#Open-Source Intelligence Software research Open-Source Intelligence Software report Open-Source Intelligence Software research report

[mariacallous]

A United States Customs and Border Protection request for information this week revealed the agency’s plans to find vendors that can supply face recognition technology for capturing data on everyone entering the US in a vehicle like a car or van, not just the people sitting in the front seat. And a CBP spokesperson later told WIRED that the agency also has plans to expand its real-time face recognition capabilities at the border to detect people exiting the US as well—a focus that may be tied to the Trump administration’s push to get undocumented people to “self-deport” and leave the US.

WIRED also shed light this week on a recent CBP memo that rescinded a number of internal policies designed to protect vulnerable people—including pregnant women, infants, the elderly, and people with serious medical conditions—while in the agency’s custody. Signed by acting commissioner Pete Flores, the order eliminates four Biden-era policies.

Meanwhile, as the ripple effects of “SignalGate” continue, the communication app TeleMessage suspended “all services” pending an investigation after former US national security adviser Mike Waltz inadvertently called attention to the app, which subsequently suffered data breaches in recent days. Analysis of TeleMessage Signal’s source code this week appeared to show that the app sends users�� message logs in plaintext, undermining the security and privacy guarantees the service promised. After data stolen in one of the TeleMessage hacks indicated that CBP agents might be users of the app, CBP confirmed its use to WIRED, saying that the agency has “disabled TeleMessage as a precautionary measure.”

A WIRED investigation found that US director of national intelligence Tulsi Gabbard reused a weak password for years on multiple accounts. And researchers warn that an open source tool known as “easyjson” could be an exposure for the US government and US companies, because it has ties to the Russian social network VK, whose CEO has been sanctioned.

And there's more. Each week, we round up the security and privacy news we didn’t cover in depth ourselves. Click the headlines to read the full stories. And stay safe out there.

ICE’s Deportation Airline Hack Reveals Man “Disappeared” to El Salvador

Hackers this week revealed they had breached GlobalX, one of the airlines that has come to be known as “ICE Air” thanks to its use by the Trump administration to deport hundreds of migrants. The data they leaked from the airline includes detailed flight manifests for those deportation flights—including, in at least one case, the travel records of a man whose own family had considered him “disappeared” by immigration authorities and whose whereabouts the US government had refused to divulge.

On Monday, reporters at 404 Media said that hackers had provided them with a trove of data taken from GlobalX after breaching the company’s network and defacing its website. “Anonymous has decided to enforce the Judge's order since you and your sycophant staff ignore lawful orders that go against your fascist plans,” a message the hackers posted to the site read. That stolen data, it turns out, included detailed passenger lists for GlobalX’s deportation flights—including the flight to El Salvador of Ricardo Prada Vásquez, a Venezuelan man whose whereabouts had become a mystery to even his own family as they sought answers from the US government. US authorities had previously declined to tell his family or reporters where he had been sent—only that he had been deported—and his name was even excluded from a list of deportees leaked to CBS News. (The Department of Homeland Security later stated in a post to X that Prada was in El Salvador—but only after a New York Times story about his disappearance.)

The fact that his name was, in fact, included all along on a GlobalX flight manifest highlights just how opaque the Trump administration’s deportation process remains. According to immigrant advocates who spoke with 404 Media, it even raises questions about whether the government itself had deportation records as comprehensive as the airline whose planes it chartered. “There are so many levels at which this concerns me. One is they clearly did not take enough care in this to even make sure they had the right lists of who they were removing, and who they were not sending to a prison that is a black hole in El Salvador,” Michelle Brané, executive director of immigrant rights group Together and Free, told 404 Media. “They weren't even keeping accurate records of who they were sending there.”

The Computer of a DOGE Staffer With Sensitive Access Reportedly Infected With Malware

Elon Musk’s so-called Department of Governmental Efficiency has raised alarms not just due to its often reckless cuts to federal programs, but also the agency’s habit of giving young, inexperienced staffers with questionable vetting access to highly sensitive systems. Now security researcher Micah Lee has found that Kyle Schutt, a DOGE staffer who reportedly accessed the financial system of the Federal Emergency Management Agency, appears to have had infostealer malware on one of his computers. Lee discovered that four dumps of user data stolen by that kind of password-stealing malware included Schutt’s passwords and usernames. It’s far from clear when Schutt’s credentials were stolen, for what machine, or whether the malware would have posed any threat to any government agency’s systems, but the incident nonetheless highlights the potential risks posed by DOGE staffers’ unprecedented access.

Grok AI Will “Undress” Women in Public on X

Elon Musk has long marketed his AI tool Grok as a more freewheeling, less restricted alternative to other large language models and AI image generators. Now X users are testing the limits of Grok’s few safeguards by replying to images of women on the platform and asking Grok to “undress” them. While the tool doesn’t allow the generation of nude images, 404 Media and Bellingcat have found that it repeatedly responded to users’ “undress” prompts with pictures of women in lingerie or bikinis, posted publicly to the site. In one case, Grok apologized to a woman who complained about the practice, but the feature has yet to be disabled.

A Hacked School Software Company Paid a Ransom—but Schools Are Still Being Extorted

This week in don’t-trust-ransomware-gangs news: Schools in North Carolina and Canada warned that they’ve received extortion threats from hackers who had obtained students’ personal information. The likely source of that sensitive data? A ransomware breach last December of PowerSchool, one of the world’s biggest education software firms, according to NBC News. PowerSchool paid a ransom at the time, but the data stolen from the company nonetheless appears to be the same info now being used in the current extortion attempts. “We sincerely regret these developments—it pains us that our customers are being threatened and re-victimized by bad actors,” PowerSchool told NBC News in a statement. “As is always the case with these situations, there was a risk that the bad actors would not delete the data they stole, despite assurances and evidence that were provided to us.”

A Notorious Deepfake Porn Site Shuts Down After Its Creator Is Outed

Since its creation in 2018, MrDeepFakes.com grew into perhaps the world’s most infamous repository of nonconsensual pornography created with AI mimicry tools. Now it’s offline after the site’s creator was identified as a Canadian pharmacist in an investigation by CBC, Bellingcat, and the Danish news outlets Politiken and Tjekdet. The site’s pseudonymous administrator, who went by DPFKS on its forums and created at least 150 of its porn videos himself, left a trail of clues in email addresses and passwords found on breached sites that eventually led to the Yelp and Airbnb accounts of Ontario pharmacist David Do. After reporters approached Do with evidence that he was DPFKS, MrDeepFakes.com went offline. “A critical service provider has terminated service permanently. Data loss has made it impossible to continue operation,” reads a message on its homepage. “We will not be relaunching.”

[globalindustrypulse]

The Latin America Enterprise Resource Planning (ERP) software market Size, Share | CAGR 7.6% During 2023-2030

Latin America is the fifth largest region in the Latin America Enterprise Resource Planning (ERP) software market share, witnessing growing demand for digital transformation across both public and private sectors. With increasing cloud adoption, compliance pressures, and demand for integrated business systems, the region presents significant untapped potential. The global ERP software market is projected to rise from USD 44.47 billion in 2022 to USD 71.34 billion by 2030, registering a CAGR of 7.6% during the forecast period.

Key Regional and Global Players:

• SAP SE • Oracle Corporation • Microsoft Corporation • IFS AB • Totvs (Brazil) • Odoo S.A. • Epicor Software Corporation • Sage Group plc • Workday, Inc. • Infor Inc.

Request for Free Sample Here:

Growth Drivers:

• Surge in cloud-based ERP deployments driven by cost-efficiency and scalability needs. • Expanding small and medium enterprise (SME) digital adoption in Brazil, Mexico, and Chile. • Rising need for centralized data governance and regulatory compliance reporting. • Post-pandemic restructuring driving demand for remote workforce ERP modules.

