#Power BI Development Solutions

[appdevelopersblogs]

Seamless Power BI Development Services by Shiv Technolabs

Shiv Technolabs offers Power BI development services to help you work with real-time data, custom dashboards, and business reports. Our team builds tailored BI solutions using Microsoft tools, DAX formulas, and Power Query.

We connect your data from sources like Excel, SQL Server, and Azure to create clear, visual insights. Whether you need interactive dashboards or automated reports, we design it to match your goals using Microsoft Power BI.

[mobcoderr]

Best Mobile App Development Services in Saudi Arabia by Mobcoder

At Mobcoder, we take pride in offering the best mobile app development services in Saudi Arabia. Our commitment to excellence, innovative solutions, and dedication to providing top-tier services have positioned us as a leading force in the industry. We understand the unique needs of businesses and individuals seeking to bring their ideas to life through mobile applications.

Original Source - https://mobcoder.wordpress.com/2023/11/06/best-mobile-app-development-services-in-saudi-arabia-by-mobcoder/

[public-cloud-computing]

How Generative AI is Improving Business Forecast Accuracy

Reference : How Generative AI is Improving Business Forecast Accuracy - Medium

The age of digital transformation is upon us, and organizations are actively searching for inventive methods of outperforming rivals. One of the most revolutionary achievements in this regard is the inclusion of Generative AI into BI systems. Generative AI — a sub-category of AI that can create new data samples that are similar to a given set of data — is the revolutionary in forecasting and planning that BI uses. This article shows how generative AI is going to change the way we use business intelligence for forecasting and planning, its advantages, applications and ethical challenges.

The development of Business Intelligence

However, to start with the place of AI in BI forecasting and planning, it is important to comprehend the development of BI and its role in modern operation. Being a term that encompasses different tools, applications and methodologies, Business Intelligence enable an organization to gathering, analyzing and interpreting data to make the right decisions. Traditional BI platforms were mainly based on descriptive and diagnostic analytics with the focus on past performance and identifying prevailing trends.

Hence, with companies appreciating more and more the crucial role of predictive and prescriptive analytics for future success and competitive advantage, there is a heightened requirement for progressively complicated and competent BI tools. It is at this point where generative AI is brought into the equation, characterized by high-level capabilities capable of reshaping BI forecasting and planning strategies.

Through Generative AI in BI Forecasting and Planning, its capabilities can be utilized.

Enhanced Predictive Analytics

Generative AI uniquely increases the efficiency of predictive analytics through the use of complex data sets with advanced machine learning algorithms that factor out the accuracy of predictive models. It is true that unlike the traditional predictive analytics which mostly rely on predetermined algorithms and patterns, the power of AI is in its ability to create new data points and imaginary characters. This opens new opportunities for businesses to know the changing trends of the market better than their competitors and therefore become more efficient.

Generative AI is capable of identifying hidden patterns and subtle relationships contained in big and complex data sets which traditional BI tools fail to catch. Through the crunching of different variables and factors, generative AI can determine business’ insights into the market trends, customer behavior and possible threats and opportunities so that they can make decisions with aim of making the business to be successful.

Scenario Simulation

One of the further developments of AI generative technology is the scenario simulation which facilitates the forecasting and planning strategizing. Generative AI is capable of simulating multiple business scenarios due to its capability to generate synthetic datasets which are based on historical data. This way businesses are able to check and compare alternative strategies and their expected consequences allowing them to make wise decisions in the course of their planning process.

Realistic and accurate simulation by generative AI help to identify eccentric risks and probable openings, estimate the direction of different factors and see that business strategy is sturdy and responsive. This leads to increased agility and durability of enterprises, which allows them to follow quickly the rapidly flowing changes of market conditions and to grab new business opportunities.

Personalized Insights

The AI technologies also generates the personalized responses by analyzing the user’s behavior and inclination. Such an approach helps to uncover the most appropriate marketing and sales directions, which leads to great chances to increase among clients and their loyalty.

Revealing customer data, e.g. shopping history, browsing behavior and interaction with marketing campaigns, through sophisticated data analysis generative AI can find shortcomings and trends and craft personalized offers and recommendations for customers. It helps in planning and implementing marketing and sales strategies, thus it creates consumer engagement and sales growth.

Automating Routine Tasks

Generative AI might even be able to run the whole of the forecasting and planning activities, including data collection, processing and report writing. It gives BI professional additional spare time to focus more on strategic and analytical applications rather than spending it on simple data arrangement.

Generative AI in automation can help companies reduce routinary and time-consuming jobs and help them to grow in operations’ efficiency, cut down on operational costs and make their decision-making quicker. By doing this BI team productivity and performance will show up eventually allowing the team members to deliver more value to the organization.

Real-time Analytics

Generative AI does real-time analytics to keep tabs on the market updates and, consequently, helps a company to act in a timely manner, whenever there is a need for any market adjustments. However, this ability may be critically vital for industrial sectors that have very volatile markets such as retail, finance, and health care.

Thanks to real-time data analysis, generative AI brings business with a unique opportunity to spot and address emergent trends early, find new prospects, and stay informed about their key performance indicators in order to maximize performance and avoid losses on the spot. Technological advancement gives businesses a real edge of fast-decision making and flexibility, and it helps them to take the most of their opportunities.

Improved Data Quality

Generative AI has a great potential of boosting dat quality through detection and correction of such errors as clashing, inconsistency and outliers in data sets. As a result of this, forecasting will have a stronger fundament and would be more reliable and accurate, which minimizes the risk of making hasty decisions that are based on incomplete information.

