IBM Journey to AI blog

JULY 17, 2023

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. Enterprise organizations (many of whom have already embarked on their AI journeys) are eager to harness the power of generative AI for customer service.

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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

APRIL 9, 2024

This allows the Masters to scale analytics and AI wherever their data resides, through open formats and integration with existing databases and tools. “Hole distances and pin positions vary from round to round and year to year; these factors are important as we stage the data.” ” Watsonx.ai

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John Snow Labs

FEBRUARY 29, 2024

Generative AI in healthcare is a transformative technology that utilizes advanced algorithms to synthesize and analyze medical data, facilitating personalized and efficient patient care. Initially its applications were modest focusing on tasks like pattern recognition in imaging and data analysis.

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IBM Journey to AI blog

SEPTEMBER 6, 2023

But it was made considerably easier this year by IBM’s new AI and data platform, watsonx. If you’ve been watching the US Open on TV, or in person, you may have seen the ads: “Multiply the power of AI with watsonx.” IBM has infused the US Open app with AI for nearly a decade.

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IBM Journey to AI blog

APRIL 24, 2024

Large language models (LLMs) may be the biggest technological breakthrough of the decade. As generative AI applications become increasingly ingrained in enterprise IT environments, organizations must find ways to combat this pernicious cyberattack. For example, the remoteli.io

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IBM Journey to AI blog

DECEMBER 8, 2023

The hybrid cloud approach is complemented by the IBM Edge Application Manager, enabling OEMs to scale and operate edge solutions autonomously, along with the IBM Embedded Automotive Platform, a Java runtime optimized for in-vehicle use.

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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

DECEMBER 18, 2023

For organizations of all types—and especially those in highly regulated industries such as financial services, government, healthcare and telco—considerations including the rise of generative AI, evolving regulations and data sovereignty laws and ongoing security challenges must be top of mind.

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TheSequence

JUNE 18, 2023

📝 Editorial: Yann LeCun's Vision Starts Materializing With all the hype surrounding generative AI, we sometimes overlook the thrilling advancements in other areas of the deep learning ecosystem. OctoML launched OctoAI , a platform for running, tuning and scaling generative AI models.

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TheSequence

JUNE 19, 2023

In this guest post, Alex Ranter, CEO and co-founder of Snorkel, highlights the importance of data-centric operations in AI development and emphasizes the need for customized models based on enterprise-specific data.

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NVIDIA

DECEMBER 11, 2023

These target companies include Ayar Labs, specializing in chip-to-chip optical connectivity, and Hugging Face, a hub for advanced AI models. The portfolio also includes next-generation enterprise solutions. Other notable companies are Recursion, Kore.ai Consumer services are another investment focus.

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AWS Machine Learning Blog

AUGUST 4, 2023

We’re excited to announce Amazon SageMaker and Salesforce Data Cloud integration. With this capability, businesses can access their Salesforce data securely with a zero-copy approach using SageMaker and use SageMaker tools to build, train, and deploy AI models.

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IBM Journey to AI blog

AUGUST 1, 2023

As enterprises embrace generative AI to drive innovation, the combination of IBM’s AI stack, industry expertise and infrastructure can help them on their journeys. IBM also recently unveiled watsonx , our next-generation AI and data platform to help enterprises train, validate and deploy AI models.

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ODSC - Open Data Science

OCTOBER 20, 2023

Building and Deploying a Gen AI App in 20 Minutes Nick Schenone | Pre-Sales MLOps Engineer | Iguazio Building your own Generative AI application can be quite difficult. In this session, we’ll demonstrate how you can fine-tune a Gen AI model, build a Gen AI application, and deploy it in 20 minutes.

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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. Most experts categorize it as a powerful, but narrow AI model.

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IBM Journey to AI blog

AUGUST 1, 2023

True to their name, generative AI models generate text, images, code , or other responses based on a user’s prompt. But what makes the generative functionality of these models—and, ultimately, their benefits to the organization—possible?

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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.

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Snorkel AI

JULY 14, 2023

In addition to the latest release of Snorkel Flow, we recently introduced Foundation Model Data Platform that expands programmatic data development beyond labeling for predictive AI with two core solutions: Snorkel GenFlow for building generative AI applications and Snorkel Foundry for developing custom LLMs with proprietary data.

