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 142
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Trending Sources

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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 112
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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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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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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.

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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 354
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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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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 138
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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.

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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 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 301
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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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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 130
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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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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 298
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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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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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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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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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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 288
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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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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 133
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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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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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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 284
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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Microsoft invests €3.2 billion in AI and the cloud in Germany

CIO Business Intelligence

Microsoft will invest €3.2 billion in Germany by the end of 2025 to double the artificial intelligence and cloud capacities of its data centers there. The company also wants to train more than 1.2 million people in digital skills. Brad Smith, Vice Chair and President of Microsoft, said the aim is to enable the German economy to benefit from AI in order to continue to expand its leading global position in terms of competitiveness.

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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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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 99
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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.

Risk 278
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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.