Back Issues This Week → Popular →

All issues › Archive

AI — Archive

1,803 articles · page 32 of 37

datanami, Thursday, August 31,2023

Top 10 In-Demand Genai Skills

Vol 305 · Issue 5 · 2023-08-31

AI skills are in high demand, as companies seek to leverage emerging tech like generative AI for competitive advantage. But what specific skills are the most in-demand? The folks at Upwork provided a clue.

more →
Top 10 In-Demand Genai Skills

insideBIGDATA, Wednesday, August 30,2023

LinkedIn Releases State of AI @ Work Report

Vol 305 · Issue 5 · 2023-08-30

LinkedIn's Economic Graph Research & Insights (EGRI) team released The Future of Work Report: AI at Work, a new quarterly report featuring current insights on the state of AI and the workforce, as well as analysis on how AI may impact how we work moving forward.

more →
LinkedIn Releases State of AI @ Work Report

StorageReview.com, Friday, August 25,2023

The AI Jargon Buster!

Vol 305 · Issue 4 · 2023-08-25

This glossary provides a solid starting point for understanding various AI-related terms. Keep in mind that AI is a rapidly evolving field, and new terms and concepts may emerge over time. It's essential to stay updated by referring to reputable sources and industry publications.

more →
The AI Jargon Buster!

IDC, Friday, August 25,2023

Planning For Success With Generative AI

Vol 305 · Issue 4 · 2023-08-25

Navigating the world of Generative AI requires an approach that encompasses responsible policies, sound data practices, technology understanding, a comprehensive view of use cases, and collaboration between IT and business leadership.

more →
Planning For Success With Generative AI

datanami, Thursday, August 24,2023

Genai Debuts Atop Gartner's 2023 Hype Cycle

Vol 305 · Issue 4 · 2023-08-24

Gartner released the 2023 version of its hype curve for emerging technology yesterday, and as expected, generative AI was given the most prominent seat, right at the peak of inflated expectations. But does GenAI have the legs to take itself into the techno promised land?

more →
Genai Debuts Atop Gartner's 2023 Hype Cycle

Solutions Review, Thursday, August 24,2023

AI-Based Red Teaming: Why Enterprises Need To Practice Now

Vol 305 · Issue 4 · 2023-08-24

In the dynamically changing world of cybersecurity, no one can afford to become complacent. As tech professionals, we understand this constant flux, watching as adversarial actors continually adapt their strategies and tools. We are stepping into an era where artificial intelligence (AI) is no longer a futuristic concept, but an active player in the cybersecurity landscape. This article aims to shed light on a significant aspect of AI in cybersecurity- its role in red team exercises.

more →
AI-Based Red Teaming: Why Enterprises Need To Practice Now

Solutions Review, Friday, August 18,2023

Generative AI: The Promise And The Pitfalls

Vol 305 · Issue 3 · 2023-08-18

As part of Solutions Review's Contributed Content Series-a collection of articles written by industry thought leaders in maturing software categories-Neil Serebryany, the CEO and Founder of CalypsoAI, outlines some of the promises and potential pitfalls of generative AI technology.

more →
Generative AI: The Promise And The Pitfalls

eWeek, Thursday, August 17,2023

Generative AI vs. AI

Vol 305 · Issue 3 · 2023-08-17

Artificial intelligence has the ability perform tasks that typically require human intelligence. Generative AI, in contrast, is a specific form of AI that is designed to generate content.

more →
Generative AI vs. AI

eWeek, Tuesday, August 15,2023

Risks Of Generative AI: 6 Risk Management Tips

Vol 305 · Issue 3 · 2023-08-15

Generative AI models are powerful tools that data scientists are using to create powerful results, from content creation to improved data analytics performance. Yet it's becoming apparent that many users are not aware of the risks of using generative AI.