Key Opportunities:

• Increased implementation of industry-specific ERP in manufacturing, agriculture, and logistics. • Digital transformation funding from international development banks and regional governments. • Adoption of mobile ERP and AI-integrated solutions for real-time decision-making. • Growing fintech and e-commerce markets driving need for back-office automation tools.

Market Challenges:

High Costs & Complexity: Upfront expense and implementation barriers especially impact SMEs

Legacy Systems Resistance: Many businesses rely on outdated IT and face difficulty updating

Application Scope:

• Core Modules: Finance, HR, supply chain, CRM, procurement, and inventory. • Industry Use Cases: Manufacturing, retail, education, public sector, construction, healthcare. • Deployment Models: On-premise, cloud-based, and hybrid ERP systems. • End Users: SMEs, large enterprises, educational institutions, and government agencies.

Speak to Analyst: https://www.fortunebusinessinsights.com/enquiry/speak-to-analyst/latin-america-enterprise-resource-planning-erp-software-market-107425

Regional Trends:

• Rise of open-source and low-code ERP platforms. • Localization of ERP features to accommodate Latin American tax systems and compliance. • Integration of ERP with AI, IoT, and data analytics to enhance forecasting and automation. • Shift from legacy systems to agile, modular cloud ERP for flexibility and cost savings.

Recent Developments:

April 2023 – Oracle Cloud ERP adoption accelerated in Latin America, with new projects in Colombia and Brazil focused on financial planning, AI-driven insights, and sustainability tracking.

August 2022 – SAP launched new partnerships with regional consulting firms to expand S/4HANA implementation capabilities in Spanish-speaking markets.

About Us:

At Fortune Business Insights, we offer end-to-end research services with real-time intelligence on key markets. Our data-driven insights, customized consulting, and future-focused methodologies enable organizations to uncover opportunities and transform operations. Whether you're a global tech provider or a regional disruptor, we deliver the clarity you need to lead in dynamic industries.

Contact Us

 US: +1 833 909 2966  UK: +44 808 502 0280  APAC: +91 744 740 1245 Email: sales@fortunebusinessinsights.com

[cybersecurityict]

Artificial Intelligence Market gains unstoppable growth traction through 2032

The Artificial Intelligence Market was valued at USD 178.6 Billion in 2023 and is expected to reach USD 2465.8 Billion by 2032, growing at a CAGR of 33.89% from 2024-2032.

U.S. remains a dominant hub for AI innovation, investment, and adoption across both public and private sectors

Artificial Intelligence Market is experiencing exponential growth as enterprises integrate AI-driven solutions to boost operational efficiency, accelerate automation, and deliver smarter customer experiences. With applications spanning across healthcare, finance, automotive, retail, and manufacturing, AI is redefining how industries innovate, scale, and serve.

Artificial Intelligence Market continues to transform rapidly, fueled by advancements in machine learning, NLP, and computer vision technologies. Tech giants and startups alike are driving ecosystem-wide innovation, creating a competitive landscape filled with opportunities for next-gen solutions and strategic collaborations.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/2801 

Market Keyplayers:

Google (Alphabet Inc.) - Google AI

IBM - IBM Watson

Microsoft - Azure AI

Amazon Web Services (AWS) - AWS Deep Learning AMIs

NVIDIA Corporation - NVIDIA DGX Systems

Intel Corporation - Intel Nervana

Baidu, Inc. - Baidu AI

Salesforce - Salesforce Einstein

Apple Inc. - Siri

Tencent - Tencent AI Lab

SAP - SAP Leonardo

Adobe Inc. - Adobe Sensei

OpenAI - GPT-3

Market Analysis

The AI market is propelled by increasing data availability, improved algorithms, and rising demand for intelligent automation. Organizations are embedding AI into their workflows to drive accuracy, reduce costs, and uncover actionable insights. The market is also witnessing a surge in AI-as-a-Service (AIaaS) models, allowing scalable adoption for small to large enterprises.

Government initiatives, particularly in the U.S. and parts of Europe, are playing a pivotal role in advancing research, funding, and regulatory support. Meanwhile, ethical AI and data privacy remain key focus areas, shaping responsible innovation across industries.

Market Trends

Rapid deployment of AI in cybersecurity, fraud detection, and predictive maintenance

Growth in generative AI tools transforming content creation and software development

Expansion of edge AI for real-time processing in IoT devices

AI integration in customer service via chatbots and virtual assistants

Rise of explainable AI to increase transparency and trust

Development of industry-specific AI models for targeted applications

Increased collaboration between tech firms and academia to accelerate breakthroughs

Market Scope

The scope of the Artificial Intelligence Market is both broad and dynamic, reflecting AI’s role as a transformative engine across sectors. Businesses are not just exploring AI—they are embedding it as a core strategy.

AI in healthcare for diagnostics, drug discovery, and patient monitoring

Automation in finance for risk assessment and trading strategies

Smart manufacturing powered by AI-led robotics and supply chain optimization

Personalized marketing and consumer analytics in retail

AI-driven mobility and autonomy in automotive industries

Cloud-based AI platforms simplifying deployment for enterprises

Forecast Outlook

The future of the Artificial Intelligence Market is shaped by evolving technologies and increasing enterprise confidence in AI solutions. Continued investment, particularly in cloud infrastructure and open-source AI tools, is expected to democratize access and drive deeper market penetration. As organizations move beyond experimentation to full-scale implementation, AI is poised to become a foundational driver of digital transformation across the global economy.

Access Complete Report: https://www.snsinsider.com/reports/artificial-intelligence-market-2801 

Conclusion

Artificial Intelligence is no longer a futuristic concept—it’s the centerpiece of modern innovation. From revolutionizing diagnostics in Boston hospitals to powering autonomous systems in Berlin, the global momentum behind AI is undeniable. As businesses and governments align to shape an intelligent future, those investing in responsible, scalable, and human-centric AI will lead the next wave of transformation.

Related Reports:

U.S.A Eye Tracking Market set to revolutionize user experience with cutting-edge innovations

U.S.A witnesses rising demand for Endpoint Detection and Response (EDR) solutions amid growing cyber threats

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

Mail us: info@snsinsider.com

[bisresearch0]

Emerging Leaders in In Silico CRO Services: A Global Competitive Review

What is in silico CROs market?  

The in silico CROs (Contract Research Organizations) market refers to a segment of the pharmaceutical, biotech, and healthcare industries that provides computational and simulation-based services. These services include molecular modeling, virtual screening, bioinformatics, and pharmacokinetic studies to support drug discovery, development, and clinical trial

In silico contract research organizations (CROs) offer computational services like molecular modeling, virtual screening, bioinformatics, and pharmacokinetic analysis to support pharmaceutical, biotech, and healthcare sectors. Because they make it possible to design drugs that are specific to each patient's genetic profile, these CROs are essential to the advancement of personalized medicine. 

What is the market size of the in silico CROs market? 

The global in silico CROs market is expected to be worth $2.25 billion in 2022, and this value is expected to reach $12.88 billion in 2032, growing at a CAGR of 19.06%.

What are the market drivers of the in silico CROs market? 

Rising Incidence of Chronic Diseases: The global in silico CROs market is growing due to the rising prevalence of chronic diseases, with AI and computational tools being increasingly integrated to accelerate early diagnosis and assist physicians in providing accurate treatments. The massive amount of data produced by healthcare facilities and the pressing need to address the growing disease load are the main drivers of this development.

Growing Adoption of In Silico Platforms for Drug Discovery Applications: As computational tools are utilized more frequently for pharmacological hypothesis generation, structure-activity analysis, and pharmacokinetic studies, the market for in silico CROs is growing globally. This is because these tools improve drug discovery and development by identifying new compounds and optimizing target protein modulation.

What are the market restraints of the in silico CROs market? 

