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 157
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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 119
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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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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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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.

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 376
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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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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 124
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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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Google Issues High-Risk Privacy Alert for Android and iPhone Users

Analytics Vidhya

As smartphones have become indispensable in our daily lives, concerns about privacy and security risks associated with their usage have intensified. Recently, Google has issued a privacy warning for both Android and iPhone users, shedding light on potential vulnerabilities linked to the utilization of Artificial Intelligence (AI) in smartphone applications.

Risk 317
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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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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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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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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Meta’s V-JEPA: Revolutionizing Video Understanding in AI

Analytics Vidhya

Meta continues its stride towards human-like machine intelligence with the release of the Video Joint Embedding Predictive Architecture (V-JEPA) model. This innovative step aims to enhance machines’ comprehension of the world by analyzing intricate interactions within videos. Moreover, it aligns with the vision of Meta’s VP & Chief AI Scientist, Yann LeCun, to develop advanced […] The post Meta’s V-JEPA: Revolutionizing Video Understanding in AI appeared first on Anal

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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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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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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Reducing defects and downtime with AI-enabled automated inspections

IBM Big Data Hub

A large, multinational automobile manufacturer responsible for producing millions of vehicles annually, engaged with IBM to streamline their manufacturing processes with seamless, automated inspections driven by real-time data and artificial intelligence (AI). As an automobile manufacturer, our client has an inherent duty to provide high-quality products.

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Bubble Chart in Python

Analytics Vidhya

Introduction A bubble chart is a type of data visualization that displays data points as bubbles on a two-dimensional graph. Each bubble represents a data point, and its size and color can be used to convey additional information. In this article, we will explore the benefits of using bubble charts in data visualization and learn […] The post Bubble Chart in Python appeared first on Analytics Vidhya.

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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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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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 129
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Enhance data security and governance for Amazon Redshift Spectrum with VPC endpoints

AWS Big Data

Many customers are extending their data warehouse capabilities to their data lake with Amazon Redshift. They are looking to further enhance their security posture where they can enforce access policies on their data lakes based on Amazon Simple Storage Service (Amazon S3). Furthermore, they are adopting security models that require access to the data lake through their private networks.

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Getter and Setter in Python

Analytics Vidhya

Introduction Getters and setters are essential to object-oriented programming (OOP) in Python. They provide a way to encapsulate data and control access to it. In this article, we will explore what getters and setters are, their benefits, and how to implement them in Python. We will also discuss best practices, provide examples, compare them with […] The post Getter and Setter in Python appeared first on Analytics Vidhya.

Analytics 305
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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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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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3 Research-Driven Advanced Prompting Techniques for LLM Efficiency and Speed Optimization

KDnuggets

This article has explored three promising prompting techniques that have been developed to reduce the occurrence of hallucinations in large language models.

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Customer service vs customer experience: Key differentiators

IBM Big Data Hub

In many organizations, but not all, customer service is treated as part of the customer experience. Both are interested in driving customer satisfaction, but they focus on different parts of the customer journey to achieve it. So what are the key differences in customer service vs. customer experience? And why do both matter for your business? Customer experience , or CX, is a holistic accounting of customers’ perceptions resulting from all their interactions with a business or brand, whet

Metrics 95
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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 306
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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.