Sat.Feb 10, 2024 - Fri.Feb 16, 2024

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Generative AI Makes Natural Language Analytics a Reality

David Menninger's Analyst Perspectives

We’ve been saying for years that natural language processing (NLP) and natural language analytics would greatly expand access to analytics. However, prior to the explosion of generative AI (GenAI), software providers had struggled to bring robust natural language capabilities to market. It required considerable manual effort. Many analytics providers had introduced natural language capabilities, but they didn’t really resonate with enterprise requirements.

Analytics 162
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Prioritizing AI? Don’t shortchange IT fundamentals

CIO Business Intelligence

Generative AI continues to dominate IT projects for many organizations, with two thirds of business leaders telling a Harris Poll they’ve already deployed generative AI tools internally, and IDC predicting spend on gen AI will more than double in 2024. But the usual laundry list of priorities for IT hasn’t gone away. Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with.

IT 143
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What Is Data Lineage, And Why Does It Matter?

KDnuggets

If you’ve ever had conversations with data professionals, you’ve probably heard “data lineage” pop up quite a few times. So what is data lineage all about, and why is it important?

IT 116
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The customer experience evolution: Today’s data-driven, real-time discipline

IBM Big Data Hub

An evolution of customer experience (CX) was to be expected. Throughout modern history, organizations have encountered internal and external challenges that changed how they interact with customers and how customers view those organizations. Advancements in technology mean customers can order virtually any product and receive it in less than a week.

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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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Top Data Science Specializations for 2024

Analytics Vidhya

Introduction Data Science is everywhere in the 21st century and has emerged as an innovative field. But what exactly is Data Science? And why should one consider specializing in it? This blog post aims to answer these questions and more. Data Science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to […] The post Top Data Science Specializations for 2024 appeared first on Analytics Vidhya.

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Budget-Friendly Data Analysis Tools for Small and Scaling Businesses

Smart Data Collective

While data analysis may have been reserved for huge corporations with large budgets in the past, today, it’s more accessible than ever before. Whether you’re a one-person operation or the leader of a growing small business, utilizing data analysis is a great way to improve efficiency, boost productivity, and scale to new heights.

Big Data 100

More Trending

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Can I Ensure That My Analytics Project Gets Approved?

Smarten

You have decided that your business can benefit from an analytics solution. Now, it is time to convince your executive team, your managers and your users. If you are to gain approval for your initiative, you must take the right approach. In this article, we discuss some of the primary factors you must consider to build and present your initiative to the various audiences within your organization.

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Optimization Strategies for Iceberg Tables

Cloudera

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. It offers several benefits such as schema evolution, hidden partitioning, time travel, and more that improve the productivity of data engineers and data analysts.

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How Real is Spatial Computing For The Enterprise?

Timo Elliott

I got a chance to try out the Apple Vision Pro at the SAP Paris office yesterday (a real honor, since it’s not going to be commercially available in France until much later this year). Many thanks to Jerome Conin , part of the SAP Mobile Experience team which is working to get the most out of this technology in work environments. SAP and Apple are close partners (we use a lot of Apple products and Apple uses SAP Business Technology Platform for innovation among other things) and so our dev

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Microsoft Reveals How Hackers Are Using GenAI Tools

Analytics Vidhya

Microsoft, in collaboration with OpenAI, has revealed a concerning trend in the realm of cybersecurity: the utilization of generative artificial intelligence (GenAI) by hostile states for offensive cyber operations. Highlighting the involvement of countries such as Iran, North Korea, Russia, and China, Microsoft sheds light on the evolving landscape of cyber warfare.

Analytics 367
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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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The OpenAI Endgame

O'Reilly on Data

Since The New York Times sued OpenAI for infringing its copyrights by using Times content for training, everyone involved with AI has been wondering about the consequences. How will this lawsuit play out? And, more importantly, how will the outcome affect the way we train and use large language models? There are two components to this suit. First, it was possible to get ChatGPT to reproduce some Times articles, very close to verbatim.

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SAP names Philipp Herzig as chief artificial intelligence officer

CIO Business Intelligence

SAP is reorganizing its AI activities. Philipp Herzig, formerly head of cross-product engineering and experience, now leads a new “end-to-end growth area” focused on AI as the company’s chief artificial intelligence officer (CAIO). Herzig now reports directly to CEO Christian Klein, and will oversee the entire value chain for SAP business AI from research and product development through to implementation at the customer.

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Semantic Layers are the Missing Piece for AI-Enabled Analytics

KDnuggets

Integrating a semantic layer with Language Learning Models (LLMs) presents a clean solution to this, particularly in the realm of AI chatbots. This combination empowers businesses to generate fast responses and reports based on their data. Leveraging AI and semantic layers is advancing business intelligence, making it easier than ever for people to interact with data.

Analytics 134
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Google Introduces Gemini 1.5: The Next Evolution in AI Models

Analytics Vidhya

Google continues its stride in AI development with the introduction of Gemini 1.5, the latest iteration in its Gemini family of GenAI models. Following closely on the heels of Gemini 1.0, launched just a few months ago, this new model promises significant enhancements in performance, efficiency, and capabilities. Let’s delve deeper into what Gemini 1.5 […] The post Google Introduces Gemini 1.5: The Next Evolution in AI Models appeared first on Analytics Vidhya.

Modeling 318
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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.

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Generative AI use cases for the enterprise

IBM Big Data Hub

Remember how cool it felt when you first held a smartphone in your hand? The compact design and touch-based interactivity seemed like a leap into the future. Before long, smartphones became a way of life for organizations worldwide because of all they offer for business productivity and communication. Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating.

