Sat.Apr 06, 2024 - Fri.Apr 12, 2024

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Intel Challenges Nvidia Dominance with New Gaudi 3 AI Chip

Analytics Vidhya

Intel has unveiled its latest AI hardware, the Gaudi 3 chip, at the recent Vision event. The launch marks a significant move in Intel’s battle against Nvidia’s dominance in the semiconductor industry, especially in AI. This announcement comes amidst the increasing demand for AI chips, while tech giants are seeking alternatives to address the scarcity […] The post Intel Challenges Nvidia Dominance with New Gaudi 3 AI Chip appeared first on Analytics Vidhya.

Analytics 268
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The future of application delivery starts with modernization

IBM Big Data Hub

IDC estimates that 750 million cloud native will be built by 2025. Where and how these applications are deployed will impact time to market and value realization. The reality is that application landscapes are complex, and they challenge enterprises to maintain and modernize existing infrastructure, while delivering new cloud-native features. Three in four executives reported disparate systems in their organizations and that a lack of skills, resources and common operational practices challenge

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Quality Assurance, Errors, and AI

O'Reilly on Data

A recent article in Fast Company makes the claim “ Thanks to AI, the Coder is no longer King. All Hail the QA Engineer.” It’s worth reading, and its argument is probably correct. Generative AI will be used to create more and more software; AI makes mistakes and it’s difficult to foresee a future in which it doesn’t; therefore, if we want software that works, Quality Assurance teams will rise in importance.

Testing 192
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Salesforce Wants Everyone to be an Einstein with AI

David Menninger's Analyst Perspectives

I recently attended the Salesforce Trailblazer DX event to learn more about Salesforce’s artificial intelligence products and strategy. Fueled by generative AI, awareness and investment in AI seems to be exploding. ISG research shows that enterprises plan to nearly triple the portion of budgets allocated to AI over the next two years. This doesn’t come as a big surprise when you look at the outcomes enterprises are achieving: Of those that have invested in AI, more than 8 in 10 (84%) have had po

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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, CTO of Betterworks, will explore a practical framework to transform Generative AI prototypes into

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10 GitHub Repositories to Master Python

KDnuggets

Learn Python through tutorials, blogs, books, project work, and exercises. Access all of it on GitHub for free and join a supportive open-source community.

IT 140
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Regulation remains the strongest multiplier to cybersecurity growth

CIO Business Intelligence

In 2023, the United Arab Emirates actively repelled more than 50.000 cyberattacks daily, explained the UAE Cybersecurity Council. In the first three quarters of the same year, the country successfully prevented over 71 million attempted attacks in total. According to a report from Frost & Sullivan, the GCC cybersecurity industry continues to grow, with F&S estimating it to triple in value by 2030 to reach 13.4 billion USD, countries like the UAE and Saudi Arabia continue to reduce their

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Revolutionizing Renault: AI's Impact on Supply Chain Efficiency

Dataiku

This blog post is a translation of Republik Supply’s article, “ L’intelligence artificielle irrigue les décisions de la supply chain de Renault.” The Renault Group is building a platform with Dataiku that will enable AI solutions to be developed faster and more simply, in order to democratize the use of AI in the supply chain and maximize its benefits.

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How Knowledge Graphs Power Data Mesh and Data Fabric

Ontotext

The data ecosystem today is crowded with dazzling buzzwords, all fighting for investment dollars. A survey in 2021 found that a data company was being funded every 45 minutes. Data ecosystems have become jungles and in spite of all the technology, data teams are struggling to create a modern data experience. This is a “ Datastrophe “ Data managed correctly can turn assets into actionable insights, left unmanaged it can be the uranium, causing massive damage to enterprises with data a

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Best BI Tools Examples for 2024: Business Intelligence Software

FineReport

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making. The latest trends in business intelligence are reshaping the way organizations utilize data to gain a strategic advantage.