The global in silico CROs market faces key restraints, including a shortage of technical expertise, which hinders accurate data analysis and collaboration. Additionally, the lack of standardization in tools, algorithms, and data sources complicates result comparison and regulatory acceptance. Furthermore, complex regulatory guidelines and concerns over data privacy and security present significant barriers to the market's growth and adoption.

Who are the leading in silico CROs in 2025?

Take a Deep Dive: Access Our Sample Report to Understand How the market Drive In Silico CROs Competitive Landscape!

Learn more about Healthcare Vertical. Click Here! 

Conclusion

The global in silico CROs market is experiencing rapid growth, fueled by the increasing demand for efficient and cost-effective drug discovery and development processes. The COVID-19 pandemic has further accelerated the adoption of in silico tools as traditional drug development methods were disrupted. The growing need for patient-specific medications and personalized treatment is another factor propelling the market. Notwithstanding its quick growth, the business still confronts obstacles, such as the requirement for more precise models, particularly for complicated illnesses whose biology is not well known. Open-source software competition reduces profitability by lowering prices. Model accuracy and simulation capabilities have been improved by technological developments in artificial intelligence and machine learning, while the industry is significantly shaped by intellectual property rights and healthcare infrastructure in developing nations. The global market for in silico CROs is expected to increase further with ongoing research and innovation, providing a viable substitute for conventional drug development.

[fromdevcom]

In a world that depends more and more on data, organizations count on factual information to fine-tune their strategy, monitor the market, and safeguard their brands. This is particularly true when collecting data for market research, SEO tracking, and brand protection, which can get expensive. A cheap proxy allows companies to get around geo-restrictions, evade IP restrictions, and scrape data effectively without paying too much. Finding a balance between cost and performance is vital to helping organizations reduce expenses while maintaining productivity. Many businesses use digital tools and automated processes for data collection.  Therefore, many use proxies as a confidential solution to get information from various online sources without restriction. This guide outlines practical techniques for leveraging inexpensive data-collection methods without sacrificing performance. Understanding the True Cost of Data Collection Collecting data involves much more than simply gathering raw information. In addition to obvious expenditures, businesses often incur hidden costs with subscriptions, API access fees, or maintenance at the infrastructure level.  Without a reliable plan, out-of-control costs can mean that collecting in this way can be prohibitive for smaller businesses. In 2024, the average data breach cost skyrocketed to $4.88 million, marking a 10% rise from 2023, according to up-to-date statistics.  By focusing on cost-effective, secure, and reliable data collection methods, as highlighted by these figures, businesses can avoid these risks through good practices. Leveraging Free and Affordable Market Research Tools Investing in expensive software is unnecessary for market intelligence. Numerous tools available at little or no cost provide insights into customer behavior, industry trends, and competitor analysis. Using a combination of all these tools, most businesses can formulate a strong market research strategy without breaking the bank. The analytic tools used by search engines furnish trends of keywords on popular web pages and consumer search behavior, implying what’s in demand. In addition, government reports and industry surveys constitute some of the public data sources that provide factual information with no additional costs. Platforms that deal in open-source data also supply crucial perspectives that would otherwise be behind paid subscriptions. Using Cheap Proxy Services for Efficient Web Scraping Web scraping is an important aspect of contemporary data collection, enabling organizations to automate their data extraction from multiple websites. However, there are obstacles to these initiatives: IP bans, geo-blocking, etc.  A cheap proxy is an affordable answer to these issues, allowing businesses to scrape data at a large scale without being blocked. Proxies help distribute data requests across multiple IPs so that servers cannot deny access due to high request volumes.  It is especially useful for e-commerce companies tracking competitor pricing information, digital marketers trying to understand consumer activity, and cybersecurity teams monitoring potential threats. Cost-Effective SEO Tracking Strategies Search engine rankings highly affect brand visibility and online traffic. Sadly, SEO tracking tools come at a price and can become quite expensive for businesses with multiple campaigns they oversee. Using affordable SEO tracking solutions allows businesses to keep track of their progress without breaking the bank. The basics of keyword tracking and competitor analysis are well-known among SEO experts. Companies that combine these low-cost keyword-tracking software solutions with free webmaster tools can keep an effective check on their search rankings without breaking the bank. A cheap proxy can also help with SEO tracking, as these can be used to check search results from various locations without bias. This is vital for businesses pursuing a global audience or location-based search trends.

Affordable Brand Protection and Competitor Monitoring A brand reputation is one of the most coveted assets in the business world. However, significant costs can be associated with protecting a brand from infringement, counterfeiting, and unauthorized use.  Brand protection solutions on a budget or how to protect your brand without breaking the bank. One practical step would be to automate alerts for digital brand mentions.  Businesses can monitor violations of their brand name with free tools like search engine alerts and social media monitoring software. Moreover, by using proxies to scale web scraping, they can gather information about their competitors and check for fraudulent activity, such as fake websites trying to impersonate them. Key Metrics to Measure Cost-Effectiveness Purchasing data-collection devices and software benefits firms only if they monitor their return on investment. Setting key performance indicators is important to ensure organizations measure the efficiency and effectiveness of their data collection strategies. One key metric is data accuracy. Bad data translates into bad decisions, which is not a costless process. Inaccurate data costs the U.S. economy around $3.1 trillion yearly, demonstrating a clear incentive for reliable data-gathering methods. Organizations would need to audit their data sources and validate their data regularly. Strategic Investments for Sustainable Data Gathering Collecting data cheaply should not be synonymous with a reduction in quality or performance. With tools available at low costs, automated processes, and advanced solutions like proxies, businesses can collect quality data without incurring heavy costs.  With the help of smart strategies, organizations can balance their resources while preparing to get ahead in a competitive market. As the need for data-driven decision-making rises, companies must become more sustainable and efficient in their data collection processes. Balancing the benefits of affordability and performance assures financial stability and sustainability. 

[fraoula1]

𝐓𝐡𝐞 𝐄𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐨𝐟 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬

As technology advances at breakneck speed, AI agents are transforming the way we engage with digital tools. These intelligent entities are evolving from experimental projects into essential assets across various sectors. The growth trajectory of AI agents mirrors the rise of mobile apps in the early 2000s. In this discussion, we will explore how AI agents are becoming the next generation of applications.

Understanding AI Agents

AI agents are software programs that can perform tasks autonomously or with minimal human input. Unlike traditional applications, which depend heavily on user interaction, AI agents utilize machine learning, natural language processing, and data analytics to operate independently.

For example, consider a customer support AI agent. It can analyze customer queries, provide immediate responses, and learn from past interactions to improve future engagement. A study by IBM found that using AI in customer service can lead to a decrease in response time by up to 70%, enhancing customer satisfaction.

Businesses are increasingly recognizing the potential of these technologies. AI agents now play crucial roles in areas like customer service, data analysis, and personal assistance. Their ability to learn and adapt allows them to be more flexible and efficient than conventional tools.

With organizations investing billions in AI research and development, the capabilities of these agents expand rapidly. They can now process complex language and integrate seamlessly with existing systems, making them invaluable for productivity enhancement.

The Journey of AI Agents Compared to Mobile Apps

Exploring the evolution of AI agents is best understood through a comparison with mobile apps. When mobile apps emerged in the early 2000s, developers faced hurdles like limited capabilities and fragmented ecosystems. However, the introduction of smartphones and app stores soon revolutionized the landscape, leading to a flourishing of powerful business tools.

Similarly, the genesis of AI agents was often limited to niche applications. Early versions, like rudimentary chatbots, struggled to keep users engaged due to their simplistic responses and lack of intelligence.

The Transformation Begins

The turning point for mobile apps was the iPhone's launch in 2007, alongside the development of the App Store. This revolutionized innovation, enabling creators to build apps that could reach millions. Today, we see applications that cater to diverse needs, from fitness tracking to mobile banking.

