IBM Journey to AI blog

APRIL 11, 2023

It is important to choose an auditor that specializes in HR or Talent and trustworthy, explainable AI, and has RAII Certification and DAA digital accreditation. Learn more about an AI HR/Talent Strategy The post Global executives and AI strategy for HR: How to tackle bias in algorithmic AI appeared first on IBM Blog.

AI Strategy 277

AI Strategy Algorithm Automation AI 277

AssemblyAI

FEBRUARY 27, 2025

In our Assembly Required series , AssemblyAI founder and CEO Dylan Fox discussed the similar challenges that many companies face today, and leading AI founders gave their tips on making the right AI decisions for their unique needs.  In fact, the right AI vendors can help companies move faster to capitalize on this AI innovation.

Explainability 130

Explainability AI Strategy AI AI 130

Unite.AI

JULY 2, 2024

This adds a layer of complexity for AI systems that rely on automated processes and large-scale data analytics. The Impact on AI Strategies The EU AI Act and other privacy laws are not just legal formalities – they will reshape AI strategies in several ways.

AI Strategy 162

AI Strategy Explainability AI AI 162

AssemblyAI

FEBRUARY 6, 2025

  0:00 / 3:12 1× Ironclad founder and CEO Jason Boehmig also discusses how the AI strategy that initially sounds compelling isn’t always the right strategy to pursue.   Fireflies.ai

Explainability 130

Explainability AI AI AI Strategy 130

AI News

SEPTEMBER 16, 2024

Their AI strategies are reshaping the entire retail ecosystem—from Walmart’s blend of digital and physical shopping experiences to Amazon’s operational automation.” Concurrently, Amazon’s progress in AI for coding and surveillance is pushing the boundaries of enterprise AI applications and enhancing security capabilities.

Big Data 323

Big Data Automation AI AI 323

Flipboard

AUGUST 5, 2023

We play and assess clips of Amazon CEO Andy Jassy explaining the company’s AI strategy this week. We also discuss the history of AI usage by startups, and consider advice from investors and startup leaders at Seattle Tech Week for emerging tech companies looking to stand out with their own AI applications and solutions.

AI Strategy 121

AI Strategy Artificial Intelligence Artificial Intelligence Explainability 121

Flipboard

FEBRUARY 27, 2025

Then again, though, Recipes Time isn't designed to help provide useful information from real experts explaining how to install new shelves or cook a healthy dinner, for that matter. The AI-generated articles, he explains, are then published to a website featuring another fake author.

AI 182

AI AI Explainability ChatGPT 182

AI News

JULY 16, 2024

“Sizeable productivity growth has eluded UK workplaces for over 15 years – but responsible AI has the potential to shift the paradigm,” explained Daniel Pell, VP and country manager for UK&I at Workday. ” Despite the optimistic outlook, the path to AI adoption is not without obstacles.

Big Data 334

Big Data Responsible AI AI AI 334

Unite.AI

JANUARY 1, 2025

For example, an AI model trained on biased or flawed data could disproportionately reject loan applications from certain demographic groups, potentially exposing banks to reputational risks, lawsuits, regulatory action, or a mix of the three.

Explainable AI 140

Explainable AI AI AI Natural Language Processing 140

AI News

JUNE 13, 2024

. “Apple believes pushing OpenAI’s brand and technology to hundreds of millions of its devices is of equal or greater value than monetary payments,” Gurman’s sources explained. Apple’s AI strategy extends beyond OpenAI. NEW: Apple and OpenAI have been silent on the financial terms of their ChatGPT deal.

ChatGPT 242

ChatGPT OpenAI Big Data Chatbots 242

Unite.AI

OCTOBER 20, 2023

Promote AI transparency and explainability: AI transparency means it is easy to understand how AI models work and make decisions. Explainability means these decisions can be easily communicated to others in non-technical terms.

Responsible AI 283

Responsible AI Generative AI AI AI 283

Flipboard

APRIL 23, 2023

“We are all about investing in what drives the most impact and avoiding bloat wherever we can – that means integrating AI as an integral part of our process,” Dahan said. As agencies cut down on entry-level and analytics work, Dahan sees AI capable of freeing up “brain power” for their workforces.