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From fear to abundance: Rethinking job security in the age of generative AI

CIO Business Intelligence

By Chet Kapoor, Chairman & CEO at DataStax Along with the exciting possibilities of generative AI (genAI), there have been concerns around job (in)security and displacement. Leaders are feeling the pressure to implement genAI quickly and automate as much as possible. Some will see this as an opportunity to “get lean” and reduce headcount. Others will keep the people they have and find new ways to become super efficient.

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Generative AI Playground: Text-to-Image Stable Diffusion with Stability AI, Stable Diffusion XL, and CompVis on the Latest Intel® GPU

KDnuggets

Stable Diffusion models are revolutionizing digital artistry, transforming mere text into stunning, lifelike images. Explore further here.

Modeling 140
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Python Modulo Operator: Common Errors and How to Use

Analytics Vidhya

Introduction Python stands out for its simplicity, versatility, and power in the realm of programming languages. The modulo operator (%) holds a special place among its myriad built-in operators, offering a convenient means to calculate remainders and perform cyclic operations. However, despite its apparent simplicity, mastering the modulo operator can be a stumbling block for […] The post Python Modulo Operator: Common Errors and How to Use appeared first on Analytics Vidhya.

Analytics 317
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Why You’re Not Ready for Knowledge Graphs!

Ontotext

In the UK, there’s an old saying “Don’t wear your coat indoors, or you won’t feel the benefit when you go out”. In the same way, it’s good to know what you need to have in place to feel all the benefits knowledge graphs can bring. Based on our experience, we’ve found that there are some common stumbling blocks. Let’s have a look at those. Why You need to make sure the people in your organization know the why of the knowledge graph project.

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5 key metrics for IT success

CIO Business Intelligence

IT leaders are drowning in metrics, with many finding themselves up to their KPIs in a seemingly bottomless pool of measurement tools. The result is wasted time, confusion, and, in some cases, conflicting insights. There are several important metrics that can be used to achieve IT success, says Jonathan Nikols, senior vice president of global enterprise sales for the Americas at Verizon.

Metrics 140
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Master The Art Of Command Line With This GitHub Repository

KDnuggets

Whether you are a beginner or an experienced user, this guide is perfect for familiarizing yourself with basic and advanced command line tools.

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OpenAI Unveils Sora: Text-to-Video AI Model for 1-Minute Videos

Analytics Vidhya

OpenAI has introduced Sora, an innovative AI model that can generate one-minute videos from simple text prompts. This advancement in AI technology sparks excitement and concerns simultaneously as it demonstrates remarkable capabilities in video generation. Sora’s Impressive Features OpenAI’s latest creation, Sora, stands out for its ability to produce minute-long videos with impressive realism solely […] The post OpenAI Unveils Sora: Text-to-Video AI Model for 1-Minute Videos a

Modeling 311
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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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How Gupshup built their multi-tenant messaging analytics platform on Amazon Redshift

AWS Big Data

Gupshup is a leading conversational messaging platform, powering over 10 billion messages per month. Across verticals, thousands of large and small businesses in emerging markets use Gupshup to build conversational experiences across marketing, sales, and support. Gupshup’s carrier-grade platform provides a single messaging API for 30+ channels, a rich conversational experience-building tool kit for any use case, and a network of emerging market partnerships across messaging channels, device man

Analytics 108
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Henkel embraces gen AI as enabler and strategic disruptor

CIO Business Intelligence

Four years ago, German multinational Henkel found itself at a crossroads. Like many incumbents in the consumer packaged goods (CPG) industry, Henkel was slow to embrace digital technologies, resulting in a widening disconnect between the 147-year-old company and the changing needs of its customers. As Henkel CDIO Michael Nilles puts it, by 2019, Marc Andreessen’s pronouncement that “software is eating the world” had come true for the CPG sector, and Henkel was at risk of falling behind.

B2B 138
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Synthetic Data for Machine Learning

KDnuggets

You don't always have high-quality labeled datasets for supervised machine learning. Learn about why you should augment your real data with synthetic data as well as the ways to generate it.

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Andrej Karpathy Leaves OpenAI

Analytics Vidhya

Andrej Karpathy, a founding member of OpenAI and a prominent figure in the field of artificial intelligence (AI) has left the company for good. His sudden departure has garnered attention across various social media platforms. His decision to leave the company has sparked discussions about his future endeavors and the impact on OpenAI’s ongoing projects. […] The post Andrej Karpathy Leaves OpenAI appeared first on Analytics Vidhya.

Analytics 302
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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics: Part 2

AWS Big Data

Monitoring data pipelines in real time is critical for catching issues early and minimizing disruptions. AWS Glue has made this more straightforward with the launch of AWS Glue job observability metrics , which provide valuable insights into your data integration pipelines built on AWS Glue. However, you might need to track key performance indicators across multiple jobs.

Metrics 105
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How strategic partnerships are the key to AI-driven innovation

CIO Business Intelligence

“Innovate or die,” Peter Drucker’s 1985 exhortation on the importance of constant reinvention, was great business advice for the last 40 or so years. But things have gotten a little more complicated now, as the large-scale roll-out of generative artificial intelligence (GenAI) has introduced the need for a multidisciplinary approach to innovation. Today, it is not enough just to innovate within one’s own vertical; to truly exploit the power of GenAI to transform workflows and drive competitive a

Strategy 138
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Free Data Engineering Course for Beginners

KDnuggets

Interested in data engineering but don't know where to start? Get up to speed in data engineering fundamentals with this free course.

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Top 10 Artificial Intelligence Stocks to Invest in 2024

Analytics Vidhya

Introduction Investing in artificial intelligence (AI) stocks presents both exciting opportunities and unique challenges. AI technology has the capacity to revolutionize various sectors, attracting investors keen on capitalizing on its transformative potential. However, it’s crucial to recognize the associated risks and conduct thorough research before venturing into this dynamic market.

Marketing 304
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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.