Through enhancing data quality, generative AI gives to the businesses the opportunity to acquire better decisions thanks more to evidence and veracity, better shape the predictive models’ reliability and accuracy, as well as to enhance the efficiency of the forecasting and planning processes. This improves the accuracy and trustworthiness of the information promoted by BI which helps the businesses make informed decisions with vigour.

Ethical Considerations

Even if generative AI in BI can bring about positive outcomes in forecasting and planning, one should also think about AI ethic issues which might arise and hinder the implementation of this technology. Enterprises should pay special attention that AI models are trained and applied with data collected and used in accordance with the data ethical norms, privacy and compliance regulations established by the lawmakers.

Data Privacy and Security

The AI of the future relies on getting access to relevant and numerous data sets to create meaningful and valued outputs. Companies must have data privacy and security policies to be aware of threats of data misuse, unauthorized access and breaches. Those policies must ensure that only authorized personnel could access sensitive and confidential information of others.

Transparency and Accountability

Therefore, generative AI, which has complex machine learning algorithms to achieve their goals and yield outcomes that are sometimes difficult to decode is one of the advanced technologies of AI. The realm of ethics should include but not be limited to the notion of how the AI “black boxes” function, how decision making comes about, or how any possible biases are identified and dealt with.

Fairness and Bias

AI that is able to creatively could unwittingly therefore keep and amplify the current unfavorable and unfair indications, which is present in the training data for the model. Organizations should eliminate bias and identify mechanisms that can modulate the bias and promote equality. Thus, A.I. must generate unbiased and equitable information.

Conclusion

In the meantime, generative AI is making BI more efficient with imperative analytics, allowing to simulate with different scenarios, wherever applicable providing specific insights on an individual level, automating the routine tasks, availability of real-time analytics, increment in the quality of the data as well as securing the competitive advantage. However, businesses should indeed manage not only the operative questions, but also the ethical aspects confirming due performance when working with data in order to take the best from generative AI in BI.

The prominence of generative AI in today’s business sphere is unimaginable. Businesses always modernize and adapt to changing business environments. This calls for businesses to implement outputs of generative AI in their BI systems into lately. Through the inclusive implementation of the transforming impact of AI with the ethics keeping quiet, companies can become successful because of the cut-throat competition and the fast moving of businesses, in the business world.

[sigmasolveinc]

After the initial discovery phase, AspireVue’s team and the Sigma Solve developers repeatedly followed a four-step process: application design, architecture design, development and testing, and maintenance. Once functionality was deployed, this process started over with new features and user options. We successfully integrate with Power BI and data intelligence tools with detailed visuals.

[techcronus]

ERP Vs CRM: Understanding The Distinct Roles & Integration In Business

ERP and CRM, though both crucial business software, serve distinct purposes:

ERP (Enterprise Resource Planning): Think back-office, managing internal operations like finance, supply chain, and HR. It streamlines processes, tracks resources, and provides a unified view of your business's core functions. Imagine it as the central nervous system, ensuring everything runs smoothly.

CRM (Customer Relationship Management): Now shift to the front-office, focusing on customers. CRM helps manage interactions, track sales pipelines, and offer excellent service. It fosters stronger customer relationships, leading to increased loyalty and sales. Think of it as the friendly face, building connections and driving revenue.

While distinct, they can be powerful when integrated. Imagine seamless data flow between financial records (ERP) and customer purchases (CRM), enabling personalized offers. Integration boosts efficiency, customer satisfaction, and business growth. It's like the brain (ERP) working with the heart (CRM) for a healthy, thriving organization.

[tebsolutions]

Unlock Business Insights with TeBS - Your Trusted Power BI Implementation Partner!

Harness the full potential of Microsoft Power BI with TeBS, your premier partner for data-driven success. Our expert team tailors solutions to your unique enterprise requirements, enabling you to analyze data, derive actionable insights, and drive growth. Elevate your business intelligence journey today.

Explore more: Power BI Partner Dashboard

[ewanmitchellcrumbs]

I'm so sorry to hear that Ange, totally understandble to feel the way you do.

I absolutely love Tear Down My Reason.

How do you find out if your works have been taken as I write myself and I was just wondering?

Thank you 💕

I will likely come back to posting fics, I’m just reeling from this a little as I’ve kept my works locked for two years, so assumed they’d be safe. However, this shitheel has developed a code that gets around archive locking.

Here is the tool you can use to check if your works have been scraped. It’s a Power BI report, and all you need to do is type in your username where it prompts you to. If your fics have been scraped they’ll appear by title.

I’ve been looking further into this, and this site has been incredibly reassuring and helpful. Due to the number of DMCA complaints that HuggingFace received, they disabled the dataset for AO3. As per law, as seven days have elapsed, they will now have deleted it.

It’s unclear what other sites this dude has uploaded the datasets too, and he’s been kind of a prick to people requesting that he remove their fics from set he’s scraped. However, with so much heat on him, I can imagine it’s only a matter of time before he realises that this just isn’t worth it and abandons the idea.

I am hoping that AO3 will work on a solution to prevent this from happening again.

[allaboutkeyingo]

What is the most awesome Microsoft product? Why?

The “most awesome” Microsoft product depends on your needs, but here are some top contenders and why they stand out:

Top Microsoft Products and Their Awesome Features

1. Microsoft Excel

Why? It’s the ultimate tool for data analysis, automation (with Power Query & VBA), and visualization (Power Pivot, PivotTables).

