Snorkel AI

JUNE 12, 2023

Developing this data for AI usage is often overlooked — but it is one of the most powerful ways to build an AI moat. Snorkel GenFlow: For programmatic curation, annotation, and management of instruction datasets for generative AI use cases (e.g., summarization, chat, Q&A, etc.).

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Data Platform Large Language Models Software Development ChatGPT 145

Snorkel AI

JUNE 12, 2023

Developing this data for AI usage is often overlooked — but it is one of the most powerful ways to build an AI moat. Snorkel GenFlow: For programmatic curation, annotation, and management of instruction datasets for generative AI use cases (e.g., summarization, chat, Q&A, etc.).

Data Platform 141

Data Platform Large Language Models Software Development ChatGPT 141

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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IBM Journey to AI blog

DECEMBER 4, 2023

Generative AI holds enormous potential for driving business growth. It offers ease of integration and scalability for analytics and AI workloads using your company’s data, and offers guardrails for ensuring governance, security and compliance.

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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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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

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

OCTOBER 22, 2024

Data is the differentiator as business leaders look to utilize their competitive edge as they implement generative AI (gen AI). Leaders feel the pressure to infuse their processes with artificial intelligence (AI) and are looking for ways to harness the insights in their data platforms to fuel this movement.

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Data Integration ETL Business Intelligence Data Quality 256

AWS Machine Learning Blog

APRIL 8, 2025

Integrating model deployment into the service development process was a key initiative to enable data scientists and ML engineers to deploy and maintain those models. The ML platform empowers the building and evolution of ML systems. The iFoods ML platform, ML Go!

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Machine Learning ML Auto-complete Data Scientist 103

Unite.AI

DECEMBER 6, 2024

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? companies adopting AI, these businesses require a foundational technology that will allow them to quickly and easily access their abundance of data and fully embrace AI.

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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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Data Platform Large Language Models AI Chatbots Chatbots 212

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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Machine Learning ML AI AI 250

AWS Machine Learning Blog

JULY 29, 2024

Using Amazon Bedrock, you can quickly experiment with and evaluate top FMs for your use case, privately customize them with your data using techniques such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that execute tasks using your enterprise systems and data sources.

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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. Every data interaction is auditable and compliant with regulatory standards like HIPAA. Cell-size restrictions prevent re-identification.

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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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Generative AI Automation Data Scientist Data Platform 243

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

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

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

APRIL 1, 2025

Generative AI has emerged as a powerful tool for content creation, offering several key benefits that can significantly enhance the efficiency and effectiveness of content production processes such as creating marketing materials, image generation, content moderation etc. The following diagram illustrates the workflow.

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LLM Data Scientist Data Science Generative AI 108

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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Automation Data Platform Software Development AI Engineer 214

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

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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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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AWS Machine Learning Blog

SEPTEMBER 12, 2024

As generative AI moves from proofs of concept (POCs) to production, we’re seeing a massive shift in how businesses and consumers interact with data, information—and each other. While these layers provide different points of entry, the fundamental truth is that every generative AI journey starts at the foundational bottom layer.

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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

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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Large Language Models DevOps Data Science AI Modeling 238

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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Unite.AI

JANUARY 22, 2025

Coming from those two backgrounds, it was very clear to me that the data and compute challenges were converging as the industry was moving towards more advanced applications powered by data and AI. Empowered AI systems will follow this approach, orchestrating multiple tools and components.

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IBM Journey to AI blog

JULY 3, 2024

By 2026, over 80% of enterprises will deploy AI APIs or generative AI applications. AI models and the data on which they’re trained and fine-tuned can elevate applications from generic to impactful, offering tangible value to customers and businesses.

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Data Quality Metadata Business Intelligence AI 112

IBM Journey to AI blog

SEPTEMBER 13, 2024

Over the past few years, Salesforce has made heavy investments in Data Cloud. Data Cloud works to unlock trapped data by ingesting and unifying data from across the business. This requires a thorough analysis of the data before ingestion in Data Cloud: Do you have the data points you need for personalization?

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Natural Language Processing AI AI Data Platform 122

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 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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AI AI Generative AI Data Platform 201

John Snow Labs

AUGUST 7, 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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ODSC - Open Data Science

MARCH 12, 2025

AI engineering extended this by integrating AI systems more deeply into software engineering pipelines, making it a crucial field as AI applications became more sophisticated and embedded in real-world systems. Takeaway: The industrys focus has shifted from building models to making them robust, scalable, and maintainable.

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Data Science ETL Machine Learning AI Engineer 52

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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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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