In the realm of AI agents, we are at a similar juncture. Numerous startups and open-source initiatives are pushing the limits of what these agents can achieve. A notable example is the surge in AI-powered customer service solutions, with over 60% of companies adopting them in some capacity.

Noteworthy Examples of AI Agents in Development

The vibrant landscape of AI agents showcases several noteworthy projects, each with unique capabilities.

OpenAI's ChatGPT

OpenAI's ChatGPT is a standout example. This AI agent generates human-like text responses, making it ideal for customer support, content creation, and storytelling. The versatility of ChatGPT is evident in its application across sectors, with reports indicating that businesses using AI for customer interactions see up to a 40% improvement in engagement rates.

Replika: The AI Companion

Replika is an AI chatbot designed for companionship and emotional support. Users engage with it for conversations and personal growth. The AI learns from interactions, adapting to user preferences over time. This kind of personalized engagement highlights how AI agents can evolve from basic tools into meaningful companions.

Clara Labs: AI-Powered Personal Assistant

Clara Labs exemplifies how AI can enhance productivity. This service automates scheduling and administrative tasks, allowing users to interact via simple requests. By combining machine learning with human oversight, Clara handles complex tasks seamlessly, freeing users to focus on more strategic goals.

The Challenges Ahead

Despite the promising journey, AI agents encounter challenges that could impact their widespread adoption.

Data Privacy and Ethics

Data privacy poses a significant concern. AI agents often collect and analyze large amounts of personal information. Organizations must ensure compliance with regulations like GDPR and maintain high ethical standards to protect users' rights.

Quality of Engagement

Another challenge is delivering a satisfactory user experience. Early AI applications often struggled with context and nuance, leading to frustrating exchanges. Continuous advancements in natural language processing are essential for enhancing AI capabilities and meeting user expectations.

The Future of AI Agents

What lies ahead for AI agents? With technological advancements and growing market demand, it is clear these agents will become more integrated into our daily lives.

Growth in Industries

Just as mobile apps permeated various sectors, AI agents are set to explore numerous industries, such as healthcare. Reports estimate that AI could reduce healthcare costs by 30% by enabling personalized diagnostics and patient communication.

Integration with IoT

As AI agents integrate with Internet of Things (IoT) devices, new opportunities for automation will arise. Imagine a smart home where AI manages everything from scheduling activities to enhancing security. This level of automation could become a daily reality, making life easier and more efficient.

Getting Started with AI Agents: Practical Considerations

For businesses looking to adopt AI agents, several practical considerations can help guide the process.

Begin with Understanding Your Needs

Start by identifying specific needs within your organization. Consider areas where automation could streamline processes. For example, enhancing customer service, optimizing workflows, or gathering data for analysis are all viable applications. Knowing what you want to achieve will help you select the right tools.

Evaluate Platform Options

Once your focus is clear, explore various platforms for AI development. Open-source frameworks like Rasa and Google Dialogflow offer excellent starting points and allow for experimentation with limited costs.

Engage in Continuous Improvement

Remember that development is just the beginning. To maintain an effective AI agent, establish a regular monitoring system. Gather feedback to refine its capabilities, using analytics to track user interactions and identify areas for growth. Continuous improvement ensures your AI agent remains a valuable resource.

Embracing the Future of AI Agents

The evolution of AI agents is in its infancy, with the potential to reshape our digital interactions profoundly. By reflecting on the parallels with mobile apps, it is evident that AI agents will emerge not just as tools but as integral parts of our daily lives.

By understanding their capabilities and addressing challenges, businesses can position themselves at the forefront of this technological wave. The rise of AI agents signifies a groundbreaking era where technology and human interaction will grow increasingly intertwined, unlocking a future filled with possibilities. Embracing this evolution will be key for organizations aiming to remain relevant and innovative in a fast-changing world.

[xaltius]

Decoding Threat Intelligence: Your Beginner's Guide to Staying Cyber-Safe

In today's digital world, the term "cybersecurity" is thrown around constantly. We hear about data breaches, ransomware attacks, and sophisticated hackers. But amidst this noise, a crucial concept often gets overlooked by everyday internet users: Threat Intelligence.

Think of threat intelligence as the detective work of the cybersecurity world. It's not just about reacting to attacks; it's about understanding the "who, what, when, where, and why" behind potential threats to proactively protect yourself and your digital life.

For beginners, the term might sound intimidating, but the core idea is surprisingly accessible. Let's break down what threat intelligence is and how understanding it can help you stay cyber-safe.

What Exactly IS Threat Intelligence?

At its heart, threat intelligence is information about existing or emerging threats to your digital security. It goes beyond simple alerts and provides context, helping you understand:

Who are the attackers? Are they individual hackers, organized crime groups, or state-sponsored actors? Knowing their motivations and typical tactics can help you anticipate their moves.

What are their targets and methods? Are they after your personal data, financial information, or trying to disrupt online services you use? Understanding their techniques (like phishing emails, malware, or social engineering) helps you spot them.

When and where are attacks likely to occur? Are there specific times of year, events, or platforms that are more vulnerable? This awareness can help you be extra vigilant.

Why are they attacking? What are their goals? Financial gain, political disruption, or simply causing chaos? Understanding the motivation helps you prioritize your defenses.

Why Should You, as an Everyday User, Care About Threat Intelligence?

You might be thinking, "I'm just browsing the internet and checking emails. Why do I need to know about threat intelligence?" Here's why it matters for your personal cyber safety:

Staying Ahead of Scams: Threat intelligence helps identify emerging phishing trends, new malware strains targeting individuals, and social engineering tactics designed to trick you. This knowledge empowers you to recognize and avoid these scams before they can harm you.

Understanding Vulnerabilities: By understanding the types of vulnerabilities that are being actively exploited, you can prioritize updating your software, operating systems, and apps, patching those security holes before attackers can exploit them.

Making Informed Security Decisions: Threat intelligence provides the context you need to make smarter choices about your online behavior, such as being more cautious about clicking suspicious links or sharing personal information on unfamiliar websites.

Recognizing Sophisticated Attacks: As threats become more advanced, understanding the tactics used by sophisticated attackers (like spear phishing or watering hole attacks) can help you identify and report suspicious activity that might otherwise seem legitimate.

Protecting Your Loved Ones: By understanding the common threats, you can also educate your family and friends, especially those who might be less tech-savvy, on how to stay safe online.

Where Does This "Intelligence" Come From?

While you don't need to become a threat intelligence analyst yourself, it's helpful to understand where this information originates:

Security Researchers: These experts constantly analyze malware, track hacker groups, and identify new vulnerabilities.

Cybersecurity Companies: Companies specializing in cybersecurity collect and analyze threat data from various sources to provide insights and solutions.

Government Agencies: Law enforcement and intelligence agencies monitor cyber threats and share relevant information.

Open-Source Communities: Security enthusiasts and researchers share their findings and analysis publicly.

How Can You Benefit from Threat Intelligence (Without Being an Expert)?

The good news is that you don't need to be a cybersecurity expert to benefit from threat intelligence. Here are some practical ways:

Stay Informed Through Reputable Sources: Follow cybersecurity news outlets, reputable tech blogs, and official security advisories from software vendors. They often report on emerging threats and provide actionable advice.

Pay Attention to Security Warnings: Heed warnings from your antivirus software, web browsers, and operating systems. They are often based on threat intelligence.

Be Skeptical of the Unexpected: If something seems too good to be true or creates a sense of urgency, it's likely a scam. Threat intelligence often highlights these common tactics.

Keep Your Software Updated: Software updates frequently include patches for known vulnerabilities that threat intelligence has identified as being exploited.

Educate Yourself on Common Attack Vectors: Understand how phishing emails, malware, and social engineering work. This knowledge is a form of personal threat intelligence.