Game-changer feature: Excel’s Power Query and dynamic arrays revolutionized how users clean and analyze data.

2. Visual Studio Code (VS Code)

Why? A lightweight, free, and extensible code editor loved by developers.

Game-changer feature: Its extensions marketplace (e.g., GitHub Copilot, Docker, Python support) makes it indispensable for devs.

3. Windows Subsystem for Linux (WSL)

Why? Lets you run a full Linux kernel inside Windows—perfect for developers.

Game-changer feature: WSL 2 with GPU acceleration and Docker support bridges the gap between Windows and Linux.

4. Azure (Microsoft Cloud)

Why? A powerhouse for AI, cloud computing, and enterprise solutions.

Game-changer feature: Azure OpenAI Service (GPT-4 integration) and AI-driven analytics make it a leader in cloud tech.

5. Microsoft Power BI

Why? Dominates business intelligence with intuitive dashboards and AI insights.

Game-changer feature: Natural language Q&A lets users ask data questions in plain English.

Honorable Mentions:

GitHub (owned by Microsoft) – The #1 platform for developers.

Microsoft Teams – Revolutionized remote work with deep Office 365 integration.

Xbox Game Pass – Netflix-style gaming with cloud streaming.

Final Verdict?

If you’re a developer, VS Code or WSL is unbeatable. If you’re into data, Excel or Power BI wins. For cutting-edge cloud/AI, Azure is king.

What’s your favorite?

If you need any Microsoft products, such as Windows , Office , Visual Studio, or Server , you can go and get it from our online store keyingo.com

[pixiedust-poppers]

you know funny enough, I feel like Jake and the neverland pirates would actually do really well as a Disney channel show for older kids (like say Gravity falls) instead of a preschool show. You’d be able to get more into lore and emotional stuff. Maybe even plot?

I don’t know, if they ever did decide to reboot the show it’s a neat idea.

*grabs your shoulders and shakes you excitedly*

THAT'S WHAT I'M SAYING!!!! LIKE!!!!

Ok, I think there is something to be done with Jake and his crew and his dynamic with Peter and Hook. Like for example how do the kids feel that Peter is only here for a day or a few hours, just enough to help with their issue? I'm sure the kids have a bit of an unhealthy attachment to him as he's really the only guardian figure they know, and as shown in Peter Pan's return, they all crave his attention so bad that they fuck up the mission trying to impress him! Like sure they can call him to bring him back to Neverland, but they don't perhaps he implemented a rule that they can only call him for emergencies. Which is also kinda hm. But you know he doesn't completely neglect them.

Word vomit incoming

Now let's take this a step deeper; what about Peter's relationship with them individually, it's clear he has a favorite, and it's Jake like that isn't a contest. Even if the show tries not to portray it in that manner it's obvious (I mean for fuck sake his name is in the title lol). His item(s)? A wooden sword personally hand-carved by Peter himself. After completing the Forever Quest, a golden sword called the Destiny Sword (towards the end of season 3) turns him into Captain Jake after giving the others a rousing speech about teamwork and how they can all get together to defeat Fathom with it. So it's clear he's the chosen (I'll touch more on that pressure later) by Neverland. But what does that mean for Izzy and Cubby? I mean sure they got items from him and he does care about them, but they're not as special as Jake. And they're never going to be, I mean god, Disney didn't even bother to make them Birthday episodes yet gave Jake two, then gave Skully and a minor character one. So it could develop into them realizing that while they are well-liked they aren't loved by Peter, Cubby is in denial about this revelation as he has gotten more gifts than Izzy. Izzy, the only girl in the main cast, is grated by this knowledge, she KNOWS and she has known for a long time. Enough to the point where perhaps she deserves a villain arc (then a redeemed villain arc) with the help of Captain Hook, who sees this opportunity to manipulate her for his gain.

Ok so jumping, let's go back to that Captain Jake issue. I personally didn't like Season 4, I thought it was shit BUT this new Captain Jake in a reboot could bring up an interesting little angst point called, "The pressure of being forced to be THE responsible one when you're only still a child." You might have all these other well-established Captains around you but, they depend on you to think of ideas, and come up with solutions to save the day, if you fail then it's on you but you're only 8 or 10 years old!!! A user mentioned this before but Jake could develop an entirely new personality as a Captain to make himself seem smarter and more capable than he actually is! This can go two ways A) he burns out and he burns out REAL bad and rather fast. B) The apple doesn't fall far from the tree, and the realization of how much power he holds makes him realize he can almost do whatever he wants because he IS the 2nd most powerful person after Peter. This then comes his Power-tripping arc and the consequences of Peter not dividing this power between the trio, and being gassed up everyone, which raises his ego through the roof. This can only end badly obv and it does, how? idk but just know it does.

As for Captain Hook, because this is New Disney he can't be 100% back to his OG self but he can absolutely be raised to be more of an asshole in a Disney channel show and probably a bit fucked up. But you also would have to thread carefully on how you do these things, because one wrong move and Disney will have you rewrite the whole thing and tone it down more than need be. I also think there would be more to explore with the kids and their dynamic with him, since they also would have more nuance to them. They could have more stakes with him, and could honestly do more messed up shit with them he could make them have an inner conflict, he could manipulate one to join his side temporarily. Put the kids in more life-threatening situations that they don't come out unscathed from. Hell, you know what, I want him to win some episodes and get his way with Jake and his crew being powerless to stop it. It would teach a lesson that some days, you just can't win, someone who is nasty will win and get away with it and you have to be ok with that! (if you have resourced all your options first) Life will not always go your way. As for him and Red Jessica, show a toxic relationship, I mean come on do you REALLY think she has a thing for hook lol, it was shoehorned Hetero-shipping bait and it worked now can we do something else with it? As for smee, sharky and bones? I guess they can be less friendly to the sea pups, it would be more of a loyalty thing rather than a personal thing.

