IBM Journey to AI blog

FEBRUARY 23, 2024

Natural language generation (NLG) complements this by enabling AI to generate human-like responses. NLG allows conversational AI chatbots to provide relevant, engaging and natural-sounding answers. Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development.

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Conversational AI Chatbots NLP AI 263

IBM Journey to AI blog

JULY 19, 2023

The industry is under tremendous pressure to accelerate drug development at an optimal cost, automate time- and labor-intensive tasks like document or report creation to preserve employee morale, and accelerate delivery. Why IBM Consulting for generative AI on AWS?

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Generative AI Large Language Models AI AI 161

Unite.AI

JANUARY 30, 2024

Moreover, nations must keep up with the rapid pace of AI development, the uneven distribution of AI resources, and the diverse views of AI stakeholders. Nations are pursuing Sovereign AI with different models and strategies tailored to their unique motivations, goals, approaches, and challenges.

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AI AI Artificial Intelligence Artificial Intelligence 182

IBM Journey to AI blog

APRIL 18, 2024

By using complex AI algorithms and computer science methods, these AI systems can then generate human-like text, translate languages with impressive accuracy, and produce creative content that mimics different styles. This gap highlights the vast difference between current AI and the potential of AGI.

Neural Network 239

Neural Network LLM AI AI 239

Viso.ai

NOVEMBER 19, 2023

Many businesses are exploring and investing in AI solutions to stay competitive and enhance their business processes. This is because AI has the ability to automate tasks and processes that would otherwise not be possible or carried out by humans. The pricing is available upon request, and it does not come with a free trial.

Computer Vision 97

Computer Vision Natural Language Processing Machine Learning Deep Learning 97

Pickl AI

NOVEMBER 3, 2023

Discover how Artificial Intelligence (AI) is altering the stock trading sector. This article explores the emergence, development, and benefits of AI in the stock market, including data-driven insights and automated decision-making It emphasizes how AI can forecast market trends and patterns using historical data and in-the-moment analysis.

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Artificial Intelligence Artificial Intelligence Algorithm AI 52

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

IBM Journey to AI blog

AUGUST 7, 2023

Provides timely information that enables proactive evidence-based decision-making enabling minor course corrections with larger impact, such as adjusting strategies, allocating resources to ensure a clinical trial stays on track, thus helping to maximize the success of the trial.

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AI AI Algorithm Artificial Intelligence 149

Kavita Ganesan

OCTOBER 21, 2022

A Twitter bot is essentially a Twitter account controlled by software automation rather than an actual human. This will help us all see how to handle similar challenges when deploying AI in our organizations. Data Data is often a big reason why AI models fail. So, what’s this Twitter bot thing?

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ML Machine Learning AI Strategy Continuous Learning 52

IBM Journey to AI blog

MAY 9, 2023

It provides self-service access to high-quality, trustworthy data, enabling users to collaborate on a single platform where they can build and refine both new, generative AI foundation models as well as traditional machine learning systems. Watsonx.governance can help build the necessary guardrails around AI tools and the uses of AI.

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Data Scientist Automation AI AI 274

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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Responsible AI Explainability Automation Explainable AI 130

AI Weekly

MAY 9, 2024

io In the News OpenAI takes steps to boost AI-generated content transparency OpenAI is joining the Coalition for Content Provenance and Authenticity (C2PA) steering committee and will integrate the open standard’s metadata into its generative AI models to increase transparency around generated content. Powered by ai4.io

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Robotics Artificial Intelligence Artificial Intelligence Neural Network 204

IBM Journey to AI blog

JULY 10, 2023

However, to achieve this transformation successfully, it is crucial to incorporate a hybrid cloud management platform that prioritizes AI-infused automation. Start with a platform-centric approach Standardization is crucial for organizations looking to automate and modernize.

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IBM Journey to AI blog

JULY 17, 2023

IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. ” Romain Gaborit, CTO, Eviden, an ATOS business “We’re looking at the potential usage of Large Language Models. .”

Machine Learning 168

Machine Learning AI AI Automation 168

Kavita Ganesan

SEPTEMBER 9, 2022

As this was an automation problem relating to data, the product manager (PM) immediately concluded that this was a machine learning problem. The PM then “hired” the company’s data science team to build ML models to solve the problem. We’re not talking about getting into AI model development.

Data Scientist 52

Data Scientist AI Strategy Software Engineer AI 52

DataRobot Blog

FEBRUARY 15, 2023

In this example, we take a deep dive into how real estate companies can effectively use AI to automate their investment strategies. We also look at how collaboration is built into the core of the DataRobot AI platform so that your entire team can collaborate from business use case to model deployment.

Data Scientist 52

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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