The Bottom Line:

Threat intelligence might sound complex, but at its core, it's about understanding the enemy and their tactics to better defend yourself. By staying informed, being cautious, and adopting good security habits, you're essentially leveraging the collective knowledge of the cybersecurity world to stay one step ahead of potential threats. It's about being a smart and informed digital citizen in an increasingly complex online landscape. Stay vigilant, stay informed, and stay cyber-safe!

[mariacallous]

Last week marked the second anniversary of Russia’s full-scale invasion of Ukraine, a conflict that has been marked by multiple reports that Russia may have committed war crimes by indiscriminately targeting civilians and civilian infrastructure. During the first winter of the conflict, Russia pursued a strategy that US secretary of state Antony Blinken described as trying to “freeze [Ukraine] into submission” by attacking its power infrastructure, shutting citizens off from heat and electricity.

Now, using satellite imagery and open source information, a new report from the Conflict Observatory, a US-government-backed initiative between Yale University’s Humanitarian Research Lab, the Smithsonian Cultural Rescue Initiative, PlanetScape AI, and the mapping software Esri, offers a clearer picture of the scale of this strategy. Between October 1, 2022, and April 30, 2023, researchers found more than 200 instances of damage to the country’s power infrastructure, amounting to more than $8 billion in estimated destruction. Of the 223 instances identified in the report, researchers were able to confirm 66 of them with high confidence, meaning they were able to cross-reference the damage across multiple trustworthy sources and data points.

“What we see here is that there was a pattern of bombardment that hit front lines and non-frontline areas, at a scale that must have had civilian effect,” says Nathaniel Raymond, a coleader of the Humanitarian Research Lab and lecturer at Yale’s Jackson School of Global Affairs. The UN Office for the Coordination of Humanitarian Affairs estimated at the time that attacks on Ukraine’s power grid had left “millions” of people without electricity throughout the country.

Researchers found and were able to identify and verify damage to power infrastructure in 17 of the country’s 24 oblasts, or administrative units.

Documenting specific instances of damage to power infrastructure has been particularly difficult for researchers and investigators, because the Ukrainian government has sought to limit public information about which sites have been damaged and which continue to be operational in an effort to prevent further attacks. (For this reason, the report itself avoids getting too specific about which locations it analyzed and the extent of the destruction.) But this can also make it difficult to collect, verify, and build upon the data necessary to prove violations of international law.

By making its methodology public, Raymond hopes that it will make further investigation possible. “Having common standards to a common dataset is a prerequisite for accountability,” he says.

International humanitarian law prohibits attacks on civilians or civilian infrastructure, like schools or hospitals. But Oona Hathaway, professor of international law at Yale University, says that power stations and infrastructure can present a trickier question, because it’s often difficult, if not impossible, to tell whether power is being distributed to the military or civilians (oftentimes it’s both). This can sometimes make targeting power infrastructure legitimate, says Hathaway, but combatants need to consider how something like a sustained power outage or an explosion at a power plant could impact civilians. Unleashing “dangerous forces” by, say, bombing or opening a dam could also be a war crime.

“That is a clear violation, even if part of its infrastructure might be supporting both civilian and military purposes,” says Hathaway.

Russia has not only sought to damage Ukraine’s power infrastructure through physical attacks. In October 2022, during the same time period covered by the report, hackers from Russia’s GRU military intelligence unit known as Sandworm plunged an unknown number of Ukrainian civilians into a blackout during a missile strike. It is the third time Sandworm has caused a blackout in Ukraine with a cyberattack since 2015.

While some of the attacks documented by the Conflict Observatory did indeed occur near the front lines, Raymond says that researchers found strikes as far away from the battlefield as the country’s westernmost city, Lviv. Of the strikes that Raymond and his team identified, 128 occurred in places that were not part of the conflict’s front lines at the times when they were attacked.

The report “indicates the attacks were deliberate and disproportionately harmed civilian populations, which, if true, would violate international humanitarian law and the laws of armed conflict,” says US state department spokesperson Russell Brooks. “Many of the affected areas are remote from the front lines of the war, calling into question whether the attacks served any justifiable military objective.”

Some Russian officials have claimed that Ukrainian infrastructure is a legitimate target. In December 2022, Russia’s foreign minister, Sergey Lavrov, asserted that by attacking the country’s energy grid it was making it harder for Ukraine to access weapons provided by Western countries. In other instances, Russian officials indicated that its attacks on the country’s electricity supply were “strikes of retribution,” according to Russian politician Boris Chernyshov.

“The justifications that Russian officials provided varied from arguments that they were legitimate military objectives to statements that pointed more toward civilian harm and general retaliation not grounded in a concrete and direct military objective,” says Raymond. “It was important to capture this, because it can be indicative of intent, even though the statements alone are not in themselves indicative of an international legal violation.”

Hathway notes that several of the statements seem to indicate that Russia was intentionally targeting civilians as a way to pressure the Ukrainian government into conceding the conflict. “I think a lot of the comments are indicative of this unlawful purpose that Russia and certain Russian leaders and military officials may have had in the carrying out of these attacks,” she says.

Hathaway adds that while the report’s findings are not themselves evidence of war crimes, they provide a strong foundation for bodies like the Independent International Commission of Inquiry on Ukraine, whose work is still ongoing. “I would say it is kind of a roadmap for prosecutors.”

[karangupta0041]

Decoding Success: How Bangalore’s Businesses Are Using SEO to Scale Faster 

Today’s digital-first business landscape demands more than just a great product or service—it requires sharp visibility. For businesses in Bangalore, Google wins the brand presence battle. Whether it’s a booming SaaS startup in HSR Layout or a creative agency in Indiranagar, SEO is becoming the most effective driver of long-term, scalable growth. 

Working with a data-driven SEO Agency in Bangalore is no longer optional—it’s a smart necessity. 

Why SEO is the Backbone of Digital Growth 

Unlike paid advertising, which stops when your budget runs out, SEO drives value over time. It improves organic visibility, establishes authority, and pulls in users already searching for your offer. SEO acts as a constant lead generator in an environment like Bangalore—where tech-savvy audiences do their research before engaging. 

Here’s why businesses trust a top SEO Company in Bangalore: 

Sustainable traffic and lead generation 

Better brand awareness through top rankings 

Trust built through content and authority signals 

Higher ROI than traditional and paid media 

The SEO Process—Simplified 

A structured SEO Service in Bangalore follows a step-by-step approach to move the needle where it matters: 

Technical Audit: Review your website structure, performance, and crawlability. 

Keyword Research: Find out what your target audience is searching for. 

On-Page Optimization: Improve meta titles, headers, URLs, and internal linking. 

Content Strategy: Create blogs, landing pages, and service pages that answer user intent. 

Off-Page SEO: Build quality backlinks from trusted sources. 

Analytics & Reporting: Measure traffic, rankings, leads, and conversion data. 

This process ensures that your growth isn’t based on guesswork but on data-backed execution. 

Local SEO: Bangalore’s Untapped Goldmine 

Many businesses focus on broad terms, but local keywords prepare buyers to act. Searches like "best digital marketing agency in Koramangala" or "top cafes in Indiranagar" have a high intent behind them. 

Working with an experienced SEO expert in Bangalore ensures: 

Local landing pages for specific areas 

Geo-optimized GMB listings 

Localized backlink building 

Local citations and review management 

This hyper-local focus helps your brand rank higher where it truly matters—within your service zone. 

SEO Strategies That Are Working Right Now 

To win the SEO game in Bangalore in 2025, your agency should implement: 

Search Intent Clustering: Organizing keywords by awareness, consideration, and decision stages. 

Voice Search Optimization: Crafting answers to long-tail, conversational queries. 

Mobile-First Design: Ensure the website is fast, mobile-friendly, and intuitive. 

AI-Powered Content Tools: Using intelligent tools to analyze and improve content for search. 

Topic Authority Building: Publishing a pillar and cluster content mix to dominate a niche. 

