• Not Every Data Problem Requires Artificial Intelligence.🔍
• Why AI Isn't the Answer to Every Data Problem🔍
• AI Needs Data More Than Data Needs AI🔍
• Food for Thought🔍
• [D] What are issues in AI/ML that no one seems to talk about?🔍
• It's not AI that's the problem🔍
• Gen AI can be the answer to your data problems — but not all of them🔍
• If given enough data to learn from and time to process it all🔍

Not Every Data Problem Requires Artificial Intelligence. - ML Sense

Not all problems require Artificial Intelligence, anyway. There are problems that can be solved with traditional programming, regular expression, SQL and there ...

Why AI Isn't the Answer to Every Data Problem - Mind Foundry

Before adopting AI, it's vital to establish the nature of your problems and the data involved and to work out whether AI is actually the ...

AI Needs Data More Than Data Needs AI - Forbes

While data plays a foundational role in AI, the reverse is not true. Data doesn't inherently need AI to exist or be valuable. Data, in various ...

Food for Thought: No Data, No AI? - Tealium

In other words, without data, there is no AI. To examine this assumption in more detail, HotTopics in partnership with Tealium, welcomed leading ...

[D] What are issues in AI/ML that no one seems to talk about? - Reddit

Efficient machine learning - with respect to both energy and data requirements - is really under appreciated in my opinion. People do plenty of ...

It's not AI that's the problem, it's the data. | by Tyna Hope - Medium

I think that there is a fundamental lack of understanding around AI. More and more non-technical people understand that models are the basic ...

Gen AI can be the answer to your data problems — but not all of them

Generative AI can solve a litany of data challenges — filling gaps, extracting information from documents, and improving data quality — but ...

If given enough data to learn from and time to process it all, can an ...

Therefore, Artificial Intelligence is not based on natural laws of intelligence. As a consequence, AI is not intelligent by itself, by which AI ...

There Is No AI Without Data - Communications of the ACM

Artificial intelligence (AI) has evolved from hype to reality over the past few years. Algorithmic advances in machine learning and deep ...

Artificial Intelligence and the Bad Data Problem - The Fedeli Group

If you use bad data as the source information for your AI tools, AI will inherit it and output variations of that bad data. AI-generated bad ...

AI is only as good as the data: Q&A with Satish Jayanthi of Coalesce

AI systems obey the golden rule: garbage in, garbage out, Want good results, feed it good data. ... With all the talk about the power of AI and ...

Not every data driven problem is a machine learning problem

Not a single article on artificial intelligence (AI) or machine learning (ML) can pass without this type of statement. It kind of implies that ...

The problem with AI: It's not you, it's the data | ZDNET

The survey identified three obstacles to effective AI implementations: Lack of a cohesive, centralized data strategy, weak data verification, and lack of ...

Find the AI Approach That Fits the Problem You're Trying to Solve

Yes, AI can help explore, predict, optimize, and recommend. But not every problem is an AI problem. “I don't need a generative AI strategy. What ...

Can AI Solve Underlying Data Problems?

Just because you can teach computers to help normalize data does NOT mean they can do the cleanup from years of bad habits. · Think of where you' ...

AI is Not a Panacea: The Fallacy of the 'Solve-Everything' Algorithm

It can only address the problems for which it has been specifically programmed and trained with relevant data. I acknowledge the fact that AI ...

All-powerful, ever-pervasive AI is running out of internet - The Week

Artificial intelligence (AI) has relied on high-quality language data to train its models, but supply is running low.

Artificial Intelligence: Agencies Have Begun Implementation but ...

Without accurate inventories, the government's management of its use of AI will be hindered by incomplete and inaccurate data. Federal agencies ...

AI has huge potential – but it won't solve all our problems

AI systems need a lot of data to function. But the public sector typically does not have the appropriate data infrastructure to support advanced ...

No, Machine Learning is not just glorified Statistics | by Joe Davison

Information theory, in general, requires a strong understanding of data and probability, and I would certainly advise anyone interested in ...