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Data is the foundation of innovation, agility and competitive advantage in todays digital economy. As technology and business leaders, your strategic initiatives, from AI-powered decision-making to predictive insights and personalized experiences, are all fueled by data. Yet, despite growing investments in advanced analytics and AI, organizations continue to grapple with a persistent and often underestimated challenge: poor data quality.
In modern data architectures, Apache Iceberg has emerged as a popular table format for data lakes, offering key features including ACID transactions and concurrent write support. Although these capabilities are powerful, implementing them effectively in production environments presents unique challenges that require careful consideration. Consider a common scenario: A streaming pipeline continuously writes data to an Iceberg table while scheduled maintenance jobs perform compaction operations.
It almost sounds pejorative, doesnt it? But the distinction between senior and junior software developers is built into our jobs and job titles. Whether we call it entry-level or something else, we distinguish between people who are just starting their careers and those who have been around for a while. Were all still learning (one hopes), but entry-level people are still learning the basics, and seniors have greater responsibility, along with the potential for making bigger mistakes.
Market research is the backbone of customer-driven decision-making, yet gathering reliable insights has never been more challenging. Recruiting and managing a representative sample takes up 60% of a research projects time, but despite these efforts, response rates continue to decline, panel fatigue is growing, and operational costs are rising. At the same time, evolving privacy […] The post Transforming Market Research with Synthetic Panels appeared first on Analytics Vidhya.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Embedded BI Assures User Adoption of Analytics When a business sets out to initiate data democratization and improve data literacy, it must choose the right approach to business intelligence and select an augmented analytics product that is self-serve, intuitive, easy to implement and easy for business users to embrace. Transitioning business users into the role of a Citizen Data Scientist can be challenging.
Risk is inescapable. Look around and youll see technological, economic, and competitive obstacles that CIOs must not only handle, but defeat. A PwC Global Risk Survey found that 75% of risk leaders claim that financial pressures limit their ability to invest in the advanced technology needed to assess and monitor risks. Yet failing to successfully address risk with an effective risk management program is courting disaster.
Risk is inescapable. Look around and youll see technological, economic, and competitive obstacles that CIOs must not only handle, but defeat. A PwC Global Risk Survey found that 75% of risk leaders claim that financial pressures limit their ability to invest in the advanced technology needed to assess and monitor risks. Yet failing to successfully address risk with an effective risk management program is courting disaster.
Were excited to introduce a new enhancement to the search experience in Amazon SageMaker Catalog , part of the next generation of Amazon SageMaker exact match search using technical identifiers. With this capability, you can now perform highly targeted searches for assets such as column names, table names, database names, and Amazon Redshift schema names by enclosing search terms in a qualifier such as double quotes ( " " ).
We all depend on LLMs for our everyday activities, but quantifying “How efficient they are” is a gigantic challenge. Conventional metrics such as BLEU, ROUGE, and METEOR tend to fail in comprehending the real meaning of the text. They are too keen on matching similar words instead of comprehending the concept behind it. BERTScore reverses […] The post BERTScore: A Contextual Metric for LLM Evaluation appeared first on Analytics Vidhya.
Reading Time: 2 minutes Todays world is fast-moving and unpredictable. To keep pace, public sector administrations must evolve just as quickly, to close the gap between what communities need and what governments deliver. In this dynamic environment, time is everything. Citizens expect efficient services, The post Empowering the Public Sector with Data: A New Model for a Modern Age appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Informat
ChatGPT-written term papers? Thats so last semester. Since the AI chatbots 2022 debut, CIOs at the nearly 4,000 US institutions of higher education have had their hands full charting strategy and practices for the use of generative AI among students and professors, according to research by the National Center for Education Statistics. But now higher ed CIOs are beginning to turn their focus to using gen AI to improve operations.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Doing data science projects can be demanding, but it doesnt mean it has to be boring. Here are four projects to introduce more fun to your learning and stand out from the masses.
