AI Society

12 New Jobs For The Generative AI Era

When any major new technology grabs the headlines, talk quickly turns to jobs. And so it is with generative AI. How will generative AI affect jobs? What’s the potential scale of job displacement? I’ve written extensively on this subject, but what I’d really like to emphasize in this article is the potential for generative AI to create entirely new jobs.

Rather than replace human workers, generative AI is going to create a new need for skilled workers – professionals with the ability to manage and get the best out of generative AI. What might those jobs look like? Here’s a list of emerging roles related to generative AI.

Read more here: https://www.forbes.com/sites/bernardmarr/2024/01/23/12-new-jobs-for-the-generative-ai-era/?sh=17a6aa5f6a8d

12 New Jobs For The Generative AI Era Discover the 12 new job roles emerging in the generative AI era, from AI Prompt Engineers to AI Personality Designers, highlighting the shift from AI.

AI, XR and Data: Manufacturing Technology Predictions for 2024

If we’re finished with the hype cycle, we’re probably talking about a technology that’s here to stay. So, when IndustryWeek asks manufacturers and analysts for their predictions about manufacturing technology in the coming year, we’re looking for the most mature technologies with the widest adoption rates.

This year’s answers demonstrate the point yet again. Of the dozen technologies we asked about, artificial intelligence (AI), augmented/virtual/mixed reality (XR for short) and the use of data and analytics garnered the most response. Manufacturers next year really should keep their eyes on these three technologies in 2024.

Read more here: https://www.industryweek.com/technology-and-iiot/article/21279764/ai-xr-and-data-manufacturing-technology-predictions-for-2024

AI, XR and Data: Manufacturing Technology Predictions for 2024 The three technologies manufacturers will most likely employ next year.

Top 5 Sectors To Invest In 2024

The year 2024 presents an intriguing landscape of opportunities across various sectors in the capital markets. The technology sector is at the forefront of these, with artificial intelligence (AI) leading the charge. This sector's rapid innovation and integration into diverse industries make it a compelling choice for investors seeking growth and transformational potential. Following closely is the healthcare sector, positioned at number two, which continues to evolve with advancements in medical technologies and an increasing focus on personalized medicine. The industrial sector claims the third spot, driven by advancements in automation and smart manufacturing processes, highlighting its crucial role in the modern economy.

Read more here : https://www.forbes.com/sites/investor-hub/article/top-5-sectors-to-invest-2024/?sh=79945baf27b4

Top 5 Sectors To Invest In 2024 The year 2024 presents an intriguing landscape of opportunities across various sectors in the capital markets. Discover the top five sectors to watch this year.

What is the Best Language for Machine Learning? (December 2023)

If you are just getting started in the field of machine learning (ML), or if you are looking to refresh your skills, you might wonder which is the best language to use. Choosing the right machine learning language can be difficult, especially since there are so many great options.

There are an incredible 700+ programming languages in widespread use, and each has its own pros and cons. If you are just beginning your career as a machine learning engineer, with time you’ll discover which are the best programming languages for the specific business problems you are trying to solve.

Read more here : https://www.unite.ai/what-is-the-best-language-for-machine-learning/

What is the Best Language for Machine Learning? (December 2023) Artificial Intelligence What is the Best Language for Machine Learning? (December 2023) Updated on December 24, 2023 By Alex McFarland Table Of Contents If you are just getting started in the field of machine learning (ML), or if you are looking to refresh your skills, you might wonder which is the....

Gartner Identifies Top Trends Shaping the Future of Data Science and Machine Learning

Gartner, Inc. today highlighted the top trends impacting the future of data science and machine learning (DSML) as the industry rapidly grows and evolves to meet the increasing significance of data in artificial intelligence (AI), particularly as the focus shifts towards generative AI investments.

Read more here: https://www.gartner.com/en/newsroom/press-releases/2023-08-01-gartner-identifies-top-trends-shaping-future-of-data-science-and-machine-learning

Gartner Identifies Top Trends Shaping the Future of Data Science and Machine Learning Gartner today highlighted the top trends impacting the future of data science and machine learning (DSML) as the industry rapidly grows and evolves to meet the increasing significance of data in artificial intelligence.

Four trends that changed AI in 2023

Endless product launches, boardroom coups, intense policy debates, and a race to find the next big thing — it’s been a busy year.

This has been one of the craziest years in AI in a long time: endless product launches, boardroom coups, intense policy debates about AI doom, and a race to find the next big thing. But we’ve also seen concrete tools and policies aimed at getting the AI sector to behave more responsibly and hold powerful players accountable. That gives me a lot of hope for the future of AI.