These aren’t just buzzwords. They’re real strategies that Google rewards. 

Industries Benefiting the Most in Bangalore 

Some businesses in Bangalore are seeing exponential growth by aligning their digital strategies with SEO. Top sectors include: 

IT & Software: Compete for global keywords and talent acquisition 

Real Estate: Target location-specific property search terms 

Healthcare: Build trust and get appointment bookings 

Education: Drive course registrations and inquiries 

Retail & E-commerce: Improve product visibility and increase conversions 

If your competitors are doing SEO and you aren’t—you’re already behind. 

Signs You’ve Found the Right SEO Partner 

Here’s what sets apart the best SEO Service in Bangalore: 

Tailored strategy: Built around your goals, not a one-size-fits-all template 

Transparency: Open communication, detailed reporting, and no black-box tactics 

Continuous learning: Up to date with Google’s frequent algorithm changes 

Real results: Rankings are great—but conversions are better 

The best agencies become an extension of your marketing team. 

Real-Life Growth with SEO 

Let’s look at a recent success story: 

A Bangalore-based legal firm partnered with a trusted SEO Company in Bangalore to increase visibility for high-intent keywords like “property lawyer in Bangalore” and “contract lawyer MG Road.” Within 6 months: 

Organic traffic grew by 210% 

Monthly consultation requests increased by 3.5x 

Bounce rate dropped by 28% 

Another example? A niche e-commerce brand offering handmade décor scaled from 5 weekly orders to over 50 by optimizing product listings, earning local backlinks, and publishing SEO blogs. 

SEO is the Smart Investment for Smart Businesses 

SEO isn’t just about Google. It’s about building a digital foundation that keeps paying dividends. With the right strategy, SEO: 

Future-proofs your digital marketing 

Builds brand authority 

Converts passive visitors into active customers 

In Bangalore, where the competition is always one step ahead, smart businesses can’t afford to rely on outdated tactics. 

Success online is no longer optional—it’s essential. As more businesses turn to search for growth, SEO has become the most valuable marketing asset. 

If you’re ready to push your brand and tap into the full power of organic search, Savit Interactive, a results-focused SEO Agency in Bangalore, delivers customized strategies that turn clicks into clients. With deep local expertise and a proven track record, they help brands confidently scale. 

[industryhub]

The Importance of Faculty in Choosing the Best CS Engineering College in Bhopal

As a Computer Science Engineering professor in Bhopal, I have seen how faculty plays a crucial role in shaping the careers of aspiring engineers. When choosing the best CS engineering college in Bhopal, students often focus on infrastructure, placements, and rankings. While these aspects matter, the quality of faculty is the single most important factor that determines the learning experience and future opportunities.

In this blog, I will discuss why faculty expertise, experience, and teaching methodology should be the top priority when selecting a computer science engineering college in Bhopal and how it impacts students' careers.

Why Faculty Matters in Computer Science Engineering?

Computer Science Engineering (CSE) is a fast-evolving discipline with advancements in Artificial Intelligence (AI), Data Science, Cybersecurity, and Blockchain. Unlike other engineering fields, CSE requires continuous updates in curriculum and practical learning. This is where experienced and industry-aligned faculty members make a difference.

1. Experienced Faculty Ensures Industry-Relevant Learning

The best Computer Science engineering college in Bhopal hire faculty with strong academic backgrounds, research experience, and industry exposure. A professor who has worked on real-world projects, consulted for IT companies, or contributed to research publications can provide insights beyond textbooks.

For instance, at Rabindranath Tagore University (RNTU) Bhopal, faculty members integrate practical coding sessions, hackathons, and live projects into the curriculum, ensuring students gain hands-on experience.

2. Mentorship That Shapes Future Careers

Faculty members are not just teachers; they are mentors who guide students in academics, research, and career choices. Strong faculty-student interactions lead to better learning outcomes, helping students choose the right specialization, participate in coding competitions, research projects, and internships.

Studies indicate that colleges with active faculty mentorship report higher student success rates in securing internships and placements.

3. Faculty with Research Expertise Opens Global Opportunities

A good faculty team is always engaged in research, publishing papers in reputed journals, and working on funded projects. Research-oriented faculty encourages students to participate in:

AI and ML projects

Cybersecurity challenges

Software development competitions

Open-source coding projects

For example, faculty at top CS engineering colleges in Bhopal such as RNTU Bhopal actively contribute to emerging technologies and collaborations with IT firms, giving students exposure to global trends. (Source)

4. Placement Success Tied to Faculty Expertise

Colleges with industry-experienced faculty members often have better placement records because they teach practical skills that companies demand. Recruiters from TCS, Infosys, Wipro, and Accenture prefer hiring from colleges where students have:

✔ Strong coding skills in Python, Java, C++ ✔ Experience with AI, Cloud Computing, and Data Science ✔ Project-based learning under expert mentorship

At RNTU Bhopal, placement training programs led by experienced faculty ensure students receive career guidance, resume-building support, and interview coaching.

How to Identify a College with the Best Faculty in Bhopal?

If you are evaluating a CS engineering college in Bhopal, here are some key factors to check:

1. Faculty Profiles & Qualifications

Do professors hold Ph.D. or M.Tech degrees from reputed institutions?

Are they engaged in research, patents, or industry consulting?

Do they have LinkedIn profiles or Google Scholar citations?

2. Industry Experience & Certifications

Do they have prior work experience with top IT firms?

Are they certified in AWS, Google Cloud, or Cisco Networking?

Have they contributed to open-source projects or software development?

3. Student Reviews & Alumni Feedback

Speak to current students and alumni about faculty support.

Check online college reviews and testimonials.

Look for colleges where faculty actively mentor students for competitions and research.

4. Teaching Methodology & Lab Facilities

Do they integrate real-world coding projects in the curriculum?

Are faculty members involved in tech events, hackathons, and coding bootcamps?

Are computer labs equipped with latest software and hardware?

Best CS Engineering College in Bhopal with Top-Notch Faculty

When looking for the best computer science engineering college in Bhopal, Rabindranath Tagore University (RNTU) stands out for its expert faculty, research-driven curriculum, and industry-aligned teaching methods.

Why Choose RNTU Bhopal?

✔ Highly qualified faculty with Ph.D.s & industry experience ✔ Active mentorship in AI, Data Science, and Cybersecurity projects ✔ Collaboration with IT companies for hands-on training ✔ State-of-the-art computer labs & research facilities ✔ Proven track record of placements with top tech firms

With a faculty team dedicated to student success, RNTU Bhopal ensures that aspiring engineers receive the best academic and practical training for a bright future in software development, AI, and emerging technologies.

Conclusion: Make Faculty Your Top Priority!

Choosing the best CS engineering college in Bhopal is not just about infrastructure or rankings. The faculty defines the learning experience, research exposure, and career growth opportunities.

If you want to study at a college where experienced professors, innovative teaching, and strong placements come together, then Rabindranath Tagore University (RNTU) is your best choice.

Ready to take the next step? Visit RNTU Bhopal and explore our world-class faculty & learning environment today!

[ushamartinuniversity]

B.L.I.S Admission 2025 Open- Course Details, Fees & Career Opportunities

About Library Information Science B.L.I.S.  Course:

Students interested in library management, information science, digital archiving, and knowledge organization can enroll in the one-year undergraduate Bachelor of Library and Information Science (B.L.I.S.) program. Students who complete the course will have the abilities needed to efficiently manage and arrange information in corporate settings, research institutes, libraries, and archives. Typically lasting one year (two semesters), the B.L.I.S. degree aims to give students an education in research methodology, digital archiving, library management, and information technology.

Eligibility Criteria B.L.I.S. Admission 

A bachelor’s degree in any field from an accredited university with at least 50% of the possible points (may differ by institution) is a prerequisite.

No particular subject background is necessary for admission; however, certain colleges may demand an entrance exam or interview.