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Elon Musk Predicts AI will be Smarter than Humans by Next Year

Analytics Vidhya

Elon Musk has been making headlines again! During a recent interview on X Spaces (his platform for discussing all things space and beyond), the he dropped a prediction about Artificial General Intelligence (AGI). Musk claims AGI could be surpassing human intelligence within the next two years! Master of Making Bold Statements Musk has a history […] The post Elon Musk Predicts AI will be Smarter than Humans by Next Year appeared first on Analytics Vidhya.

Analytics 324
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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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Webinar Summary: Agile, DataOps, and Data Team Excellence

DataKitchen

The hosted by Christopher Bergh with Gil Benghiat from DataKitchen covered a comprehensive range of topics centered around improving the performance and efficiency of data teams through Agile and DataOps methodologies. Gil Benghiat, co-founder of Data Kitchen, began by explaining the overarching goal of achieving data team excellence, which involves delivering business value quickly and with high quality.

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AI Innovations in Data and Analytics at SAP

David Menninger's Analyst Perspectives

Data and analytics have become increasingly important to all aspects of business. The modern data and analytics stack includes many components, which creates challenges for enterprises and software providers alike. As my colleague Matt Aslett points out , a better term might be modern data and analytics smorgasbord. There are arguments for and against using an assortment of tools versus a consolidated platform.

Analytics 130
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AI poised to replace entry-level positions at large financial institutions

CIO Business Intelligence

Global banks and investment firms are currently mulling plans to replace entry-level financial analyst positions with artificial intelligence (AI), with as many as two-thirds of these positions potentially on the chopping block. This anticipated move could completely transform how these companies hire new employees and how they manage and deliver the technology employees use.

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Magna Teams Up with Sanctuary AI to Introduce Humanoid Robots into Manufacturing

Analytics Vidhya

Magna, teams up with Sanctuary AI to introduce humanoid robots into their manufacturing process. The post Magna Teams Up with Sanctuary AI to Introduce Humanoid Robots into Manufacturing appeared first on Analytics Vidhya.

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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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7 Steps to Mastering Data Engineering

KDnuggets

The only data engineering roadmap you need for an introduction to concepts, tools, and techniques to collect, store, transform, analyze, and model data.

Modeling 125
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Uplevel your data architecture with real- time streaming using Amazon Data Firehose and Snowflake

AWS Big Data

Today’s fast-paced world demands timely insights and decisions, which is driving the importance of streaming data. Streaming data refers to data that is continuously generated from a variety of sources. The sources of this data, such as clickstream events, change data capture (CDC), application and service logs, and Internet of Things (IoT) data streams are proliferating.

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Inferencing holds the clues to AI puzzles

CIO Business Intelligence

Inferencing has emerged as among the most exciting aspects of generative AI large language models (LLMs). A quick explainer: In AI inferencing , organizations take a LLM that is pretrained to recognize relationships in large datasets and generate new content based on input, such as text or images. Crunching mathematical calculations, the model then makes predictions based on what it has learned during training.

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Implementing CI/CD with Jenkins for Flask Application Deployment

Analytics Vidhya

Introduction As AI technologies continue to grow and the software development landscape constantly changes, it is critical that software be developed quickly, reliably, and of high quality. In order to satisfy these requirements, continuous integration (CI) and continuous deployment (CD), have become critical methods. While CD automates the deployment process, CI automates the integration and […] The post Implementing CI/CD with Jenkins for Flask Application Deployment appeared first on An

Software 289
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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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7 Things Students Are Missing in a Data Science Resume

KDnuggets

Adding these 7 key elements to your resume will improve your odds of getting an interview call. Remember, after graduating from the university, your full-time job is to find a job, so put some effort into preparing your resume.

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Achieve near real time operational analytics using Amazon Aurora PostgreSQL zero-ETL integration with Amazon Redshift

AWS Big Data

“Data is at the center of every application, process, and business decision. When data is used to improve customer experiences and drive innovation, it can lead to business growth,” – Swami Sivasubramanian , VP of Database, Analytics, and Machine Learning at AWS in With a zero-ETL approach, AWS is helping builders realize near-real-time analytics. Customers across industries are becoming more data driven and looking to increase revenue, reduce cost, and optimize their business operations by impl

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10 highest-paying IT skills for 2024

CIO Business Intelligence

IT has always been known as a lucrative industry for job seekers, but in the past year, with increased layoffs, some of that confidence has wavered. According to a report from Indeed , a large part of this shift has come as organizations focus more on adopting AI in the workplace. As a result, AI skills are now among the most sought-after skills, even as companies retrench via layoffs.

