IBM Journey to AI blog

SEPTEMBER 20, 2023

Few technologies have taken the world by storm the way artificial intelligence (AI) has over the past few years. AI and its many use cases have become a topic of public discussion no longer relegated to tech experts. AI’s value is not limited to advances in industry and consumer products alone.

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AWS Machine Learning Blog

DECEMBER 5, 2024

As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society.

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AWS Machine Learning Blog

MARCH 10, 2025

This capability allows developers to build, deploy, and manage networks of AI agents that work together to execute complex, multi-step workflows efficiently. Generative AI is no longer just about models generating responses, its about automation. What is multi-agent collaboration?

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IBM Journey to AI blog

FEBRUARY 26, 2024

Accelerating AI adoption and skills for the telecoms sector The AI skills gap is very real: executives estimate that 40% of their workforce will need to reskill as a result of implementing AI and automation over the next three years. The telecom industry is no exception. We hope you’ll join us at booth #2H20.

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IBM Journey to AI blog

FEBRUARY 13, 2024

Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating. Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.”

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Unite.AI

DECEMBER 6, 2024

He leads a team focused on delivering Postgres-based analytics and AI solutions. Why is Postgres increasingly becoming the go-to database for building generative AI applications, and what key features make it suitable for this evolving landscape? At the fundamental level, your data quality is your AI differentiator.

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IBM Journey to AI blog

NOVEMBER 10, 2023

When combined with artificial intelligence (AI), an interoperable healthcare data platform has the potential to bring about one of the most transformational changes in history to US healthcare, moving from a system in which events are currently understood and measured in days, weeks, or months into a real-time inter-connected ecosystem.

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IBM Journey to AI blog

SEPTEMBER 6, 2023

Generative AI is powering a new world of creative, customized communications, allowing marketing teams to deliver greater personalization at scale and meet today’s high customer expectations. Enterprise marketing teams stand to benefit greatly from generative AI, yet introduction of this capability will require new skills and processes.

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IBM Journey to AI blog

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics. What is watsonx.data?

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Unite.AI

JANUARY 20, 2025

Noah Nasser is the CEO of datma (formerly Omics Data Automation), a leading provider of federated Real-World Data platforms and related tools for analysis and visualization. Can you explain how datma.FED utilizes AI to revolutionize healthcare data sharing and analysis?

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IBM Journey to AI blog

AUGUST 7, 2024

In the year since we unveiled IBM’s enterprise generative AI (gen AI) and data platform, we’ve collaborated with numerous software companies to embed IBM watsonx™ into their apps, offerings and solutions. Like many of our partners, TruGolf is processing a wealth of data.

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IBM Journey to AI blog

AUGUST 13, 2024

While the growing popularity of consumer AI chatbots have led many companies to recently enter the artificial intelligence (AI) space, IBM’s journey with AI has been decades in the making. In the following two decades, IBM continued to advance AI with research into machine learning, algorithms, NLP and image processing.

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Unite.AI

FEBRUARY 21, 2025

While traditional PIM systems are effective for centralizing and managing product information, many solutions struggle to support complex omnichannel strategies, dynamic data, and integrations with other eCommerce or data platforms, meaning that the PIM just becomes another data silo.

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IBM Journey to AI blog

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

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IBM Journey to AI blog

JUNE 19, 2024

According to research from IBM ®, about 42 percent of enterprises surveyed have AI in use in their businesses. Of all the use cases, many of us are now extremely familiar with natural language processing AI chatbots that can answer our questions and assist with tasks such as composing emails or essays.

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IBM Journey to AI blog

DECEMBER 5, 2023

As the retail industry witnesses a shift towards a more digital, on-demand consumer base, AI is becoming the secret weapon for retailers to better understand and cater to this evolving consumer behavior. Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content.

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IBM Journey to AI blog

AUGUST 17, 2023

Year after year, IBM Consulting works with the United States Tennis Association (USTA) to transform massive amounts of data into meaningful insight for tennis fans. This year, the USTA is using watsonx , IBM’s new AI and data platform for business. As play progresses, a further 2.7

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IBM Journey to AI blog

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

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IBM Journey to AI blog

AUGUST 31, 2023

Conversational search uses generative AI to free up human authors from writing and updating answers manually; this accelerates time to value and decreases the total cost of ownership of virtual assistants. Stay tuned for more updates on IBM watsonx Assistant’s generative AI capabilities.

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IBM Journey to AI blog

APRIL 9, 2024

Through a partnership spanning more than 25 years, IBM has helped the Augusta National Golf Club capture, analyze, distribute and use data to bring fans closer to the action, culminating in the AI-powered Masters digital experience and mobile app.

