameras are so that you can look down, cover up, or both.

Don't use other peoples' names when speaking to or about them if you don't know everyone who could hear your conversaton.

When an unknown someone starts talking to you about the protest, check their shoes. Undercover federal agents, military and paramilitary folks, and police officers may be wearing very distinctive shoes, even if they're otherwise dressed like any other protester. Don't try to bullshit them, just...don't engage.

Be aware of people who want to start throwing things. They may be agitators from other cities. They may be plants. Or (more importantly) the group organizing a given protest may intend for that particular gathering to be nonviolent. While I'm (sadly) sure that there may come a time for less polite / more forceful communications, let your voice be part of a unified, conscious effort.

If you can, coordinate with local folks and be there when protesters are released from custody. Being held even for 6 hours - let alone a few days - is frightening even when we aren't teetering on the brink of fascism, and releases usually happen late at night / early in the morning to further demoralize folks who have been released. (The thinking is that no one will be there, most people feel less confident in a city after dark than in full daylight, demoralize people enough and they'll stop protesting.) Take water, some snacks, a blanket or jacket or umbrella in inclement weather, be prepared to give the people/person a warm welcome and emotional support. Hug, sing songs, play music. Celebrate them getting out. Remind them and police that these people have a community around them.

These can apply to folks who are in other countries also, but I know of so many people in the US that this is going to be their first big encounter with participating in civic discourse of any kind.