IBM Journey to AI blog

JUNE 23, 2023

As you encounter new generative AI solutions and unique AI foundation models for F&A, you may find yourself overwhelmed by all the options. What is generative AI, what are foundation models, and why do they matter? Figure 3 highlights ancillary benefits that conversational AI technology provides.

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IBM Journey to AI blog

JULY 17, 2023

Generative AI has the potential to significantly disrupt customer care, leveraging large language models (LLMs) and deep learning techniques designed to understand complex inquiries and offer to generate more human-like conversational responses.

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IBM Journey to AI blog

JULY 12, 2023

In less than a year, we’ve gone from the “run your business and apply AI to help” paradigm to a reality where enterprises in every industry are navigating how to embed AI into the fabric of their strategies. Generative AI based on foundation models has brought us to this inflection point.

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IBM Journey to AI blog

DECEMBER 4, 2023

IBM can help insurance companies insert generative AI into their business processes IBM is one of a few companies globally that can bring together the range of capabilities needed to completely transform the way insurance is marketed, sold, underwritten, serviced and paid for.

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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

DECEMBER 7, 2023

There is no question that customer service is about to take a massive leap forward, thanks to emerging trends like artificial intelligence (AI). Undoubtedly, the future of customer service must be AI-based for organizations to improve the customer experience and increase customer loyalty.

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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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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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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 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

MAY 21, 2024

As Victor Orta, Sevilla FC Sporting Director, explained at his conference during the World Football Summit in 2023: “We are never going to sign a player with data alone, but we will never do it without resorting to data either. In fact, paperwork is a much more significant part of the job than one might imagine.

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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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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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IBM Journey to AI blog

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. And you should have experience working with big data platforms such as Hadoop or Apache Spark. Your skill set should include the ability to write in the programming languages Python, SAS, R and Scala.

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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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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. 20212022: Transformer-based models took center stage, with GPT-3 driving conversations around text generation.

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AWS Machine Learning Blog

FEBRUARY 27, 2024

Axfood has a structure with multiple decentralized data science teams with different areas of responsibility. Together with a central data platform team, the data science teams bring innovation and digital transformation through AI and ML solutions to the organization.

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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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IBM Journey to AI blog

SEPTEMBER 20, 2023

To help with all this, IBM is offering enterprises the necessary tools and capabilities to leverage the power of these FMs via IBM watsonx , an enterprise-ready AI and data platform designed to multiply the impact of AI across an enterprise. IBM watsonx consists of the following: IBM watsonx.ai

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Unite.AI

FEBRUARY 21, 2024

For users who are unfamiliar with Airflow, can you explain what makes it the ideal platform to programmatically author, schedule and monitor workflows? Apache Airflow is an open-source platform for developing, scheduling, and monitoring batch-oriented workflows.

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Unite.AI

OCTOBER 23, 2024

Persado’s Motivation AI Platform is highlighted for its ability to personalize marketing content. Can you explain how the platform uses generative AI to understand and leverage customer motivation? It’s a component with a stack of data, machine learning, and a response feedback loop.

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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. Databricks offers an industry-leading data platform for machine learning, while Cohere provides enterprise automation through AI.

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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.

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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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TransOrg Analytics

APRIL 21, 2024

Gen AI Applications and Use Cases in Banking & Financial Services Generative AI tools are pioneering innovative breakthroughs and represent the convergence of machine learning and creativity, empowering machines to generate content independently. What is Generative AI?

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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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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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ODSC - Open Data Science

MARCH 8, 2024

Embedding is essential for generative AI and RAG (retrieval-augmented generation) because it allows the models to access and compare external knowledge sources with the user input and generate more accurate and reliable outputs. To achieve this result, we will need an LMM to process the user’s input.

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AWS Machine Learning Blog

AUGUST 4, 2023

Use the Salesforce Einstein Studio API for predictions Salesforce Einstein Studio is a new and centralized experience in Salesforce Data Cloud that data science and engineering teams can use to easily access their traditional models and LLMs used in generative AI.

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The MLOps Blog

OCTOBER 3, 2023

You can explain, “Hey, this is the logic of the function, this is what the terms mean, etc. ML platform at Mailchimp and generative AI use cases Aurimas: Before joining FeatureForm as the head of MLOps, you were a machine learning operations engineer at Mailchimp, and you were helping to build the ML platform there, right?

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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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ODSC - Open Data Science

MARCH 18, 2025

As a key architect of Browns data science masters program, he shapes the next generation of AI leaders, teaching core courses and mentoring students in cutting-edge research on missing data, interpretability, and machine learning pipelines.

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AWS Machine Learning Blog

AUGUST 6, 2024

Originating from advancements in artificial intelligence (AI) and deep learning, these models are designed to understand and translate descriptive text into coherent, aesthetically pleasing music. Generative AI models are revolutionizing music creation and consumption.

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Marktechpost

NOVEMBER 1, 2024

AnswerRocket enables organizations to make well-informed decisions quickly and confidently by combining data from several data sources and offering clear visualizations. It provides comprehensive third-party tool integrations, natural language reporting, and automatic summaries of important data elements.

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IBM Journey to AI blog

AUGUST 4, 2023

It’s often described as a way to simply increase data access, but the transition is about far more than that. When effectively implemented, a data democracy simplifies the data stack, eliminates data gatekeepers, and makes the company’s comprehensive data platform easily accessible by different teams via a user-friendly dashboard.

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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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