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IBM Journey to AI blog

FEBRUARY 19, 2024

Data monetization empowers organizations to use their data assets and artificial intelligence (AI) capabilities to create tangible economic value. This value exchange system uses data products to enhance business performance, gain a competitive advantage, and address industry challenges in response to market demand.

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IBM Journey to AI blog

AUGUST 2, 2023

This type of customer care was a process that could certainly be automated. Lack of automation also raised the issue that digital customer care was bound within specified hours. That was, until the introduction of AI chatbots for business emerged on the IT landscape. Li Qiang, IT Platforms Executive of ENN Group Co.

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IBM Journey to AI blog

DECEMBER 8, 2023

But what exactly defines a SDV, and what is the architectural foundation behind the car that provides connectivity, automation and personalization? The SDV separates hardware from software, allowing for updates and upgrades, automation or autonomy and constant connectivity.

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IBM Journey to AI blog

JUNE 21, 2023

And this year, Wimbledon is tapping into the power of generative AI, producing new digital experiences on the Wimbledon app and website using IBM’s new trusted AI and data platform, watsonx. For AI Commentary, the team drew source material from nearly 130 million documents.

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IBM Journey to AI blog

JUNE 8, 2023

Successful businesses are embracing the power of AI to help streamline operations, generate insights, boost productivity and drive more value for clients. However, for many enterprises, the barrier to entry for integrating trustworthy, scalable and transparent AI remains high.

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Unite.AI

SEPTEMBER 10, 2024

What inspired you to co-found Encord, and how did your experience in particle physics and quantitative finance shape your approach to solving the “data problem” in AI? Encord's vision is to be the foundational platform that enterprises rely on to transform their data into functional AI models.

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IBM Journey to AI blog

OCTOBER 14, 2024

Data’s the gas that makes the AI engines hum. And many companies aren’t taking full advantage of the treasure trove of unstructured data at their fingertips because they’re not sure how to fill the tank. “Most data being generated every day is unstructured and presents the biggest new opportunity.”

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IBM Journey to AI blog

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy. Why does AI need an open data lakehouse architecture?

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IBM Journey to AI blog

AUGUST 22, 2024

For more than three decades, teams of developers and data scientists from IBM Consulting® have collaborated with the United States Tennis Association (USTA) to provide an engaging digital experience for US Open tennis fans. The generative AI system After that process is complete, the generative AI system creates pre-match bullet points.

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IBM Journey to AI blog

AUGUST 1, 2023

We’re delighted about the recent expansion of IBM and Adobe’s dynamic partnership to help brands transform their content supply chains using generative AI. IBM Consulting provides the expertise to effectively implement design and creative generative AI models in a scaleable, secure and governed way for the enterprise.

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IBM Journey to AI blog

JULY 17, 2023

While traditional AI approaches provide customers with quick service, they have their limitations. Currently chat bots are relying on rule-based systems or traditional machine learning algorithms (or models) to automate tasks and provide predefined responses to customer inquiries.

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IBM Journey to AI blog

JULY 27, 2023

.” As artificial intelligence reshapes business, Watson’s advice still applies: A recent study by the IBM Institute for Business Value (IBV) finds that 75% of CEOs surveyed believe their competitive advantage will depend on who has the most advanced generative AI.

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IBM Journey to AI blog

AUGUST 17, 2023

IBM iX , the experience design arm of IBM Consulting, and IBM’s AI consultants work with the United States Tennis Association (USTA) to integrate technology from dozens of partners, automate key business processes and develop new features. It’s a relationship that goes much deeper than courtside logo placement.

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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. What is watsonx.ai? IBM watsonx.ai

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IBM Journey to AI blog

SEPTEMBER 27, 2023

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content. FLAN-T5, launched by Google AI, can handle more than 1,800 diverse tasks.

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IBM Journey to AI blog

JUNE 12, 2023

A long-standing partnership between IBM Human Resources and IBM Global Chief Data Office (GCDO) aided in the recent creation of Workforce 360 (Wf360), a workforce planning solution using IBM’s Cognitive Enterprise Data Platform (CEDP). What is data quality? First they need to know if the data is accurate.

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IBM Journey to AI blog

DECEMBER 15, 2023

The use of artificial intelligence (AI) has the potential to remake how every department in an organization operates, but the changes might be most powerful in customer support. For example, organizations are now infusing their chatbots (or bots) with generative AI to increase the success rate of interactions.

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