IBM Journey to AI blog

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. ML algorithms understand language in the NLU subprocesses and generate human language within the NLG subprocesses. Ensuring fairness and inclusivity in conversational AI is crucial.

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IBM Journey to AI blog

AUGUST 7, 2023

AI algorithms have the potential to surpass traditional statistical approaches for analyzing comprehensive recruitment data and accurately forecasting enrollment rates. Often larger or established teams shy away from integrating AI due to complexities in rollout and validation.

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AI AI Algorithm Artificial Intelligence 149

IBM Journey to AI blog

JULY 19, 2023

Accelerate mRNA medicines design : Moderna, which has been leveraging machine learning and AI to advance the field of messenger RNA (mRNA) to create a diverse clinical portfolio of vaccines and therapeutics across seven modalities, is partnering with IBM to leverage generative AI to design mRNA medicines with optimal safety and performance.

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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

Snorkel AI

JUNE 12, 2023

In 2007, Google researchers published a paper on a class of statistical language models they dubbed “large language models”, which they reported as achieving a new state of the art in performance. They used a very standard model and a decoding algorithm so simple they named it “Stupid Backoff” 1. The key differentiator?

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Data Platform Large Language Models Software Development ChatGPT 145

Snorkel AI

JUNE 12, 2023

In 2007, Google researchers published a paper on a class of statistical language models they dubbed “large language models”, which they reported as achieving a new state of the art in performance. They used a very standard model and a decoding algorithm so simple they named it “Stupid Backoff” 1. The key differentiator?

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Data Platform Large Language Models Software Development ChatGPT 141

AWS Machine Learning Blog

MAY 9, 2024

Benchmarking and metrics – Defining standardized metrics and benchmarking to measure and compare the performance of AI models, and the business value derived. Data governance Data governance is a crucial function of an AI/ML CoE, such as making sure data is collected, used, and shared in a responsible and trustworthy manner.

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ML Generative AI AI AI 106

Defined.ai blog

AUGUST 23, 2023

These are structured sets of data, neatly organized and formatted to be smoothly processed , especially by machine learning algorithms. How Marketing Data Influences AI Data is like the fuel that propels the AI engine. The answer lies in the heart of AI itself—Machine Learning (ML). How does Marketing Data influence AI?

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Mlearning.ai

JULY 22, 2023

Unlike cloud-based AI, which can be run on cloud servers from anywhere with an internet connection, Apple has resorted to on-device AI. This novel approach to deploying AI models involves running the AI on the device itself rather than a server or supercomputer.

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Chatbots ChatGPT AI AI 98

Viso.ai

NOVEMBER 19, 2023

Teams can rapidly build custom applications, integrate existing cameras, and always use the latest algorithms (e.g., It provides the device management, privacy/security capabilities, remote monitoring, and configuration management needed to operate AI vision at a large scale.

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IBM Journey to AI blog

FEBRUARY 8, 2023

Adherence to responsible artificial intelligence (AI) standards follows similar tenants. Gartner predicts that the market for artificial intelligence (AI) software will reach almost $134.8 AI requires AI governance , not after the fact but baked into AI strategy of your organization. billion by 2025.

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DataRobot Blog

FEBRUARY 15, 2023

These tools provide valuable information on the relationships between features and predictions, enabling data scientists to make informed decisions when fine-tuning and improving their models. 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

IBM Journey to AI blog

AUGUST 15, 2023

How companies use artificial intelligence in business Artificial intelligence in business leverages data from across the company as well as outside sources to gain insights and develop new business processes through the development of AI models. What are foundation models and how are they changing the game for AI?

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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. It is all about data, technologies, algorithms, testing, deployment, etc.

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