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CEOs, CIOs and CFOs are finding that deep tech is actively driving business innovation and profitability. From AI models that boost sales to robots that slash production costs, advanced technologies are transforming both top-line growth and bottom-line efficiency. Business leaders dont need to be technology experts to grasp this shift; they need vision and urgency.
We might’ve heard about Deepseek, but have you also observed mentions of Deepseeks distilled models on Ollama? Or perhaps, if you’ve tried Groq Cloud, you might have witnessed similar models. But what exactly are these distil models? In this context, distil stands for distilled versions of the original models released by the organizations.
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.
Data sharing has become a crucial aspect of driving innovation, contributing to growth, and fostering collaboration across industries. According to this Gartner study , organizations promoting data sharing outperform their peers on most business value metrics. A straightforward data access and sharing mechanism is crucial for enabling effective data sharing across an organization.
Modivcare, which provides services to better connect people with care, is on a transformative journey to optimize its services by implementing a new product operating model. With such a shift, Modivcare and its CIO Jessica Kral aim to create a comprehensive and shared view of the companys processes. This transition also supports a more strategic roadmap for growth and innovation.
LLMs have now exploded in their use across various domains. They are no longer limited to chatbots hosted on the web but are being integrated into enterprises, government agencies, and beyond. A key innovation in this landscape is building custom tools for AI agents using smolagents, allowing these systems to extend their capabilities. Using smolagents, […] The post Building Custom Tools for AI Agents Using smolagents appeared first on Analytics Vidhya.
LLMs have now exploded in their use across various domains. They are no longer limited to chatbots hosted on the web but are being integrated into enterprises, government agencies, and beyond. A key innovation in this landscape is building custom tools for AI agents using smolagents, allowing these systems to extend their capabilities. Using smolagents, […] The post Building Custom Tools for AI Agents Using smolagents appeared first on Analytics Vidhya.
In todays data-driven world, securely accessing, visualizing, and analyzing data is essential for making informed business decisions. Tens of thousands of customers use Amazon Redshift for modern data analytics at scale, delivering up to three times better price-performance and seven times better throughput than other cloud data warehouses. The Amazon Redshift Data API simplifies access to your Amazon Redshift data warehouse by removing the need to manage database drivers, connections, network c
With AI agents poised to take over significant portions of enterprise workflows, IT leaders will be faced with an increasingly complex challenge: managing them. There is a pending concern about how to manage AI agents in the cloud, says Dave McCarthy, research vice president at IDC, noting that the expanding availability of AI agents from startups and established vendors will give CIOs asset management, security, and versioning challenges.
What if you could skip the boring bits of data analysis and jump straight to the good stuff – like uncovering insights? Google Colabs new Data Science Agent, powered by Gemini AI, does just that by handling tasks like importing libraries, cleaning up data, running exploratory data analysis (EDA), and even generating code for you. […] The post How to Access Data Science Agent in Google Colab?
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.
In January, CDO Magazine carried an article by a consortium of authors including Dr. Tom Redman, John Ladley, Dr. Anne-Marie Smith, and others. The eye-catching headline: Data Governance is failing heres why.
For over a decade, Lumina Foundation has tracked the nations progress in post-high school educational attainment, providing key insights for policymakers, researchers, and advocates. Their goal has always been clear: increasing education access and ensuring credentials lead to real economic opportunities. Now, theyre taking that mission a step further.
Two years of experimentation may have given rise to several valuable use cases for gen AI , but during the same period, IT leaders have also learned that the new, fast-evolving technology isnt something to jump into blindly. Some organizations, like imaging and laser printer company Lexmark, have found ways of fencing in the downside potential so they can benefit from the huge upside.
Generative AI is reshaping industries, and having hands-on experience with cutting-edge GenAI projects can set you apart in 2025. With AI tools helping employers sift through heaps of resumes, the right project can enhance your resume and showcase your expertise. So, here we bring you 20 projects that will give you a deeper understanding of […] The post 20 Generative AI Projects to Supercharge Your Resume in 2025 appeared first on Analytics Vidhya.
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.