AI Strategy 132

AI Strategy ChatGPT ESG Automation 132

AI News

JULY 16, 2024

“Sizeable productivity growth has eluded UK workplaces for over 15 years – but responsible AI has the potential to shift the paradigm,” explained Daniel Pell, VP and country manager for UK&I at Workday. ” Despite the optimistic outlook, the path to AI adoption is not without obstacles.

Big Data 244

Big Data Responsible AI AI AI 244

IBM Journey to AI blog

JULY 26, 2023

Before adopting AI into their processes, organizations must develop clear intentions for what responsible AI means to them, individually, and identify not only what they are willing to do, but what they are unwilling to do. As such, HR leaders cannot simply rely on data and AI to make decisions. HR leaders set the tone.

Auto-complete 188

Auto-complete Generative AI AI Strategy Responsible AI 188

Unite.AI

JANUARY 27, 2025

Despite the capabilities of AI, Woo emphasizes a human-in-the-loop approach to maintain quality and handle edge cases. AI allows you to scale up your best human judgment on an infinite volume of tasks, Woo explained. If youre not using AI agents like ours, youre falling behind.

Automation 130

Automation AI AI Artificial Intelligence 130

IBM Journey to AI blog

SEPTEMBER 6, 2023

According to the IBM survey, when CMOs were asked what they thought the primary challenges were in adopting generative AI, they listed three top concerns: managing the complexity of implementation, building the data set and brand and intellectual property (IP) risk. With the right generative AI strategy, marketers can mitigate these concerns.

Generative AI 325

Generative AI AI AI AI Tools 325

IBM Journey to AI blog

FEBRUARY 8, 2023

The True Cost of Noncompliance Responsible AI requires governance Despite good intentions and evolving technologies, achieving responsible AI can be challenging. AI requires AI governance , not after the fact but baked into AI strategy of your organization. So what is AI governance?

Responsible AI 130

Responsible AI Explainability Explainable AI Automation 130

IBM Journey to AI blog

MAY 9, 2023

Place trust at the core of your AI strategy Possibilities that we are only beginning to imagine will soon become commonplace as these new AI models dramatically impact how people interact with technology, changing not only how we do business, but how we think about business.

Data Scientist 276

Data Scientist Machine Learning Automation Metadata 276

NVIDIA

NOVEMBER 25, 2024

AI is changing industries and economies worldwide. Workforce development is central to ensuring the changes benefit all of us, as Louis Stewart, head of strategic initiatives for NVIDIA’s global developer ecosystem, explains in the latest AI Podcast. “AI AI is fueling a lot of change in all ecosystems right now,” Stewart said.

Explainability 124

Explainability AI AI AI Strategy 124

Flipboard

SEPTEMBER 5, 2023

Monica Livingston leads the AI Center for Excellence at Intel. In this video, she outlines the initial steps required to assess opportunity, gather resources, and deploy infrastructure when building a generative AI strategy.

Generative AI 81

Generative AI Explainability AI Strategy AI 81

IBM Journey to AI blog

OCTOBER 25, 2023

The tools in watsonx.governance will also help organizations efficiently drive responsible, transparent and explainable workflows across the business. As the capabilities and uses of generative AI accelerate, putting numbers to the benefits side of the ROI equation can be a challenge.

Generative AI 243

Generative AI Automation ESG AI 243

ODSC - Open Data Science

FEBRUARY 8, 2024

This is a recipe for developing a strategy for incorporating AI into products. An AI strategy is a framework that will help the organization understand what data-driven projects and data sources are the most valuable to the organization, and how to prioritize them to build toward their product vision over time.

AI Strategy 52

AI Strategy Data Science Data Scientist AI 52

ODSC - Open Data Science

MARCH 12, 2025

If it doesnt, explain why it wasnt the right fit at this time, reinforcing that the decision was thoughtful rather than dismissive. The Benefits of a Strategic Approach Handling AI requests strategically improves both team reputation and business outcomes. Transparency ensures stakeholders understand the rationale behind thechoice.

ML 52

ML Machine Learning AI AI 52

IBM Journey to AI blog

JUNE 17, 2024

There is an exciting canvas of opportunity ahead with generative AI: improving productivity across virtually every enterprise function, delivering exciting new kinds of customer experiences, and powering the development of new digital products and services—all underpinned by transformed technology delivery.

Generative AI 233

Generative AI AI AI AI Strategy 233

IBM Journey to AI blog

MARCH 4, 2024

Generative AI (gen AI) introduces transformative innovation to all aspects of a business; from the front to the back office, through ongoing technology modernization, and into new product and service development. We refer to this transformation as becoming an AI+ enterprise. This requires a holistic enterprise transformation.