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Alternative of Midjourney is here, Meet Imagen 2

Analytics Vidhya

Introduction Which AI tool do you use to generate images? Is it MidJourney? What if I tell you there is a better alternative to it? Recently, Google launched Imagen 2, boasting the most advanced text-to-image diffusion technology. This innovative tool produces high-quality outputs closely aligned with the user’s prompts. Unlike traditional methods, Imagen 2 leverages […] The post Alternative of Midjourney is here, Meet Imagen 2 appeared first on Analytics Vidhya.

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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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The Case of Homegrown Large Language Models

KDnuggets

Recent developments in building large language models (LLMs) to boost generative AI in local languages have caught everyone’s attention. This post focuses on the needs and challenges of homegrown LLMs amid the fast-evolving technology landscape.

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Merging top-down and bottom-up planning approaches

IBM Big Data Hub

This blog series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. The first post of this series addressed the challenges of the energy transition with holistic grid asset management. The second post in this series addressed the integrated asset management platform and data exchange that unite business disciplines in different domains in one network.

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Oracle makes its pitch for the enterprise cloud. Should CIOs listen?

CIO Business Intelligence

In a cloud market dominated by three vendors, once cloud-denier Oracle is making a push for enterprise share gains, announcing expanded offerings and customer wins across the globe, including Japan , Mexico , and the Middle East. But with Amazon Web Services (31%), Microsoft Azure (24%), and Google Cloud Platform (11%) accounting for two thirds of the worldwide market, according to Synergy Research Group, Oracle Cloud Infrastructure (OCI) remains distantly behind the behemoths, leaving many to

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AI Luminary Andrew Ng Joins Amazon’s Board

Analytics Vidhya

Amazon has appointed Andrew Ng, a prominent figure in artificial intelligence (AI), to its board. This signals the escalating competition among tech giants in the field of generative AI (GenAI). Ng comes with great expertise in the field, honed through his roles at Google and Baidu. His addition to the board looks promising as Amazon […] The post AI Luminary Andrew Ng Joins Amazon’s Board appeared first on Analytics Vidhya.

Analytics 283
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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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The AI Transformation Strategy in the GenAI Era

KDnuggets

Similar to the iterative nature of AI projects, AI strategy also requires continuous adjustments to bring successful AI transformation.

Strategy 107
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How the Masters uses watsonx to manage its AI lifecycle

IBM Big Data Hub

At the Masters®, storied tradition meets state-of-the-art technology. Through a partnership spanning more than 25 years, IBM has helped the Augusta National Golf Club capture, analyze, distribute and use data to bring fans closer to the action, culminating in the AI-powered Masters digital experience and mobile app. Now, whether they’re lining the fairways or watching from home, fans can more fully appreciate the performance of the world’s best golfers at the sport’s most

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Seekr finds the AI computing power it needs in Intel’s cloud

CIO Business Intelligence

For IT leaders, the question of where to run AI workloads and how to do so affordably are fast becoming top of mind — especially at scale. But for Rob Clark, president and CTO of AI developer Seekr, such questions are business-critical. Seekr’s main business is building and training AIs that are transparent to enterprise and other users. The company needs massive computing power with CPUs and GPUs that are optimized for AI development, says Clark, adding that Seekr looked at the infrastructure i

IT 119
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Here are 9 Must Need Machine Learning Tools for Your ML Project

Analytics Vidhya

Introduction Machine learning is a rapidly growing field that is transforming industries across sectors. It enables computers to learn from data and make predictions or decisions without being explicitly programmed. Many tools and libraries have emerged as machine learning applications expand to help developers build and deploy machine learning models.

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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.