Evaluating language models has always been a challenging task. How do we measure if a model truly understands language, generates coherent text, or produces accurate responses? Among the various metrics developed for this purpose, the Perplexity Metric stands out as one of the most fundamental and widely used evaluation metrics in the field of Natural […] The post Perplexity Metric for LLM Evaluation appeared first on Analytics Vidhya.
The big news last month was the release of the next version of BusinessObjects, known as BI 2025. In addition, it marks the beginning of a new cadence of future BO software releases coming every two years and named after the year that it will be release in BI 2027, BI 2029 etc. The new version is packed with goodies as the new streamlined BusinessObjects focuses on Web Intelligence, Crystal Reports and its powerful underlying semantic layer and feature-rich administration platform.
IT environments are constantly growing more complex, with organizations rolling out AI agents and LLMs, operating in multiple clouds, and anticipating breakthroughs like quantum computing. At the same time, many CIOs seem to struggle to demonstrate the value of IT to the broader business because other departments often view their domain as a cost center.
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Give your LLMs the extra ability to fetch live stock prices, compare them, and provide historical analysis by implementation tools within the MCP Server.
Metas Llama 4 is a major leap in open-source AI, offering multimodal support, a Mixture-of-Experts architecture, and massive context windows. But what really sets it apart is accessibility. Whether you’re building apps, running experiments, or scaling AI systems, there are multiple ways to access Llama 4 via API. In this guide, I will walk through […] The post How to Access Llama 4 Models via API appeared first on Analytics Vidhya.
Broadcom and Google Clouds continued commitment to solving our customers most pressing challenges stems from our joint goal to enable every organizations ability to digitally transform through data-powered innovation with the highly secure and cyber-resilient infrastructure, platform, industry solutions and expertise. With our longstanding technology and go-to-market partnership, we are yet again innovating to deliver value in the space of cyber and disaster recovery.
Speaker: Claire Grosjean, Global Finance & Operations Executive
Finance teams are drowning in data—but is it actually helping them spend smarter? Without the right approach, excess spending, inefficiencies, and missed opportunities continue to drain profitability. While analytics offers powerful insights, financial intelligence requires more than just numbers—it takes the right blend of automation, strategy, and human expertise.
Large Language Models (LLMs) have become integral to modern AI applications, but evaluating their capabilities remains a challenge. Traditional benchmarks have long been the standard for measuring LLM performance, but with the rapid evolution of AI, many are questioning their continued relevance. Are these benchmarks still a reliable indicator of the real-world performance of LLMs?
Shadow analytics analytics conducted outside of governed IT environments remain one of the biggest blind spots for IT teams. Whether its called shadow IT or decentralized decision-making, the result is the same: duplicated data, scattered workflows, and a lack of oversight that puts compliance and security at risk.
For those that attended VMware Explore in Las Vegas and Barcelona, there was a new self-paced hands-on lab released exclusively for the attendees to experience Google Cloud VMware Engine while at the events. I am happy to announce that this lab has now been made publicly available through the VMware Lab Platform website for anyone to enroll and try.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
As Large Language Models (LLMs) continue to advance quickly, one of their most sight after applications is in RAG systems. Retrieval-Augmented Generation, or RAG connects these models to external information sources, thereby increasing their usability. This helps ground their answers to facts, making them more reliable. In this article, we will compare the performance and […] The post LLaMA 4 vs.
In an era when artificial intelligence (AI) and other resource-intensive technologies demand unprecedented computing power, data centers are starting to buckle, and CIOs are feeling the budget pressure. To address these issues, IT organizations are increasingly migrating workloads to the cloud to gain operational efficiency and agility. There are many challenges in managing a traditional data center, starting with the refresh cycle.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
In the ever-evolving landscape of large language models, DeepSeek V3 vs LLaMA 4 has become one of the hottest matchups for developers, researchers, and AI enthusiasts alike. Whether you’re optimizing for blazing-fast inference, nuanced text understanding, or creative storytelling, the DeepSeek V3 vs LLaMA 4 benchmark results are drawing serious attention.
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