Also, the show could bring back the lost boys, to make the island seem less empty than it is, and maybe a different set of kids to replace the Native Americans.

Finally, to end this word vomit, the relationship between the kids. I really beg it be explored more. Now don't get me wrong they can have a wholesome and loving bond but not everything has to be peachy-keen. Like sure Jake is their captain but do they, not envy or resent him in some way? For example, they're all bright but Izzy is shown to be the brightest she has more knowledge about Neverland and its artifacts, so why is she not captain? Is it because she isn't naive enough? She isn't as nice or forgiving as Jake? She has no issue snapping at you when she's fed up? Then there's cubby, does he even have the real guts to be cut up for this type of thing? The classic "why him and not me?" type of deal. Then there's Cubby, does he hate being just stuck as coconut boy by his peers and other pirates? Will he ever break out of his shell, does he have a breaking point with his friends? Then Jake gets annoyed that they're not as in sync as they once were, he kinda hates that they're developing on their own and steadily gaining more and more independence. They're willing to talk back to him, be rude, and do less trio activities. Which leads to more conflicting ideas, possibly fights, and less "what I say goes!". He is scared of them changing and becoming their own individuals, he's scared that they might be growing up.

Sorry this is so so so long and rambly, I just have a lot to say about a reboot for this show that I cannot help myself.

[materialsscienceandengineering]

Research team develops key n-type thermoelectric semiconductor technology to recycle waste heat

A research team has developed a bismuth telluride (Bi-Te) based thermoelectric material with artificially formed atomic-scale defects and proposed a solution to improve its properties in order to harness wasted thermal energy. This is a semiconductor technology applied to thermoelectric power generators that generate electricity by recycling waste heat below 200℃ from industrial and transportation sectors such as factories, automobiles, and ship engines. Thermoelectric power generators are a combination of p-type and n-type semiconductors that reversibly convert temperature differences into electrical energy and vice versa. Until now, research has focused on improving the properties of p-type thermoelectric materials composed of bismuth (Bi) and tellurium (Te). On the other hand, n-type thermoelectric semiconductors containing selenium (Se) have been slow to improve their properties due to the difficulty in controlling the composition and microstructure, which has been pointed out as a hindrance to the commercialization of thermoelectric technology.

Read more.

[tirupatitransformerpvtltd]

Delivering Reliable Power: Tirupati Transformer High-Efficiency Distribution Transformers Built for India’s Energy Needs

India’s energy landscape is evolving rapidly. With growing urbanization, increased industrial activity, and a surge in renewable energy adoption, the demand for efficient and reliable power Three Phase distribution transformer has never been greater. At the heart of this transformation lies the unsung hero of the power sector: the Distribution transformer.

At Tirupati Transformers, we understand the critical role transformers play in delivering uninterrupted, energy-efficient power across India’s cities, towns, and rural communities. Our high-efficiency distribution transformers are designed not only to meet current energy demands but also to align with the nation’s future goals for sustainability and grid modernization.

⚙️ Built for Indian Conditions:

Tirupati Transformers are engineered specifically for India’s diverse climate, voltage fluctuations, and load conditions. Whether it's the scorching summers of Rajasthan or the heavy monsoons in the Northeast, our units are tested for durability and performance in all environments.

High short-circuit strength Enhanced cooling systems Moisture-resistant insulation Anti-corrosive coatings

⚡ Energy Efficiency That Saves More:

Distribution losses are a major concern in India's power sector. Tirupati addresses this with star-rated energy-efficient transformers that comply with the latest Bureau of Energy Efficiency (BEE) guidelines. Our designs significantly reduce core and copper losses, helping utilities and industrial clients cut operational costs while conserving energy.

Key Efficiency Features:

CRGO & Amorphous metal cores Low-loss design complying with IS1180 Part-1 & IEC standards Aluminum and copper wound options Optional OLTC (On-Load Tap Changer) for voltage optimization

🏭 Supporting India’s Industrial Growth:

From state utilities and rural electrification programs to smart city projects and private Industrial transformer zones, Tirupati Transformers power critical infrastructure across the nation. With capacities ranging from 100 kVA to 2500 kVA, we offer a wide portfolio to suit every scale and sector.

Our transformers are widely used in:

Power distribution utilities (DISCOMs) Solar and wind energy farms Railways and metro projects Commercial buildings and industrial parks

✅ Quality You Can Trust:

At Tirupati Transformers, quality is not an option—it’s our promise. Our transformers go through rigorous testing at every stage of manufacturing. With ISO-certified processes and fully equipped testing labs, we ensure each unit delivers peak performance from day one.

Certifications & Standards:

ISO 9001:2015 BIS certification NABL-accredited testing Compliance with BEE, IS, and IEC standards

🌱 Powering a Sustainable Future:

As India moves toward its renewable energy goals and energy access for all, Tirupati Transformers is proud to contribute solutions that are both economically and environmentally responsible. Our focus on innovation and energy efficiency plays a vital role in reducing the nation’s carbon footprint.