Read more here : https://www.technologyreview.com/2023/12/19/1085696/four-trends-that-changed-ai-in-2023/

Four trends that changed AI in 2023 Endless product launches, boardroom coups, intense policy debates, and a race to find the next big thing — it’s been a busy year.

Exploring the Future of Artificial Intelligence — 8 Trends and Predictions for the Next Decade

As a technology enthusiast and business leader, I have been keenly observing the rapid growth and adoption of ChatGPT over the past few months. Keeping aside the debate around various moral dilemmas associated with artificial intelligence (AI) tools such as ChatGPT, all I can say at this point is that they are going to transform industries and revolutionize the way we live and work. At the risk of sounding a tad presumptuous, I believe AI is not going to replace humans — just like the internet never took over the human world despite so many people raising the alarm that it would.

Read more here : https://www.entrepreneur.com/science-technology/8-ai-trends-and-predictions-for-the-next-decade/455115

8 AI Trends and Predictions for the Next Decade | Entrepreneur The emerging trends that will shape the future of AI.

The Future Of Artificial Intelligence: Predictions And Trends

Can you picture a future where computers are capable of learning, reasoning and making decisions just like we humans do? This is becoming a reality with artificial intelligence (AI), and we need to prepare ourselves. By discussing the trends and predictions of AI, we can gain valuable insights into its potential implications. As the founder and CEO of MSM Digital, I have found new solutions on how our agency can operate at the forefront of innovation, leverage the transformative potential of AI, and drive tangible results for our diverse clientele. With a team of creative strategists, we have found AI to be beneficial in our operations not only to save time but also to help drive better results for our clients.

Read more here: https://www.forbes.com/sites/forbesagencycouncil/2023/09/11/the-future-of-artificial-intelligence-predictions-and-trends/?sh=71c9f0ad2393

Council Post: The Future Of Artificial Intelligence: Predictions And Trends AI has made an impact on marketing and will continue to do so as it grows to touch other industries.

Data science vs. machine learning: How are they different?

Data science and machine learning both play crucial roles in AI, but they have some key differences. Compare the two disciplines' goals, required skills and job responsibilities.

With the recent explosive growth of AI, two connected fields are seeing significant demand: data science and machine learning.

The global AI market's value is expected to reach nearly $2 trillion by 2030, and the need for skilled AI professionals is growing in pace. Data scientists and machine learning engineers play essential roles in building and working with AI systems and are behind some of the industry's most exciting developments.

Read more here : https://bit.ly/3N64Wlp

Data science vs. machine learning: How are they different? | TechTarget Explore the similarities and differences between data science vs. machine learning, two crucial and in-demand roles in the AI field.

Data science and artificial intelligence for defence organisations

Improving military capability and efficiency to maintain advantage in defence and security

As the rapid migration to digital technologies continues, organisations applying advanced analytics, artificial intelligence, cognitive services, machine learning, predictive- and pattern-based planning are driving better decisions, greater efficiency, and augmenting their workforces.

Read More Here: https://bit.ly/3FIqhNJ

Data science and artificial intelligence for defence organisations Using AI, automation and data science, we’re helping the armed forces to be more efficient and improve military capability.

The Future of Machine Learning: A New Breakthrough Technique

Computer Chip Artificial Intelligence Technology
Researchers have developed a technique called Meta-learning for Compositionality (MLC) that enhances the ability of artificial intelligence systems to make “compositional generalizations.” This ability, which allows humans to relate and combine concepts, has been a debated topic in the AI field for decades. Through a unique learning procedure, MLC showed performance comparable to, and at times surpassing, human capabilities in experiments. This breakthrough suggests that traditional neural networks can indeed be trained to mimic human-like systematic generalization.

Read more here: https://scitechdaily.com/the-future-of-machine-learning-a-new-breakthrough-technique/

The Future of Machine Learning: A New Breakthrough Technique Research shows new promise for “compositional generalization” Humans innately understand how to relate concepts; once they learn the notion of "skip," they instantly grasp what "skip twice around the room" or "skip with your hands up" entails. But are machines capable of this type of thinking? I

What's the Difference Between Natural Language Processing and Machine Learning?

These two terms are at the core of the generative AI revolution, but what do they mean, and how do they differ?

It's normal to think that machine learning (ML) and natural language processing (NLP) are synonymous, particularly with the rise of AI that generates natural texts using machine learning models. If you've been following the recent AI frenzy, you've likely encountered products that use ML and NLP.

Read more here: https://bit.ly/3Q57YqA

What's the Difference Between Natural Language Processing and Machine Learning? These two terms are at the core of the generative AI revolution, but what do they mean, and how do they differ?