more →
Risks Of Generative AI: 6 Risk Management Tips

eWeek, Wednesday, August 2,2023

The Pros And Cons Of Deep Learning

Vol 305 · Issue 1 · 2023-08-02

Deep learning is an advanced type of artificial intelligence that uses neural networks and complex algorithms to process big data and produce detailed and contextualized outputs, simulating the ways in which human brains process and share information.

more →
The Pros And Cons Of Deep Learning

SiliconANGLE , Saturday, July 29,2023

Five Best Practices To Capture AI Value

Vol 304 · Issue 4 · 2023-07-29

Artificial intelligence has the potential to create substantial business value for organizations, but AI teams often find it challenging to realize and communicate these benefits. In fact, Gartner research has found that difficulty measuring AI value and a lack of understanding around AI benefits and uses are top barriers to its implementation.

more →
Five Best Practices To Capture AI Value

IoT Agenda, Friday, July 28,2023

Artificial Intelligence Of Things (AIoT)

Vol 304 · Issue 4 · 2023-07-28

Artificial intelligence of things (AIoT) is the combination of artificial intelligence (AI) technologies and the internet of things (IoT) infrastructure. AIoT's goal is to create more efficient IoT operations, improve human-machine interactions and enhance data management and analytics.

more →
Artificial Intelligence Of Things (AIoT)

Continuity Central, Wednesday, July 26,2023

AI And Network Security: Balancing Efficiency And Risk

Vol 304 · Issue 4 · 2023-07-26

Artificial intelligence - as embedded within network security - plays a critical role in enabling organizations to stay cyber secure. In this interview security engineer Gergana Kungalova describes the network security problems that AI addresses and the risks involved in using AI within this area.

more →
AI And Network Security: Balancing Efficiency And Risk

Datamation, Wednesday, July 19,2023

What Is Machine Learning?

Vol 304 · Issue 3 · 2023-07-19

Machine learning is a subset of artificial intelligence (AI) that focuses on creating computers that simulate human thinking by using data models to recognize patterns and make predictions based upon those patterns.

more →
What Is Machine Learning?

TechTalks, Monday, July 17,2023

Why Data Contamination Is A Big Issue For LLMS

Vol 304 · Issue 3 · 2023-07-17

Since the release of ChatGPT-and even more so since GPT-4-I have seen a recurring pattern of hype and disappointment. First, a study claims that ChatGPT, GPT-4, or 'name your LLM' has passed or aced some difficult test designed for humans: the bar exam, math exams, MIT exams, coding competitions, comprehension tests, etc. And then, another study disproves the results of the previous study.

more →
Why Data Contamination Is A Big Issue For LLMS

The Next Platform, Friday, July 14,2023

Enterprises Are Not Going To Miss The Fourth Wave Of AI

Vol 304 · Issue 2 · 2023-07-14

IBM announced its Watsonx software development stack back in May, and today it is starting to ship it to customers. We wanted to know exactly what the heck it is. And so we reached out to Sriram Raghavan, vice president of AI strategy and roadmaps at IBM Research, to get a handle on what Watsonx is and why it will be important for the commercialization of large language models.

more →
Enterprises Are Not Going To Miss The Fourth Wave Of AI

SiliconANGLE , Thursday, July 13,2023

Stability AI Releases Sketch-To-Image Generative AI Tool

Vol 304 · Issue 2 · 2023-07-13

Stability AI Ltd. is adding to its arsenal of generative artificial intelligence tools with the launch of Stable Doodle today. The company said it's a sketch-to-image tool that works by converting simple sketches into more dynamic images, and it's aimed at everyone from creative professionals to hobbyist artists.

more →
Stability AI Releases Sketch-To-Image Generative AI Tool

eWeek, Wednesday, July 12,2023

Top 6 AI Trends 2023

Vol 304 · Issue 2 · 2023-07-12

Artificial intelligence trends continue to rapidly evolve, even though AI has now been around for decades. With the recent rapid growth in generative AI and AI-powered automation, AI evolution seems to be moving at double speed - or faster.

more →
Top 6 AI Trends 2023