🔋 Partner with Tirupati for Smarter Power Distribution:

With over 12 years of experience, a pan-India presence, and a track record of excellence, Tirupati Transformers is a trusted name in energy solutions. Whether you're a utility provider, a project developer, or an industrial client, we deliver transformers that are robust, reliable, and ready for the future.

Let’s power progress—efficiently, reliably, and sustainably.

📞 Contact Us Today:

To learn more about our products or to request a quote, visit: www.tirupatitransformers.com or email us at Info@tirupatitransformers.com.

[webtualglobal]

Businesses that want to make better decisions and reports based on data should consider switching to Power BI. But like any tech shift, doing it the right way matters. A well-planned Power BI migration ensures your data is accurate, your dashboards are functional, and your team is ready to take full advantage of what the platform offers. Power BI makes it easier for teams to turn raw data into visual reports that are easy to understand and share. However, moving from older systems or tools like Excel, Tableau, or legacy BI platforms requires careful planning. That can be done with the help of Power BI coaching services. These professionals can help you assess your current setup, decide what to migrate, and ensure everything works smoothly once the move is complete. A reliable Power BI development company can also build custom reports and dashboards customized to your business needs. Instead of starting from scratch, you get fully functional tools to track your goals, highlight trends, and support more intelligent decisions. Power BI migration isn't just about moving data; it's about ensuring your team uses the new tools effectively. So, working with Power BI pros is very important. They handle the technical side of the migration and help train your staff so everyone can get value from the new setup. Whether you're shifting from on-premises databases or cloud-based platforms, a Microsoft Power BI consultant can guide the process. From planning and data mapping to performance optimization, having a professional by your side ensures nothing gets overlooked. The result? A seamless transition to a platform that helps your business stay agile and informed. With the appropriate team, Power BI becomes more than just a tool for reporting. It turns into a daily ritual.

If your business is considering moving, now's the time to consult with experienced professionals. With the help of trusted Power BI consulting services, you can make the switch smoothly and start unlocking insights that drive results.

[govindhtech]

Google Cloud’s BigQuery Autonomous Data To AI Platform

BigQuery automates data analysis, transformation, and insight generation using AI. AI and natural language interaction simplify difficult operations.

The fast-paced world needs data access and a real-time data activation flywheel. Artificial intelligence that integrates directly into the data environment and works with intelligent agents is emerging. These catalysts open doors and enable self-directed, rapid action, which is vital for success. This flywheel uses Google's Data & AI Cloud to activate data in real time. BigQuery has five times more organisations than the two leading cloud providers that just offer data science and data warehousing solutions due to this emphasis.

Examples of top companies:

With BigQuery, Radisson Hotel Group enhanced campaign productivity by 50% and revenue by over 20% by fine-tuning the Gemini model.

By connecting over 170 data sources with BigQuery, Gordon Food Service established a scalable, modern, AI-ready data architecture. This improved real-time response to critical business demands, enabled complete analytics, boosted client usage of their ordering systems, and offered staff rapid insights while cutting costs and boosting market share.

J.B. Hunt is revolutionising logistics for shippers and carriers by integrating Databricks into BigQuery.

General Mills saves over $100 million using BigQuery and Vertex AI to give workers secure access to LLMs for structured and unstructured data searches.

Google Cloud is unveiling many new features with its autonomous data to AI platform powered by BigQuery and Looker, a unified, trustworthy, and conversational BI platform:

New assistive and agentic experiences based on your trusted data and available through BigQuery and Looker will make data scientists, data engineers, analysts, and business users' jobs simpler and faster.

Advanced analytics and data science acceleration: Along with seamless integration with real-time and open-source technologies, BigQuery AI-assisted notebooks improve data science workflows and BigQuery AI Query Engine provides fresh insights.

Autonomous data foundation: BigQuery can collect, manage, and orchestrate any data with its new autonomous features, which include native support for unstructured data processing and open data formats like Iceberg.

Look at each change in detail.

User-specific agents

It believes everyone should have AI. BigQuery and Looker made AI-powered helpful experiences generally available, but Google Cloud now offers specialised agents for all data chores, such as:

Data engineering agents integrated with BigQuery pipelines help create data pipelines, convert and enhance data, discover anomalies, and automate metadata development. These agents provide trustworthy data and replace time-consuming and repetitive tasks, enhancing data team productivity. Data engineers traditionally spend hours cleaning, processing, and confirming data.

The data science agent in Google's Colab notebook enables model development at every step. Scalable training, intelligent model selection, automated feature engineering, and faster iteration are possible. This agent lets data science teams focus on complex methods rather than data and infrastructure.

Looker conversational analytics lets everyone utilise natural language with data. Expanded capabilities provided with DeepMind let all users understand the agent's actions and easily resolve misconceptions by undertaking advanced analysis and explaining its logic. Looker's semantic layer boosts accuracy by two-thirds. The agent understands business language like “revenue” and “segments” and can compute metrics in real time, ensuring trustworthy, accurate, and relevant results. An API for conversational analytics is also being introduced to help developers integrate it into processes and apps.

In the BigQuery autonomous data to AI platform, Google Cloud introduced the BigQuery knowledge engine to power assistive and agentic experiences. It models data associations, suggests business vocabulary words, and creates metadata instantaneously using Gemini's table descriptions, query histories, and schema connections. This knowledge engine grounds AI and agents in business context, enabling semantic search across BigQuery and AI-powered data insights.