Core Subjects in B.L.I.S. Course 

The Function of Libraries in Society o Public, Academic, and Special Library Types o Library Law and Associations

Theory and Practice of Library Cataloging: The Goals and Uses of Cataloging o Classified and Dictionary Catalog Types o Standards: AACR-II, MARC, RDA.

Information Sources and Services o Print and Digital Resources o Reference and Referral Services o Bibliographic and Current Awareness Services o Types of Information Sources (Primary, Secondary, Tertiary)

 Library Information Technology o Computer and Networking Fundamentals o Library Automation Software ,Digital Libraries

Library Science Research Methods o Fundamentals of Research and Report Writing o Data Gathering and Analysis o Citation Styles (APA, MLA, Chicago)

 Digital Libraries and Knowledge Management o Overview of Digital Libraries o Open Access Programs (DOAJ, OAI-PMH) o Preservation of Digital Content and Copyright Concerns

 Automation and Networking in Libraries o Software for Library Management (ILS, OPAC) o RFID and Barcode Technology in Libraries o Networks for Libraries (INFLIBNET, DELNET).

Project work and internships; practical instruction in a library or information center; library science dissertations or case studies

Classification of Libraries (Theory & Practice):  Fundamental Ideas of Library Classification o Categories (Universal Decimal Classification, Dewey Decimal Classification) o Labeling, Indexing, and Filing

Additionally, students can also learn about E-Resource Management (E-books, E-journals, Digital Repositories),Artificial Intelligence in Library Science ,Big Data & Analytics in Information Science ,Patent Information System & Intellectual Property Rights (IPR)

Skill Development in B.L.I.S. Course –

By the end of the program, students gain expertise in:

Library classification & cataloging

Digital library management

Use of library automation tools

Archival and preservation techniques

Data organization & retrieval

Course Details Subjects Covered in B.L.I.S. as a Library Science Degree Course –

Library Classification and Cataloging

Information Sources and Services

Digital Libraries & Information Technology

Research Methods in Library Science

Knowledge Organization and Information Retrieval

Library Automation and Networking

Career Opportunities After B.L.I.S. Course –

Graduates can work in various roles such as:

Librarian (Schools, Colleges, Universities)

Archivist (Museums, Research Institutions)

Information Officer (Government & Corporate Organizations)

Digital Librarian (Online Libraries, IT Companies)

Cataloger / Indexer (Publishing Houses, Media Companies)

Library Assistant (Public & Private Libraries)

Importance of B.L.I.S Programmes:

The Bachelor of Library and Information Science (B.L.I.S.) is a specialized degree that prepares students for careers in library management, information organization, and digital archiving. The study of B.L.I.S. is important for several reasons:

Career Opportunities in the Information Sector

B.L.I.S. graduates can work as librarians, archivists, information officers, and digital curators in public libraries, academic institutions, research centers, corporate organizations, and government agencies.

The rise of digital libraries and data management has increased the demand for information professionals.

Enhancing Information Management Skills

The program teaches cataloging, classification, indexing, and documentation, which are essential skills for organizing and retrieving information efficiently.

Students also learn about digital libraries, database management, and emerging technologies in the field.

Role in Education and Research

Librarians play a crucial role in helping students, researchers, and professionals access accurate and reliable information.

B.L.I.S. graduates support academic research, digital archiving, and preservation of knowledge.

Digital Transformation and IT Integration

With the advancement of technology, library science now includes digital resource management, e-learning platforms, and knowledge organization.

Courses in information technology, artificial intelligence, and big data help students stay relevant in the digital age.

Contribution to Society and Literacy

Librarians and information professionals help promote literacy, reading culture, and lifelong learning.

They assist in making information accessible to all, including marginalized communities.

Opportunities for Further Studies and Specialization

Graduates can pursue higher education such as Master of Library and Information Science (M.L.I.S.), Ph.D., or certifications in digital librarianship, data science, and knowledge management.

Job Security and Growth

Information professionals are essential in all industries, making library science a stable career choice.

With the digitalization of records and increased demand for information organization, career growth in this field is promising.

Studying B.L.I.S. is valuable for those interested in information management, library services, and digital archiving. The degree not only provides diverse career opportunities but also plays a crucial role in knowledge dissemination, education, and research in the modern world..

Why Choose UMU for B.L.I.S. in India?

✔️ Growing demand for library professionals in digital and corporate sectors ✔️ Flexible learning options (Regular & Distance Mode) ✔️ Opportunities in both government and private sectors ✔️ Further studies available (M.L.I.S., Ph.D. in Library Science)

Usha Martin University invites applications for its BLIS Admission 2025 (Bachelor of Library and Information Science) program for the 2025 academic session. This program is designed for aspiring library professionals, equipping them with expertise in information management, digital archiving, research methodologies, and library automation systems. Graduates can pursue careers in academic libraries, research institutions, digital libraries, and corporate information centers.

Take the first step towards a promising career in Library and Information Science. Apply now!

[bisresearch0]

In Silico CROs Competitive Landscape | BIS Research

In silico contract research organizations (CROs) offer computational services like molecular modeling, virtual screening, bioinformatics, and pharmacokinetic analysis to support pharmaceutical, biotech, and healthcare sectors. Because they make it possible to design drugs that are specific to each patient's genetic profile, these CROs are essential to the advancement of personalized medicine. In silico tools improve drug discovery and development by utilizing technologies including molecular dynamics simulations, machine learning, and artificial intelligence (AI). While AI systems adaptively evaluate enormous amounts of data to predict biological interactions and medication toxicity, machine learning algorithms find patterns and forecast outcomes from large datasets. On the other hand, molecular dynamics simulations provide in-depth understanding of molecular activity, aiding in the development of safer and more efficient treatments.

The global in silico CROs market is expected to be worth $2.25 billion in 2022, and this value is expected to reach $12.88 billion in 2032, growing at a CAGR of 19.06%.

Market Drivers

Rising Incidence of Chronic Diseases: The global in silico CROs market is growing due to the rising prevalence of chronic diseases, with AI and computational tools being increasingly integrated to accelerate early diagnosis and assist physicians in providing accurate treatments. The massive amount of data produced by healthcare facilities and the pressing need to address the growing disease load are the main drivers of this development.

Growing Adoption of In Silico Platforms for Drug Discovery Applications: As computational tools are utilized more frequently for pharmacological hypothesis generation, structure-activity analysis, and pharmacokinetic studies, the market for in silico CROs is growing globally. This is because these tools improve drug discovery and development by identifying new compounds and optimizing target protein modulation.

Who are the leading in silico CROs in 2025?

Take a Deep Dive: Access Our Sample Report to Understand How the market Drive In Silico CROs Competitive Landscape!

Learn more about Healthcare Vertical. Click Here! 

Conclusion

The global in silico CROs market is experiencing rapid growth, fueled by the increasing demand for efficient and cost-effective drug discovery and development processes. The COVID-19 pandemic has further accelerated the adoption of in silico tools as traditional drug development methods were disrupted. The growing need for patient-specific medications and personalized treatment is another factor propelling the market. Notwithstanding its quick growth, the business still confronts obstacles, such as the requirement for more precise models, particularly for complicated illnesses whose biology is not well known. Open-source software competition reduces profitability by lowering prices. Model accuracy and simulation capabilities have been improved by technological developments in artificial intelligence and machine learning, while the industry is significantly shaped by intellectual property rights and healthcare infrastructure in developing nations. The global market for in silico CROs is expected to increase further with ongoing research and innovation, providing a viable substitute for conventional drug development.

[chloedecker0]

Top AI Governance Platforms for 2024: Ethical and Responsible AI for Your Business

AI governance tools are software or platforms that help organizations manage and regulate the development, deployment, and use of artificial intelligence (AI) systems. By supporting disciplined AI governance, these tools provide features and functionalities that help organizations implement ethical and responsible AI practices – and create competitive advantage.

