Towards AI

JANUARY 24, 2024

Last Updated on January 25, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, Meta’s AI strategy was in focus, with Mark Zuckerberg boasting of Meta’s GPU hoard and outlining his open-source-focused AI vision.

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Large Language Models LLM AI AI 105

Unite.AI

AUGUST 21, 2024

Black Door Technology is your boutique AI strategy firm, challenging executives to consider more potential futures for their businesses. Unlike humans, who naturally integrate information from multiple senses, AI's effectiveness hinges on the data it receives. What should companies consider when developing a robust AI strategy?

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AI Strategy Computer Vision Natural Language Processing Large Language Models 130

Snorkel AI

JUNE 12, 2023

They used a very standard model and a decoding algorithm so simple they named it “Stupid Backoff” 1. Better data almost always has a greater impact than fancier models or algorithms in AI—and yet, data development has always been undersupported by AI formalisms and technology. The key differentiator?

Data Platform 145

Data Platform Large Language Models Software Development ChatGPT 145

Snorkel AI

JUNE 12, 2023

They used a very standard model and a decoding algorithm so simple they named it “Stupid Backoff” 1. Better data almost always has a greater impact than fancier models or algorithms in AI—and yet, data development has always been undersupported by AI formalisms and technology. The key differentiator?

Data Platform 141

Data Platform Large Language Models Software Development ChatGPT 141

AI Impacts

JULY 20, 2023

I collected my favorite public pieces of research on AI strategy, governance, and forecasting from 2023 so far. May) Current approaches to building general-purpose AI systems tend to produce systems with both beneficial and harmful capabilities. Perhaps the most important question in AI strategy is what should AI labs do?

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AI Strategy Neural Network AI AI 100

AWS Machine Learning Blog

MAY 9, 2024

These encompass a holistic approach, covering data governance, model development, ethical deployment, and ongoing monitoring, reinforcing the organization’s commitment to responsible and ethical AI/ML practices. They need to partner with the procurement team to develop a selection, onboarding, management, and exit framework.

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Pickl AI

NOVEMBER 3, 2023

Artificial Intelligence (AI) has gone beyond science fiction. Forecasts indicate that during the next five years, the global algorithmic trading market is expected to increase at a consistent rate of 8.53%. One can not overstate the value of AI in this scenario. AI has advanced significantly in finance markets.

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Artificial Intelligence Artificial Intelligence Algorithm AI 52

ODSC - Open Data Science

MARCH 5, 2024

The Evolution of AI Investment The journey of AI from theoretical research to a core driver of technological innovation has been marked by significant milestones. Factors influencing VC decisions include the startup’s technological edge, market size, team expertise, scalability, and responsible AI practices.

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Data Science Machine Learning Responsible AI NLP 52

Kavita Ganesan

JUNE 28, 2022

In fact, Gartner’s research shows that only 53% of AI initiatives make it from prototype to production. 3 Accountable AI will gain steam With all the Facebook drama and regulations around AI still being limited and “in the talks”, more and more businesses are becoming aware of the problems with algorithms.

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Data Scientist AI AI Algorithm 52

Pickl AI

OCTOBER 3, 2024

Risk Reduction Building AI solutions in-house carries inherent risks, especially for organisations lacking extensive experience in AI development. Improved Data Insights AI models can analyse large volumes of data quickly and accurately, providing insights that may not be easily obtainable through traditional analytical methods.

AI Modeling 52

AI Modeling Natural Language Processing Artificial Intelligence Artificial Intelligence 52

DataRobot Blog

FEBRUARY 15, 2023

DataRobot provides a leaderboard showing results from different experiments, including a diverse range of algorithms, preprocessing, and feature engineering. The algorithm blueprint, including all steps taken, can be viewed for each item on the leaderboard.

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Data Scientist Data Drift Automation AI 52

AI News

SEPTEMBER 5, 2024

The treaty acknowledges the potential benefits of AI – such as its ability to boost productivity and improve healthcare – whilst simultaneously addressing concerns surrounding misinformation, algorithmic bias, and data privacy. Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

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Big Data Responsible AI AI AI 319

Marktechpost

MARCH 22, 2024

At the heart of these different software projects were algorithms based on Mathematical Programming, Simulation, and Heuristics, as well as AI models based on ML and generative AI. Despite all the hype around AI and Data, many organizations (outside of the software industry) struggle to implement a successful AI strategy.

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Data Scientist Python Algorithm AI 132

Unite.AI

JULY 25, 2024

In another case , an AI recruiting tool down-ranked women applicants by associating gender-related terminology with underqualified candidates. The algorithm amplified hiring biases at scale by absorbing historical data. Such real world examples underscore the existential risks for global organizations deploying unchecked AI systems.

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AI AI Automation Algorithm 162

IBM Journey to AI blog

AUGUST 15, 2023

AI is being implemented in key workflows like talent acquisition and retention, customer service, and application modernization, especially paired with other technologies like virtual agents or chatbots. What are foundation models and how are they changing the game for AI?

Artificial Intelligence 234

Artificial Intelligence Artificial Intelligence Natural Language Processing AI 234

Kavita Ganesan

NOVEMBER 8, 2022

Years ago, we had to develop a single specialized model for every task that we were looking to solve with AI. We needed the training data, the appropriate ML algorithm, and a data scientist. So it essentially democratizes AI development and makes it less time-consuming. Is this too good to be true?

Large Language Models 52

Large Language Models ML Neural Network Data Scientist 52

Unite.AI

NOVEMBER 26, 2024

AI can “intelligently” analyze large-scale data batches at faster speeds than traditional methods, which is critical for training the machine learning algorithms that are foundational for advanced cancer testing and monitoring tools.

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Algorithm AI Strategy Big Data AI Tools 306