All customers may access Gemini-powered agentic and assistive experiences in BigQuery and Looker without add-ons in the existing price model tiers!

Accelerating data science and advanced analytics

BigQuery autonomous data to AI platform is revolutionising data science and analytics by enabling new AI-driven data science experiences and engines to manage complex data and provide real-time analytics.

First, AI improves BigQuery notebooks. It adds intelligent SQL cells to your notebook that can merge data sources, comprehend data context, and make code-writing suggestions. It also uses native exploratory analysis and visualisation capabilities for data exploration and peer collaboration. Data scientists can also schedule analyses and update insights. Google Cloud also lets you construct laptop-driven, dynamic, user-friendly, interactive data apps to share insights across the organisation.

This enhanced notebook experience is complemented by the BigQuery AI query engine for AI-driven analytics. This engine lets data scientists easily manage organised and unstructured data and add real-world context—not simply retrieve it. BigQuery AI co-processes SQL and Gemini, adding runtime verbal comprehension, reasoning skills, and real-world knowledge. Their new engine processes unstructured photographs and matches them to your product catalogue. This engine supports several use cases, including model enhancement, sophisticated segmentation, and new insights.

Additionally, it provides users with the most cloud-optimized open-source environment. Google Cloud for Apache Kafka enables real-time data pipelines for event sourcing, model scoring, communications, and analytics in BigQuery for serverless Apache Spark execution. Customers have almost doubled their serverless Spark use in the last year, and Google Cloud has upgraded this engine to handle data 2.7 times faster.

BigQuery lets data scientists utilise SQL, Spark, or foundation models on Google's serverless and scalable architecture to innovate faster without the challenges of traditional infrastructure.

An independent data foundation throughout data lifetime

An independent data foundation created for modern data complexity supports its advanced analytics engines and specialised agents. BigQuery is transforming the environment by making unstructured data first-class citizens. New platform features, such as orchestration for a variety of data workloads, autonomous and invisible governance, and open formats for flexibility, ensure that your data is always ready for data science or artificial intelligence issues. It does this while giving the best cost and decreasing operational overhead.

For many companies, unstructured data is their biggest untapped potential. Even while structured data provides analytical avenues, unique ideas in text, audio, video, and photographs are often underutilised and discovered in siloed systems. BigQuery instantly tackles this issue by making unstructured data a first-class citizen using multimodal tables (preview), which integrate structured data with rich, complex data types for unified querying and storage.

Google Cloud's expanded BigQuery governance enables data stewards and professionals a single perspective to manage discovery, classification, curation, quality, usage, and sharing, including automatic cataloguing and metadata production, to efficiently manage this large data estate. BigQuery continuous queries use SQL to analyse and act on streaming data regardless of format, ensuring timely insights from all your data streams.

Customers utilise Google's AI models in BigQuery for multimodal analysis 16 times more than last year, driven by advanced support for structured and unstructured multimodal data. BigQuery with Vertex AI are 8–16 times cheaper than independent data warehouse and AI solutions.

Google Cloud maintains open ecology. BigQuery tables for Apache Iceberg combine BigQuery's performance and integrated capabilities with the flexibility of an open data lakehouse to link Iceberg data to SQL, Spark, AI, and third-party engines in an open and interoperable fashion. This service provides adaptive and autonomous table management, high-performance streaming, auto-AI-generated insights, practically infinite serverless scalability, and improved governance. Cloud storage enables fail-safe features and centralised fine-grained access control management in their managed solution.

Finaly, AI platform autonomous data optimises. Scaling resources, managing workloads, and ensuring cost-effectiveness are its competencies. The new BigQuery spend commit unifies spending throughout BigQuery platform and allows flexibility in shifting spend across streaming, governance, data processing engines, and more, making purchase easier.

Start your data and AI adventure with BigQuery data migration. Google Cloud wants to know how you innovate with data.

[fraoula1]

𝐓𝐨𝐩 5 𝐅𝐮𝐭𝐮𝐫𝐢𝐬𝐭𝐢𝐜 𝐒𝐢𝐝𝐞 𝐇𝐮𝐬𝐭𝐥𝐞𝐬 𝐟𝐨𝐫 𝐓𝐞𝐜𝐡𝐢𝐞𝐬 𝐢𝐧 2025

In today’s fast-paced tech world, side hustles can be a fantastic way for professionals to boost their skills and earn extra income. With advancements in artificial intelligence, remote working, and a growing need for tech solutions, 2025 is filled with exciting possibilities for tech enthusiasts.

This post dives into five promising side hustles, supported by data and trends. Techies can capitalize on their expertise and thrive in these areas.

1. Remote IT Support

With businesses shifting to hybrid work models, the demand for remote IT support has skyrocketed. According to a report from the International Data Corporation (IDC), the global IT services market is set to hit $1 trillion by 2025, hinting at tremendous opportunities in this field.

Techies with skills in troubleshooting can offer services to both businesses and individuals. The TechServe Alliance notes that the demand for IT support roles surged over 10% last year, making this a vibrant market.

Starting a remote IT support hustle is easy. Freelancing platforms like Upwork and Fiverr allow techies to find clients quickly. Depending on the complexity of the service, they can earn between $25 and $150 per hour while enjoying the flexibility to work on their own schedule.

2. Cybersecurity Consulting

As cyber threats evolve, companies increasingly prioritize cybersecurity. A report from Cybersecurity Ventures predicts that costs from cybercrime could reach $10.5 trillion annually by 2025. This statistic underscores the growing need for cybersecurity professionals.