AI 300

AI AI Artificial Intelligence Artificial Intelligence 300

AWS Machine Learning Blog

JANUARY 24, 2025

Amazon Bedrock has emerged as the preferred choice for tens of thousands of customers seeking to build their generative AI strategy. It offers a straightforward, fast, and secure way to develop advanced generative AI applications and experiences to drive innovation. Purchase provisioned throughput for the custom model.

Generative AI 113

Generative AI Explainability AI AI 113

Unite.AI

OCTOBER 25, 2024

Reply: EverythingAI TM ’s full lifecycle support is crafted to help organizations overcome AI adoption challenges, ensuring better outcomes in productivity, customer experience, decision-making, and business reimagination. Explainability & Transparency: The company develops localized and explainable AI systems.

Automation 147

Automation Explainability Responsible AI AI Automation 147

IBM Journey to AI blog

AUGUST 12, 2024

Compliance with these regulations involves providing clear explanations of AI model decisions, ensuring data privacy, and implementing safeguards against biases and discriminatory practices. Financial institutions must stay informed about evolving regulatory requirements and adapt their AI strategies accordingly.

Automation 159

Automation Generative AI AI AI 159

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.

Large Language Models 105

Large Language Models LLM AI AI 105

AWS Machine Learning Blog

FEBRUARY 27, 2024

Model explainability Model explainability is a pivotal part of ML deployments, because it ensures transparency in predictions. About the Authors Dr. Björn Blomqvist is the Head of AI Strategy at Axfood AB. For a detailed understanding, we use Amazon SageMaker Clarify.

Machine Learning 136

Machine Learning DevOps Data Scientist Data Quality 136

IBM Journey to AI blog

JUNE 28, 2023

Leveraging its genomics experience, IBM has published a whitepaper, Explainable AI reveals changes in skin microbiome composition linked to phenotypic differences , and has also invested in building an accelerator, to enable researchers to perform phenotype prediction from omics data (e.g.,

Data Analysis 186

Data Analysis Data Scientist Explainable AI AI Strategy 186

DataRobot Blog

MARCH 16, 2023

Next, when a business user starts to ask questions and analyze the insights, the DataRobot AI Platform dynamically surfaces the use case information, data, and models along with analysis generated using an Azure OpenAI model in order to generate text descriptions of the most key observations, and the interpretations of what they mean.

Data Science 98

Data Science OpenAI Data Scientist Large Language Models 98

IBM Journey to AI blog

JULY 19, 2023

But with great power comes great responsibility, and this is especially true for generative AI. Fairness : AI models should treat all groups equitably. IBM Consulting has the expertise and experience to support clients with varying degrees of maturity on their generative AI journey.

Generative AI 183

Generative AI Large Language Models AI AI 183

AWS Machine Learning Blog

MARCH 5, 2025

In this post, we explain how BMW uses generative AI technology on AWS to help run these digital services with high availability. Specifically, BMW uses Amazon Bedrock Agents to make remediating (partial) service outages quicker by speeding up the otherwise cumbersome and time-consuming process of root cause analysis (RCA).

Generative AI 106

Generative AI Machine Learning Data Scientist AI 106

Topbots

MARCH 21, 2025

Chain-of-Thought Prompting: Teaching LLMs to Think Step by Step One of the earliest and most enduring techniques to improve reasoning in LLMs is surprisingly simple: ask the model to explain itself. But new work in 2025 introduces backtracking a classic AI strategy now adapted to LLMs. Wang et al.

OpenAI 40

OpenAI Prompt Engineer Prompt Engineering AI 40

IBM Journey to AI blog

FEBRUARY 23, 2024

However, there are also potential challenges and limitations to consider: Data bias : AI models rely on data provided by humans, which can be biased in various ways. Ensuring fairness and inclusivity in conversational AI is crucial.

Conversational AI 291

Conversational AI NLP Chatbots AI 291

Unite.AI

JUNE 17, 2024

For organizations to ensure that AI augments rather than replaces human workers, they need to take a human-centric approach to AI implementation. This means putting people at the heart of their AI strategies and focusing on how the technology can empower and enhance human capabilities. One key aspect is job design.

Automation 147

Automation Artificial Intelligence Artificial Intelligence Generative AI 147