We analyzed the best AI governance platform for different teams and organizations, which help you determine the best platform for your business.

Download the sample report of Market Share: https://qksgroup.com/download-sample-form/market-share-ai-governance-platforms-2023-worldwide-6040 

What is AI governance?

The legal framework required for artificial intelligence (AI) and machine learning (ML) technologies to be researched and developed in a way that supports organizations’ global adoption of such systems morally and responsibly is known as artificial intelligence governance. Therefore, bridging the ethical and accountability gaps in AI development and use is the aim of the AI governance framework.

Growing concern over the development of Artificial Intelligence (AI) has led to increased adoption of AI governance frameworks.

Top AI Governance Platforms

Ataccama One

As its name suggests, Ataccama One unifies data governance, quality, MDM, and other services into a single platform, aiming to be a one-stop shop for all an organization’s data management and governance needs. The AI-driven software is intended for usage by data professionals, such as data governance teams, data stewards, data scientists, other data analysts, and data engineers. It operates in on-premises, cloud, and hybrid settings.

Using a data catalog, data integration tools, reference data management, data observability, and a data narrative module, Ataccama One helps enterprises integrate their efforts in data quality and MDM. With features like role-based security and complete audit history, the solution was designed for use in highly regulated sectors and deployment across whole enterprises.

Apache Atlas

For companies with platforms that handle a lot of data, Apache Atlas is an open-source application that offers a basic set of metadata management and data governance features. Although its primary application is in Hadoop clusters, it can also communicate metadata with other tools and processes to facilitate integration for analytics applications with other systems.

Hortonworks, a big data platform company that was bought by rival Cloudera in 2019, first created Atlas with cooperation from numerous user groups; the software was turned over to the Apache Software Foundation for continued development in 2015. Organizations may use Atlas to organize, categorize, and manage their data assets. They can also provide data scientists and other analysts, as well as their data governance team, access to collaborative tools.

Axon Data Governance

Informatica promotes Axon Data Governance as a solution that can assist businesses in providing end users and data stewards with reliable data at an enterprise level. The platform leverages AI-driven automation to help stewards with data discovery, data quality evaluation, and communication. Informatica acquired it in 2017 when it bought the original creator Diaku. It also enables governance teams to create curated data marketplaces to help business and analytics users find, access, and understand data.

Data governance teams can also use the Axon tool to develop a common data dictionary, define connections between data elements, identify gaps in data sets, and link governance policies to the data they affect. Furthermore, it is possible to generate end-to-end business processes that offer graphical representations of data lineage.

Erwin Data Intelligence

Admirers of the renowned literary investigator Sherlock Holmes are aware of his extraordinary perceptual and awareness abilities. Quest Software promises similar capabilities with Erwin Data Intelligence, its enterprise data governance tool. The technology “provides data awareness, capability and knowledge to drive data governance and business enablement” in enterprises, according to the company’s statement.

Formally known as Erwin Data Intelligence by Quest, the software combines separate Erwin data catalogs, data literacy, and data quality products in an integrated suite. With governance controls to guarantee that users adhere to internal data rules and best practices, it’s intended to assist IT and data governance teams in making accessible data assets more apparent to end users and provide guidance on their usage. It is possible to create role-based views that provide relevant context for pertinent data for various user groups.

SAS Information Governance

Software vendor SAS Institute hopes to help business and analytics users spend more time analyzing data and less time searching for and assessing data with its SAS Information Governance tool. It also empowers data managers and governance teams to ensure the use and security of data assets. The AI governance platform is offered for sale both independently and as an optional add-on or standard component of several SAS analytics solutions.

The program can automatically crawl data sources, categorize data, and locate sensitive information. It also comes with a data catalog. End users may locate pertinent data, reports, and other analytics assets by searching the metadata in the catalog. The search results include details on use metrics, data quality, and other topics to assist users in determining if the data they have found is appropriate for their analytics requirements.

Download the sample report of Market Forecast: https://qksgroup.com/download-sample-form/market-forecast-ai-governance-platforms-2024-2028-worldwide-6030 

How to Choose the Best AI Governance Platform for Your Business?

The ideal AI governance software for your organization depends on several criteria. While some systems are excellent for enforcing privacy laws about data and AI, others work well for establishing compliance benchmarks, moral standards, or risk assessments.

Look for software with features like data governance, model management, compliance automation, and monitoring capabilities while searching for the best AI governance solution. Depending on the nature of your business, you may need industry-specific AI governance software tailored to meet your sector’s unique requirements.

According to the AI Governance Platforms Market Share, 2023, Worldwide report, or rapidly growing organizations, the major challenge with AI Governance Platforms is their ability to manage and cater to the growing skilled talent need of the organization.

The Market Forecast: AI Governance Platforms, 2024-2028, Worldwide report projects continued expansion of the market. These insights, combined with the detailed evaluations provided by the Quadrant Knowledge Solutions report, equip businesses with the knowledge to make informed decisions, ensuring they select a platform that not only meets their current needs but also supports their growth and adaptation in a rapidly evolving market landscape. 

Talk To Analyst: https://qksgroup.com/become-client 

Conclusion

Artificial intelligence (AI) governance is essential to ensuring the ethical and responsible usage of AI as more and more companies in many industries integrate AI solutions into their workflows.

AI may easily lead to biased judgments, privacy violations, and other unforeseen repercussions if allowed to run helter-skelter. As a result, your company’s AI plan should include AI governance tools as a core component, not an afterthought.

[darkmaga-returns]

1. An ongoing tuberculosis outbreak in Kansas has become the largest in recorded history in the United States. "Currently, Kansas has the largest outbreak that they've ever had in history," Ashley Goss, a deputy secretary at the Kansas Department of Health and Environment, told the Senate Public Health and Welfare Committee on Tuesday. As of Jan. 17, public health officials reported that they had documented 66 active cases and 79 latent infections in the Kansas City, Kansas, metro area since 2024. Most of the cases have been in Wyandotte County, with a handful in Johnson County. (Sources: cjonline.com, indexmundi.com)

2. Chinese startup DeepSeek's AI Assistant today overtook rival ChatGPT to become the top-rated free application available on Apple's App Store in the United States. Powered by the DeepSeek-V3 model, which its creators say "tops the leaderboard among open-source models and rivals the most advanced closed-source models globally", the artificial intelligence application has surged in popularity among U.S. users since it was released on Jan. 10, according to app data research firm Sensor Tower. (Sources: chat.deepseek.com, reuters.com)

3. Eurointelligence:

AI was never a proprietary technology. The underlying technology was always open-source. What made AI semi-proprietary is the fact that these models were trained on large volumes of mostly private data. A 2017 leaked memo from Google that was widely discussed in the industry at the time but also widely disbelieved by investors, said: "An open-source LLM trained for a few million dollars is now outperforming proprietary models… we have no moat and nor does OpenAI." The game-changer with Deepseek is that the entire business is turning open source. We already see other developers building their own models on top of Deepseek. So the situation is not great for the providers of AI specialist services. Models like Deepseek, for example, can produce high quality translations, and will intrude on companies specializing on specialized translation services, like Germany’s Deepl. The lack of a moat should put into question the exuberant financial valuations of the sector. Hardware companies, like Nvidia, are in a much better situation. The cheaper and more accessible the software, the more demand there will be for the hardware. For the rest of the economy, these changes are going to be massive. AI is now coming into the reach of medium-sized and even small companies. These companies have data, on which they could train affordable models. This is where the main competitive AI race will be. And jurisdictions like the EU with a data protectionist bias will lose out in this competitive race. The debate about industrial outsourcing has been mostly focused on labour and energy costs. But for companies that compete globally, with a sufficiently long time horizon, the main strategic reason to relocate is GDPR and the EU’s AI regulation. (Source: eurointelligence.com)