January, 2025

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9 IT resolutions for 2025

CIO Business Intelligence

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.

IT 140
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Beyond “Prompt and Pray”

O'Reilly on Data

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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Don’t Manage Your Python Environments, Just Use Docker Containers

KDnuggets

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.

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DeepSeek R1 vs OpenAI o1: Which One is Faster, Cheaper and Smarter?

Analytics Vidhya

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?

Analytics 367
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Activating Intent Data for Sales and Marketing

Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. The reason is clear: intent can provide you with massive amounts of data that reveal sales opportunities earlier than ever before.

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External Data Supports More Accurate Planning

David Menninger's Analyst Perspectives

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.

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Build a high-performance quant research platform with Apache Iceberg

AWS Big Data

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.

More Trending

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Data-Driven Guide to Avoid These 15 Mistakes as an Amazon Seller

Smart Data Collective

Big data has had a huge impact on our lives. It is why the market for big data is currently worth over $327 billion. Some of the businesses that rely most on big data are Amazon sellers. While Amazon itself relies heavily on big data, its merchants can find it especially useful.

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10 GitHub Repositories to Master Math

KDnuggets

Learn math through roadmaps, courses, tutorials, Python frameworks for solving equations, guides, exercises, textbooks, and more.

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Building a Medical Chatbot with Gemini 2.0, Flask and Vector Embedding

Analytics Vidhya

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.

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AI Use Cases for Field Service

David Menninger's Analyst Perspectives

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.

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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

This post is co-written by Dr. Leonard Heilig and Meliena Zlotos from EUROGATE. For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Internally, making data accessible and fostering cross-departmental processing through advanced analytics and data science enhances information use and decision-making, leading to better resource allocation, reduced bottlenecks, and improved operational perf

IoT 90
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Nvidia unveils generative physical AI platform, agentic AI advances at CES

CIO Business Intelligence

At CES in Las Vegas Monday, Nvidia trumpeted a slew of AI announcements, with an emphasis on generative physical AI that promises a new revolution in factory and warehouse automation. AI requires us to build an entirely new computing stack to build AI factories, accelerated computing at data center scale, Rev Lebaredian, vice president of omniverse and simulation technology at Nvidia, said at a press conference Monday.

B2B 128
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Simplifying Cloud Database Management with Infrastructure Automation

Smart Data Collective

Streamline your operations! Discover how infrastructure automation can simplify cloud database management for efficiency and scalability.

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What Are Large Language Models? A Beginner’s Guide for 2025

KDnuggets

Curious about what LLMs are and want to know about them? Explore the Full Guide Right Here, Right Now!

Modeling 147
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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ML and AI Model Explainability and Interpretability

Analytics Vidhya

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.

Modeling 271
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MongoDB Enhances Developer Data Platform

David Menninger's Analyst Perspectives

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

Data Lake 130
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Ingest data from Google Analytics 4 and Google Sheets to Amazon Redshift using Amazon AppFlow

AWS Big Data

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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5 predictions for emerging ’25 technology trends

CIO Business Intelligence

Click on the TV or stream your latest newscast and there is a good chance youll hear AI mentioned in some fashion. Its clear AI remains prevalent today just as it has been for the past several years. To some consumers and businesses, alike it may appear companies are exaggerating the significance of this emerging technology. AI this, AI that The reality is that AI is here to stay and will play a massive role in the future of global technology, how consumers interact with it and the way busine

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Growth of Big Data Requires Android Users to Have VPNs

Smart Data Collective

Android users should take advantage of VPNs to safeguard their data from hackers, the government and big tech.

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How I Would Learn Python in 2025 (If I Could Start Over)

KDnuggets

Ive been programming with Python for over 6 years now. But if I could start over, heres how Id go about learning Python in 2025.

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What is Beam Search in NLP Decoding?

Analytics Vidhya

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?

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Building Inclusive Workplaces: HR Tech's Role in DEIB Transformation

David Menninger's Analyst Perspectives

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.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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Cost Optimized Vector Database: Introduction to Amazon OpenSearch Service quantization techniques

AWS Big Data

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

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Reimagine application modernisation with the power of generative AI

CIO Business Intelligence

In a global economy where innovators increasingly win big, too many enterprises are stymied by legacy application systems. As a consequence, these businesses experience increased operational costs and find it difficult to scale or integrate modern technologies. According to research from NTT DATA , 90% of organisations acknowledge that outdated infrastructure severely curtails their capacity to integrate cutting-edge technologies, including GenAI, negatively impacts their business agility, and l

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How AI Developers Can Get Expert Help with CS Tasks

Smart Data Collective

AI developers need to get outside assistance if they are trying to create better code.

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The Role of AI in Shaping the Future of Work

KDnuggets

Rather than fearing AI, we should see it as a tool that complements human skills, helping professionals focus on high-value work and enhancing job roles.

IT 132
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Predicting the Future of Sales: How AI and Automation Will Revolutionize Strategies

In this exploration, we're diving into predictions about the future of sales. We're talking about a complete shake-up powered by automation and artificial intelligence (AI). These aren't just fancy tools — they're real game-changers. Automation and AI are here to redefine every interaction, making them smarter, faster, and more meaningful. From personalized customer journeys to streamlined sales processes, the goal is to make every moment count, enhancing both efficiency and connection.

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30 Must-Try Computer Vision Projects for 2025

Analytics Vidhya

Computer vision, a dynamic field blending artificial intelligence and image processing, is reshaping industries like healthcare, automotive, and entertainment. With advancements such as OpenAIs GPT-4 Vision and Metas Segment Anything Model (SAM), computer vision has become more accessible and powerful than ever. By 2025, the global computer vision market is projected to surpass $41 billion, fueled by innovations in […] The post 30 Must-Try Computer Vision Projects for 2025 appeared first o

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There Are Gaps in the CX Toolkit Waiting to Be Filled

David Menninger's Analyst Perspectives

The breadth of customer experience (CX) solutions created by software providers in recent years has expanded into new areas, usually related or adjacent to existing, more traditional toolkits. Most providers in the space began as more-or-less pure play contact center software providers, so the CX toolset starts with that set of technologies. Products are grounded in core functions for service delivery, like interaction handling, labor management and customer tracking.

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Juicebox recruits Amazon OpenSearch Service for improved talent search

AWS Big Data

This post is cowritten by Ishan Gupta, Co-Founder and Chief Technology Officer, Juicebox. Juicebox is an AI-powered talent sourcing search engine, using advanced natural language models to help recruiters identify the best candidates from a vast dataset of over 800 million profiles. At the core of this functionality is Amazon OpenSearch Service , which provides the backbone for Juiceboxs powerful search infrastructure, enabling a seamless combination of traditional full-text search methods with

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Bridging the IT skills gap, Part 1: Assessing current strategies and introducing GenAI as a unified solution

CIO Business Intelligence

With advanced technologies like AI transforming the business landscape, IT organizations are struggling to find the right talent to keep pace. The gap between emerging technological capabilities and workforce skills is widening, and traditional approaches such as hiring specialized professionals or offering occasional training are no longer sufficient as they often lack the scalability and adaptability needed for long-term success.

Strategy 124
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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.