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Snorkel AI

JULY 14, 2023

In addition to the latest release of Snorkel Flow, we recently introduced Foundation Model Data Platform that expands programmatic data development beyond labeling for predictive AI with two core solutions: Snorkel GenFlow for building generative AI applications and Snorkel Foundry for developing custom LLMs with proprietary data.

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IBM Journey to AI blog

FEBRUARY 19, 2024

Data products can also be created for wider external consumption across multiple organizations and ecosystems. When data is shared externally to achieve strategic and financial benefits, it is referred to as external data monetization.

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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.

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IBM Journey to AI blog

SEPTEMBER 7, 2023

Today we are announcing our latest addition: a new family of IBM-built foundation models which will be available in watsonx.ai , our studio for generative AI, foundation models and machine learning. Collectively named “Granite,” these multi-size foundation models apply generative AI to both language and code.

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AWS Machine Learning Blog

AUGUST 4, 2023

After you create the API, we recommend registering the model endpoint in Salesforce Einstein Studio. For instructions, refer to Bring Your Own AI Models to Salesforce with Einstein Studio The following diagram illustrates the solution architecture. JWT can be used as a part of OpenID Connect (OIDC) and OAuth 2.0

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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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AI News

SEPTEMBER 26, 2023

Tools like Predictions put marketers at the centre of this new era of AI which is transforming how companies engage and retain their customers.” – Chris Koehler, CMO at Box. AN: What other emerging AI trends should people be keeping an eye on? Here are four trends in AI personalisation.

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IBM Journey to AI blog

AUGUST 3, 2023

In our hundreds of generative AI engagements with clients around the world, enterprises are trying to balance massive value creation with risk mitigation—and they face a shortage of the necessary “AI for business” skills.

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IBM Journey to AI blog

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. ” Romain Gaborit, CTO, Eviden, an ATOS business “We’re looking at the potential usage of Large Language Models. .”

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IBM Journey to AI blog

SEPTEMBER 20, 2023

Foundational models (FMs) are marking the beginning of a new era in machine learning (ML) and artificial intelligence (AI) , which is leading to faster development of AI that can be adapted to a wide range of downstream tasks and fine-tuned for an array of applications. IBM watsonx consists of the following: IBM watsonx.ai

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IBM Journey to AI blog

OCTOBER 20, 2023

You can connect to the existing database, upload a data file, anonymize columns and generate as much data as needed to address data gaps or train classical AI models. AI platforms can generate content and assist with various tasks, such as crafting marketing emails and creating customer personas.

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IBM Journey to AI blog

DECEMBER 20, 2023

With IBM® watsonx.ai ™ AI studio, developers can manage ML algorithms and processes with ease. offers teams advanced data generation and classification features that help businesses leverage data insights for optimal real-world AI performance.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

Together, Principal and AWS have built data ingestion pipelines for customer email interactions and additional metadata from their customer data platform, and built data aggregation and analytics mechanisms to combine omnichannel data into a single customer insight lens.

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AWS Machine Learning Blog

OCTOBER 20, 2023

Recent developments in generative AI models have further sped up the need of ML adoption across industries. However, implementing security, data privacy, and governance controls are still key challenges faced by customers when implementing ML workloads at scale.

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Marktechpost

JULY 17, 2023

It is impossible to completely substitute accurate data because precise, accurate data are still needed to generate practical synthetic examples of the information. How Important Is Synthetic Data? AI models are typically more accurate when they have more varied training data. Edgecase.ai

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IBM Journey to AI blog

JULY 27, 2023

Precisely conducted a study that found that within enterprises, data scientists spend 80% of their time cleaning, integrating and preparing data , dealing with many formats, including documents, images, and videos. Overall placing emphasis on establishing a trusted and integrated data platform for AI.

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AWS Machine Learning Blog

NOVEMBER 27, 2023

SageMaker Canvas also enables you to understand your predictions using feature importance and SHAP values, making it straightforward for you to explain predictions made by ML models. SageMaker Canvas allows you to bring ML models built anywhere and generate predictions directly in SageMaker Canvas.

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