The Shifting Asset Paradigm In 1988, Australia became one of the first countries to formally recognise intangible assets on the balance sheet. During the 1980s, Australia experienced a surge in corporate mergers and acquisitions (M&A), fuelled by economic liberalisation and deregulation. Companies were being bought and sold at values far exceeding their net tangible assets.
El sector financiero lleva aos inmerso en un proceso de transformacin digital con el objetivo de adaptarse a las necesidades de clientes cada vez ms exigentes. La digitalizacin del sector ha permitido a las entidades financieras expandir su alcance y diversificar sus servicios, revolucionando la forma en la que los clientes se comunican con su banco.Segn un informe del Banco Mundial y el Fondo Monetario Internacional (FMI), desarrollos tecnolgicos como la inteligencia artificial (IA) o las aplic
The field of AI has seen immense transformation in the last several years. The Advanced AI Reasoning Model that can solve complex issues with a high degree of interpretability have replaced systems that could just anticipate the next word in a sequence. As someone who keeps a close eye on this development, I find it […] The post Top 6 AI Reasoning Models to Explore in 2025 appeared first on Analytics Vidhya.
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.
On a recent trip to see the Polar bears in Churchill, Manitoba, Canada (something to add to your bucket list), we took a side trip to go mushing with sled dogs. This was an amazing experience and apart from the exhilarating ride itself, I was totally fascinated by how these 6 small huskies could pull a sled with 3 people on a 1-mile circuit through the snowy woods with amazing coordination and, seemingly, without much effort.
The biggest challenge enterprises face when it comes to implementing AI is seamlessly integrating it across workflows. But AI itself presents a solution in the form of an orchestration layer embedded with AI agents. AI requires massive datasets, customized models, and ongoing fine-tuning. While its potential is broad, that makes it difficult to pinpoint its practical applications in specific industries.
Multimodal LLMs (MLLMs) are the pinnacle of artificial intelligence, effortlessly closing the gap between heterogenous data modalitiestext, images, audio, and video. Contrary to older models that merely dealt with text-based information, MLLMs combine several modalities to provide richer, contextualized insights. This convergence of strengths has revolutionized industries, making possible everything from sophisticated research and automated […] The post Top 10 Multimodal LLMs to Explore in
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.
You want to learn data engineering, but dont know where to start? Here are the suggestions of five free online courses, with some additional resources for skill practicing.
Digital co-workers are no longer hypothetical. AI-driven agents (Agentics) are creeping into every function, every decision process, and every interaction within organizations. In some ways, they are the executive dream they dont need coffee breaks, demand raises, or call in sick. And yet, theyre reshaping work in ways few leaders are prepared to handle.
Essential to global prosperity yet subject to economic and geopolitical forces, companies across the entire energy value chain are under pressure to operate at high levels of safety, efficiency, and uptime. Its the same story across all industries. According to a recent survey by Foundry , nearly all respondents (97%) reported that their organization is impacted by digital friction, defined as the unnecessary effort an employee must exert to use data or technology for work.
Data is at the core of everything, from business decisions to machine learning. But processing large-scale data across different systems is often slow. Constant format conversions add processing time and memory overhead. Traditional row-based storage formats struggle to keep up with modern analytics. This leads to slower computations, higher memory usage, and performance bottlenecks.
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
Explore how AI agents are transforming industries, from chatbots to autonomous vehicles, and learn what data scientists need to know to implement them effectively.
As one of Colombias most innovative banks, Davivienda drives digital transformation to better serve its 21 million customers. Accurate and reliable contact information is crucial for delivering exceptional service, running effective marketing campaigns, and sending timely notifications. But inconsistent phone number data from multiple sources made it difficult to engage customers effectively, limiting opportunities for communication and creating inefficiencies across teams.
CEOs used to think, All IT has to do is just write a program. It was up to the CIO to explain why, in IT-land, the word just really ought to be banned. Then CEO tech literacy happened. It mostly happened, not because CIOs became better at explaining what IT is all about, but because Digital happened. Except that Digital didnt end up meaning what many commentators said it meant.
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The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
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