CIO Business Intelligence
JANUARY 6, 2025
CIOs are an ambitious lot. Not the type to be satisfied with the status quo, they have set big goals for themselves in the upcoming year, according to countless surveys of IT execs. They want to expand their use of artificial intelligence, deliver more value from those AI investments, further boost employee productivity, drive more efficiencies, improve resiliency, expand their transformation efforts, and more.
O'Reilly on Data
JANUARY 21, 2025
TL;DR: Enterprise AI teams are discovering that purely agentic approaches (dynamically chaining LLM calls) dont deliver the reliability needed for production systems. The prompt-and-pray modelwhere business logic lives entirely in promptscreates systems that are unreliable, inefficient, and impossible to maintain at scale. A shift toward structured automation, which separates conversational ability from business logic execution, is needed for enterprise-grade reliability.
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KDnuggets
JANUARY 28, 2025
Python environment management can sometimes give you that awful feeling in the pit of your stomach. So don't do it: just use Docker containers.
Analytics Vidhya
JANUARY 21, 2025
The DeepSeek R1 has arrived, and it’s not just another AI modelit’s a significant leap in AI capabilities, trained upon the previously released DeepSeek-V3-Base variant. With the full-fledged release of DeepSeek R1, it now stands on par with OpenAI o1 in both performance and flexibility. What makes it even more compelling is its open weight […] The post DeepSeek R1 vs OpenAI o1: Which One is Faster, Cheaper and Smarter?
Speaker: Tamara Fingerlin, Developer Advocate
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.
David Menninger's Analyst Perspectives
JANUARY 15, 2025
I recently completed the latest edition of our Business Planning Buyers Guide, which reviews and assesses the offerings of 14 providers of this software. One of the points that I look at is whether and to what extent the software provider offers out-of-the-box external data useful for forecasting, planning, analysis and evaluation. What I discovered is that the availability of this type of vital information is exceedingly slim.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
CIO Business Intelligence
JANUARY 14, 2025
The world plunged headfirst into the AI revolution. Now many are admitting they werent quite ready. The 2024 Board of Directors Survey from Gartner , for example, found that 80% of non-executive directors believe their current board practices and structures are inadequate to effectively oversee AI. The 2024 Enterprise AI Readiness Radar report from Infosys , a digital services and consulting firm, found that only 2% of companies were fully prepared to implement AI at scale and that, despite the
Cloudera
JANUARY 7, 2025
In todays dynamic digital landscape, multi-cloud strategies have become vital for organizations aiming to leverage the best of both cloud and on-premises environments. As enterprises navigate complex data-driven transformations, hybrid and multi-cloud models offer unmatched flexibility and resilience. Heres a deep dive into why and how enterprises master multi-cloud deployments to enhance their data and AI initiatives.
Paul Turley
JANUARY 15, 2025
The term "architecture" is more commonly used in the realm of data engineering and data warehouse project work, but the concept applies to BI and analytic reporting projects of all sizes. Like the architecture of a building, a complete Business Intelligence architecture contains the foundation and structure of your solution. Using the building analogy, a data platform can take on many forms, like a single-story cottage, a sprawling university campus or a towering skyscraper.
Analytics Vidhya
JANUARY 6, 2025
In the era of AI, chatbots have revolutionized how we interact with technology. Perhaps one of the most impactful uses is in the healthcare industry. Chatbots are able to deliver fast, accurate information, and help individuals more effectively manage their health. In this article, we’ll learn how to develop a medical chatbot using Gemini 2.0, […] The post Building a Medical Chatbot with Gemini 2.0, Flask and Vector Embedding appeared first on Analytics Vidhya.
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.
David Menninger's Analyst Perspectives
JANUARY 8, 2025
Field service is an often-overlooked area of the service equation, in part because managing its operations involves tools and activities outside of normal contact center models. Field service has a communications component, which is partly handled by contact centers. However, the bulk of field service management activity has to do with organizing the work of technicians and dispatchers.
AWS Big Data
JANUARY 9, 2025
In our previous post Backtesting index rebalancing arbitrage with Amazon EMR and Apache Iceberg , we showed how to use Apache Iceberg in the context of strategy backtesting. In this post, we focus on data management implementation options such as accessing data directly in Amazon Simple Storage Service (Amazon S3), using popular data formats like Parquet, or using open table formats like Iceberg.
CIO Business Intelligence
JANUARY 2, 2025
Generative AI playtime may be over, as organizations cut down on experimentation and pivot toward achieving business value, with a focus on fewer, more targeted use cases. Nearly nine out of 10 senior decision-makers said they have gen AI pilot fatigue and are shifting their investments to projects that will improve business performance, according to a recent survey from NTT DATA.
Cloudera
JANUARY 7, 2025
Airports are an interconnected system where one unforeseen event can tip the scale into chaos. For a smaller airport in Canada, data has grown to be its North Star in an industry full of surprises. In order for data to bring true value to operationsand ultimately customer experiencesthose data insights must be grounded in trust. Ryan Garnett, Senior Manager Business Solutions of Halifax International Airport Authority, joined The AI Forecast to share how the airport revamped its approach to data
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.