Techies with experience in cybersecurity can offer their services to businesses looking to protect sensitive data. A survey by Proofpoint found that 55% of organizations fended off phishing attacks, indicating a strong demand for seasoned professionals.

In this consulting niche, technology experts can earn between $100 and $500 per hour, based on their experience and project complexity. Earning certifications, like the Certified Information Systems Security Professional (CISSP), can significantly boost credibility and income potential.

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3. Software Development and Mobile App Creation

As the world becomes more mobile-first, demand for software and app development is expected to rise. Statista reports that the global app economy may generate over $407.31 billion in revenue by 2026, presenting a lucrative chance for techies skilled in coding.

Developers can enter this space through freelancing or by launching their own projects. Tools like React Native and Flutter allow for efficient cross-platform application development, saving both time and resources.

Freelancers can charge between $50 and $200 per hour based on expertise and project scope. For those willing to turn a side hustle into a full business, the income from app sales and in-app purchases can be enormous.

4. Data Analysis and Visualization

Data remains one of the most valuable assets today, with analytics aiding decision-making. The global data analytics market might reach $300 billion by 2026, creating fertile ground for techies skilled in data analysis.

Freelance data analysts can help companies extract valuable insights from their data. Utilizing tools like Tableau, Power BI, and R can help create compelling visualizations, making their services even more attractive.

Data analysts typically charge between $40 and $150 per hour depending on analysis complexity. Mastering data storytelling enables techies to transform raw data into practical insights, positioning themselves as key assets for businesses.

5. E-Learning Course Creation

The rapid growth of online learning has made creating and selling e-learning courses a sought-after side hustle. The global e-learning market is anticipated to reach $375 billion by 2026, driven by rising demand for skill development.

Techies can harness their knowledge to develop courses on platforms like Udemy or Teachable. Topics can range from programming languages to software tools and emerging technologies, such as AI and machine learning. Statista reported that 42% of online course creators are tech professionals, showing the market's strong bias toward technical education.

Successful courses can generate substantial passive income, sometimes yielding thousands of dollars. Since course creation has low overhead, techies can concentrate on producing high-quality content and devising effective marketing strategies.

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Unlocking New Opportunities in Tech

The side hustles mentioned offer exciting paths for tech-savvy individuals aiming to enhance their skills and income in 2025.

As technology keeps evolving, the need for skilled professionals in IT support, cybersecurity, software development, data analysis, and e-learning will continue to grow.

By leveraging their expertise and using the right platforms, techies can build rewarding side hustles that provide financial perks and opportunities for personal and career growth.

Whether solving challenging problems for clients, creating innovative apps, or imparting knowledge, the potential for side hustles in the tech sector is vast. The key is to find a niche that aligns with personal interests, engage in continuous learning, and embrace the entrepreneurial spirit in this dynamic environment.

In a landscape where technology is at the center of everyday life, techies hold a unique position to lead future innovations. Engaging in these side hustles will not only keep them relevant but also equip them for the challenges and opportunities that lie ahead.

[tubetrading]

Key Factors to Consider When Selecting an IBR Fittings and Flanges Supplier in Gujarat

In the rapidly evolving industrial landscape of Gujarat, choosing the right supplier for IBR fittings and flanges is crucial for ensuring the safety, efficiency, and longevity of your operations. Whether you are a manufacturing company, a power plant, or part of the chemical industry, sourcing the best components plays a pivotal role in your project's success.

With several options available in the market, how do you select the most reliable IBR fitting and flanges supplier in Gujarat? What differentiates a good IBR fitting and flanges dealer in Vadodara from the rest? In this blog, we’ll explore the key factors you must consider when choosing the right partner for your industrial piping and pressure component needs.

1. Compliance with IBR Standards:

The foremost factor to consider is compliance with Indian Boiler Regulations (IBR). These regulations govern the design, material, fabrication, inspection, and certification of components used in boilers and piping systems.

An ideal IBR fitting and flanges distributor in Vadodara should provide products that are fully compliant with IBR norms. Look for suppliers who can offer you third-party inspection certificates and IBR approvals, ensuring you meet legal and safety standards.

2. Product Range and Inventory Availability:

A dependable IBR fitting and flanges supplier in Gujarat should have a comprehensive product range. Whether you require elbows, tees, reducers, sockets, weld neck flanges, blind flanges, or slip-on flanges, the supplier should be able to fulfill diverse needs under one roof.

Additionally, consistent stock availability ensures that your project timelines are not disrupted. A well-stocked IBR fitting and flanges dealer in Vadodara can offer quicker deliveries and reduce downtime, which is critical for industries with tight schedules.

3. Quality Assurance and Certifications:

Quality is non-negotiable when it comes to high-pressure piping systems. Choose a supplier who follows strict quality assurance protocols and is certified by reputed institutions such as ISO, BIS, or PED.

The best IBR fitting and flanges distributors in Vadodara will have a dedicated quality inspection team and in-house testing facilities for hydro testing, ultrasonic testing, chemical analysis, and dimensional inspection. Such practices ensure that you receive durable and high-performance products.

4. Technical Expertise and Customization:

Every industry has unique requirements. Hence, your supplier should have the technical knowledge to provide custom solutions based on pressure ratings, material grades, or design specifications.

