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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.
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.
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.
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.
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.
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?
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.
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.
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.
IT leaders have five ways to make decisions. Their decision-making can be (1) Authoritarian; (2) Consultative; (3) through Delegation; (4) by submitting the alternatives to a Vote; or (5) by bringing the group to Consensus. Consensus is the most important of the five for IT leaders to master, because consensus the art of getting a group to agree to an alternative even if they dont agree with that alternative is how to maximize a groups buy-in.
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.
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.
Postings for IT jobs are on the wane, having dropped considerably from pandemic peaks. Perhaps more concerning for IT pros is the sense that demand for their services may be at a 10-year low. A recent study from Dice found that 2024 saw 2.24 million IT positions posted, a sharp drop from the 4.08 million IT roles that were posted in 2022, and lower than any previous year going back to 2014 when 2.20 million IT job listings were posted.
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.
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Una gran mayora de consejeros delegados cree que la IA ha avanzado lo suficiente como para empezar a asumir algunas de las responsabilidades que desempean otros miembros de la alta direccin y del consejo de administracin. El 94% de los CEO encuestados por Dataiku, proveedor de plataformas de IA, cree que un agente de IA podra proporcionar un asesoramiento similar o mejor sobre decisiones empresariales que un miembro humano del consejo de administracin.
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.
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El Grupo ING ha anunciado la apertura el prximo mes de septiembre de un centro tecnolgico en Espaa , en concreto en la ciudad de Madrid, en el que trabajarn profesionales centrados en ingeniera de software, arquitectura de sistemas y anlisis de datos. El objetivo de la iniciativa, que se suma a la red global de hubs tecnolgicos que el banco ya tiene en pases como Filipinas, Polonia, Rumana, Eslovaquia y Turqua y que cuenta con ms de 12.500 expertos, es impulsar la transformacin digital de la mul
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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.
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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
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