Ontotext
JANUARY 10, 2025
Introduction In the real world, obtaining high-quality annotated data remains a challenge. Generative AI (GenAI) models, such as GPT-4, offer a promising solution, potentially reducing the dependency on labor-intensive annotation. At Graphwise, we aim to make knowledge graph construction faster and more cost-effective. Therefore we explored how GenAI could automate several stages of the graph-building pipeline.
Analytics Vidhya
JANUARY 15, 2025
In this article, we dive into the concepts of machine learning and artificial intelligence model explainability and interpretability. We explore why understanding how models make predictions is crucial, especially as these technologies are used in critical fields like healthcare, finance, and legal systems. Through tools like LIME and SHAP, we demonstrate how to gain insights […] The post ML and AI Model Explainability and Interpretability appeared first on Analytics Vidhya.
David Menninger's Analyst Perspectives
JANUARY 21, 2025
Despite all the interest in artificial intelligence (AI) and generative AI (GenAI), ISGs Buyers Guide for Data Platforms serves as a reminder of the ongoing importance of product experience functionality to address adaptability, manageability, reliability and usability. While new and emerging capabilities might catch the eye, features that address data platform security, performance and availability remain some of the most significant deal-breakers when enterprises are considering potential data
AWS Big Data
JANUARY 6, 2025
Google Analytics 4 (GA4) provides valuable insights into user behavior across websites and apps. But what if you need to combine GA4 data with other sources or perform deeper analysis? Thats where Amazon Redshift and Amazon AppFlow come in. Amazon AppFlow bridges the gap between Google applications and Amazon Redshift, empowering organizations to unlock deeper insights and drive data-informed decisions.
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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.
CIO Business Intelligence
JANUARY 7, 2025
Some argue gen AIs emergence has rendered digital transformation pass. AI transformation is the term for them. Others suggest everything should be called business transformation or just transformation for short. What terminology should you use? The one that drives the greatest call to action from your board, executives, and employees because maintaining the status quo is a sure path to disruption.
Cloudera
JANUARY 9, 2025
A Name That Matches the Moment For years, Clouderas platform has helped the worlds most innovative organizations turn data into action. As the AI landscape evolves from experiments into strategic, enterprise-wide initiatives, its clear that our naming should reflect that shift. Thats why were moving from Cloudera Machine Learning to Cloudera AI. This isnt just a new label or even AI washing.
KDnuggets
JANUARY 3, 2025
Learn math through roadmaps, courses, tutorials, Python frameworks for solving equations, guides, exercises, textbooks, and more.
Analytics Vidhya
JANUARY 29, 2025
Beam search is a powerful decoding algorithm extensively used in natural language processing (NLP) and machine learning. It is especially important in sequence generation tasks such as text generation, machine translation, and summarization. Beam search balances between exploring the search space efficiently and generating high-quality output. In this blog, we will dive deep into the […] The post What is Beam Search in NLP Decoding?
Speaker: Yohan Lobo and Dennis Street
In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.
David Menninger's Analyst Perspectives
JANUARY 14, 2025
Technology should be viewed as an enabler of program success for diversity, equity, inclusion and belonging, providing extended support that enables teams to expand their reach and ability to execute more complex business processes. AI-powered recruiting platforms, for example, help remove bias from the hiring process by analyzing job descriptions and identifying language that may unintentionally deter diverse candidates.
AWS Big Data
JANUARY 9, 2025
The rise of generative AI applications has heightened the necessity to implement semantic search and natural language search. These advanced search features help find and retrieve conceptually relevant documents from enterprise content repositories to serve as prompts for generative AI models. Raw data within various source repositories in the form of text, images, audio, video, and so on are converted, with the help of embedding models, to a standard numerical representation called vectors that
CIO Business Intelligence
JANUARY 6, 2025
Artificial intelligence (AI) is no longer the stuff of science fiction; its here, influencing everything from healthcare to hiring practices. Tools like ChatGPT have democratized access to AI, allowing individuals and organizations to harness its potential in ways previously unimaginable. But as with any transformative technology, AI comes with risks chief among them, the perpetuation of biases and systemic inequities.
Dataiku
JANUARY 30, 2025
As data and analytics leaders, youre tasked with navigating the fast-evolving world of AI while ensuring your teams are equipped to thrive in this new era. Building organizational AI literacy is no longer optional its essential for staying competitive and unlocking innovation (such as Johnson & Johnsons Vision team did when they built working GenAI and LLM prototypes with Dataiku in less than two days at a hackathon).
Advertiser: ZoomInfo
As prospects define their problem, search for solutions, and even change jobs, they are generating high-value signals that the best go-to-market teams can leverage to close more deals. This is where signal-based selling comes into play. ZoomInfo CEO Henry Schuck recently broke down specific ways to put four key buying signals into action with the experts from 30 Minutes to President’s Club.
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