A trusted IBR fitting and flanges supplier in Gujarat will have experienced engineers who can advise you on the right specifications and even develop tailored components if needed. This technical support can save you from costly errors and mismatches during installation

5. Competitive Pricing and Transparent Quotations:

Cost plays a crucial role in the supplier selection process. While it is tempting to go for the lowest quote, it is important to ensure that quality is not compromised. A professional IBR fitting and flanges dealer in Vadodara will offer competitive rates with complete transparency in pricing.

Look for suppliers who provide detailed quotations outlining material grades, sizes, delivery timelines, and payment terms clearly. This helps in avoiding hidden costs and budget overruns.

6. Timely Delivery and Logistics Support:

Delayed deliveries can impact the entire project timeline. Choose a supplier known for prompt and reliable delivery services. A reputed IBR fitting and flanges distributor in Vadodara often has a strong supply chain network and logistics support to ensure on-time delivery, even to remote project locations in Gujarat.

Suppliers with in-house warehousing and transportation arrangements add an extra layer of convenience, especially for large volume or urgent orders.

7. After-Sales Service and Support:

A professional supplier’s responsibility doesn't end after the sale. Post-delivery support, installation guidance, and handling of warranty claims are part of a comprehensive customer service experience.

Choose an IBR fitting and flanges supplier in Gujarat who offers dedicated after-sales support and is available for quick assistance in case of technical or delivery issues. This ensures a smooth and hassle-free experience throughout your project lifecycle.

8. Customer Reviews and Market Reputation:

Before finalizing your supplier, it’s wise to research their market reputation. Online reviews, testimonials, and references from industry peers can give you an idea about the supplier’s reliability and service standards.

A well-established IBR fitting and flanges dealer in Vadodara with a proven track record is more likely to meet your expectations than a relatively unknown vendor. You can also ask the supplier for client references and project portfolios to gauge their experience.

9. Location Advantage and Local Presence:

Proximity matters when it comes to industrial supplies. Working with a local IBR fitting and flanges distributor in Vadodara has its benefits—lower transportation costs, quicker delivery, and easy coordination.

Moreover, a local supplier who understands regional business dynamics can offer better support and responsiveness compared to distant vendors.

10. Sustainability and Responsible Sourcing:

In today's environmentally conscious world, it is important to work with suppliers who follow sustainable manufacturing and responsible sourcing practices. Ask your IBR fitting and flanges supplier in Gujarat about their efforts towards energy efficiency, waste management, and eco-friendly packaging.

Industries are increasingly adopting green practices, and associating with responsible suppliers enhances your company’s sustainability goals and reputation.

Conclusion:

Choosing the right IBR fitting and flanges dealer in Vadodara is a critical decision that can impact the safety, cost, and efficiency of your entire operation. By considering the factors mentioned above—quality, compliance, technical expertise, service, and reputation—you can build long-term partnerships that support your business growth.

If you are looking for a reliable and experienced IBR fitting and flanges supplier in Gujarat, trust TubeTrading to meet your needs with quality, commitment, and customer satisfaction. As a leading IBR fitting and flanges distributor in Vadodara, we are dedicated to providing industry-grade solutions that meet IBR standards and exceed client expectations.

[xaltius]

Business Analytics vs. Data Science: Understanding the Key Differences

In today's data-driven world, terms like "business analytics" and "data science" are often used interchangeably. However, while they share a common goal of extracting insights from data, they are distinct fields with different focuses and methodologies. Let's break down the key differences to help you understand which path might be right for you.

Business Analytics: Focusing on the Present and Past

Business analytics primarily focuses on analyzing historical data to understand past performance and inform current business decisions. It aims to answer questions like:

What happened?

Why did it happen?

What is happening now?

Key characteristics of business analytics:

Descriptive and Diagnostic: It uses techniques like reporting, dashboards, and data visualization to summarize and explain past trends.

Structured Data: It often works with structured data from databases and spreadsheets.

Business Domain Expertise: A strong understanding of the specific business domain is crucial.

Tools: Business analysts typically use tools like Excel, SQL, Tableau, and Power BI.

Focus: Optimizing current business operations and improving efficiency.

Data Science: Predicting the Future and Building Models

Data science, on the other hand, focuses on building predictive models and developing algorithms to forecast future outcomes. It aims to answer questions like:

What will happen?

How can we make it happen?

Key characteristics of data science:

Predictive and Prescriptive: It uses machine learning, statistical modeling, and AI to predict future trends and prescribe optimal actions.

Unstructured and Structured Data: It can handle both structured and unstructured data from various sources.

Technical Proficiency: Strong programming skills (Python, R) and a deep understanding of machine learning algorithms are essential.

Tools: Data scientists use programming languages, machine learning libraries, and big data technologies.

Focus: Developing innovative solutions, building AI-powered products, and driving long-term strategic initiatives.

Key Differences Summarized:

Which Path is Right for You?

Choose Business Analytics if:

You are interested in analyzing past data to improve current business operations.

You have a strong understanding of a specific business domain.

You prefer working with structured data and using visualization tools.

Choose Data Science if:

You are passionate about building predictive models and developing AI-powered solutions.

You have a strong interest in programming and machine learning.

You enjoy working with both structured and unstructured data.

Xaltius Academy's Data Science & AI Course:

If you're leaning towards data science and want to delve into machine learning and AI, Xaltius Academy's Data Science & AI course is an excellent choice. This program equips you with the necessary skills and knowledge to become a proficient data scientist, covering essential topics like:

Python programming

Machine learning algorithms

Data visualization

And much more!

By understanding the distinct roles of business analytics and data science, you can make an informed decision about your career path and leverage the power of data to drive success.