Marktechpost

OCTOBER 21, 2024

Organizations require models that are adaptable, secure, and capable of understanding domain-specific contexts while also maintaining compliance and privacy standards. Traditional AI models often struggle with delivering such tailored performance, requiring businesses to make a trade-off between customization and general applicability.

AI Modeling 117

AI Modeling Large Language Models Natural Language Processing Inference Engine 117

Unite.AI

NOVEMBER 13, 2024

My experience as Director of Engineering at Hortonworks exposed me to a recurring theme: companies with ambitious data strategies were struggling to find stability in their data platforms, despite significant investments in data analytics. They couldn't reliably deliver data when the business needed it most.

Machine Learning 147

Machine Learning Large Language Models Data Quality Automation 147

IBM Journey to AI blog

JUNE 19, 2024

As an AI framework, RAG works to improve the quality of LLM-generated responses by grounding the model on sources of knowledge to supplement the LLM’s internal representation of information. IBM unveiled its new AI and data platform, watsonx™, which offers RAG, back in May 2023.

Generative AI 282

Generative AI Natural Language Processing Chatbots LLM 282

IBM Journey to AI blog

SEPTEMBER 6, 2023

For ESPN, it means using AI to help fantasy team managers make better decisions and field the best possible team, week after week. But it was made considerably easier this year by IBM’s new AI and data platform, watsonx. The ESPN partnership, on the other hand, has always been about AI-powered decision making.

Data Platform 212

Data Platform Large Language Models AI Chatbots Chatbots 212

IBM Journey to AI blog

SEPTEMBER 25, 2024

Human error : Manual data consolidation leads to misdiagnoses due to data fragmentation challenges. AI-driven data analysis reduces errors, helping ensure accurate diagnosis and resolution. Inconsistent data formats : Varying data formats make analysis difficult.

AI Strategy 316

AI Strategy Generative AI AI Large Language Models 316

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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Automation Data Platform Data Quality Explainability 130

Unite.AI

SEPTEMBER 10, 2024

Encord's vision is to be the foundational platform that enterprises rely on to transform their data into functional AI models. We are the layer between a company’s data and their AI. This data often lacks strong governance around it, limiting much of it from being used in AI systems.

Computer Vision 264

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IBM Journey to AI blog

SEPTEMBER 28, 2023

According to a recent IBV study , 64% of surveyed CEOs face pressure to accelerate adoption of generative AI, and 60% lack a consistent, enterprise-wide method for implementing it. For many businesses and organizations, this can introduce uncertainties that slow adoption of generative AI, particularly in highly regulated industries.

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Generative AI Large Language Models AI AI 248

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

IBM Journey to AI blog

JULY 30, 2024

Data Scientists will typically help with training, validating, and maintaining foundation models that are optimized for data tasks. Data Engineer: A data engineer sets the foundation of building any generating AI app by preparing, cleaning and validating data required to train and deploy AI models.

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Generative AI Data Scientist Software Engineer AI 266

IBM Journey to AI blog

FEBRUARY 13, 2024

The quality of outputs depends heavily on training data, adjusting the model’s parameters and prompt engineering, so responsible data sourcing and bias mitigation are crucial. Imagine training a generative AI model on a dataset of only romance novels.

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Generative AI AI Chatbots AI 343

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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Data Platform Automation AI Automation Deep Learning 205

IBM Journey to AI blog

MAY 31, 2023

Why Presto and IBM?

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Data Platform AI Modeling AI AI 245

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.

Automation 214

Automation Data Platform Software Development AI Engineer 214

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

Machine Learning 250

Machine Learning ML AI AI 250

IBM Journey to AI blog

SEPTEMBER 6, 2023

For decades, IBM has been at the forefront of AI for business. We provide solutions and services that help marketers implement generative AI responsibly and effectively. Watsonx , IBM’s enterprise-ready AI and data platform, is designed to help marketing and other business leaders confidently move into the generative AI arena.

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Generative AI AI AI AI Tools 325

Unite.AI

JANUARY 18, 2024

However, as data complexity and diversity continue to increase, there is a growing need for more advanced AI models that can comprehend and handle these challenges effectively. This is where the emergence of Large Vision Models (LVMs) becomes crucial.

Computer Vision 264

Computer Vision OpenAI Deep Learning Artificial Intelligence 264

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.

Natural Language Processing 147

Natural Language Processing NLP Categorization Algorithm 147

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.

Natural Language Processing 216

Natural Language Processing Large Language Models AI AI 216

IBM Journey to AI blog

DECEMBER 4, 2023

The companies innovating with generative AI aren’t just industry giants. For example, the online education startup Make Music Count used IBM watsonx™ AI and data platform to customize lesson plans for students on its learning platform , enabling them to ask questions and receive real-time math support through chat.

Generative AI 220

Generative AI AI AI AI Chatbots 220

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.

Large Language Models 238

Large Language Models DevOps Data Science AI Modeling 238

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.

Large Language Models 289

Large Language Models LLM Explainability Chatbots 289

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.

Generative AI 246

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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.

Generative AI 173

Generative AI Chatbots Data Scientist AI 173

IBM Journey to AI blog

JUNE 8, 2023

So how do businesses that want to incorporate AI move forward when there is such a high level of difficulty? Krista also plans to continue to deepen its work with IBM, including exploring the upcoming IBM watsonx AI and data platform , to help clients like Zimperium unlock AI’s true potential.

DevOps 214

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IBM Journey to AI blog

JUNE 15, 2023

To help organizations scale AI workloads, we recently announced IBM watsonx.data , a data store built on an open data lakehouse architecture and part of the watsonx AI and data platform. Let’s dive into the analytics landscape and what makes watsonx.data unique.

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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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Big Data AI AI ETL 329

IBM Journey to AI blog

APRIL 24, 2024

Instead, they can write system prompts, natural-language instructions that tell the AI model what to do. With the IBM® watsonx™ AI and data platform , organizations can easily and securely deploy and embed AI across the business. For example, the remoteli.io

LLM 264

LLM Large Language Models Chatbots Artificial Intelligence 264

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!

Machine Learning 67

Machine Learning ML Auto-complete Data Scientist 67

AWS Machine Learning Blog

APRIL 1, 2025

Streamlit application The Streamlit application component of this code creates an interactive and user-friendly interface for the Constitutional AI model. Over the years, he has helped multiple customers on data platform transformations across industry verticals. The following diagram illustrates the workflow.

LLM 107

LLM Data Scientist Data Science Generative AI 107

AssemblyAI

AUGUST 22, 2024

  To help achieve better consumer satisfaction, many companies are turning to conversation intelligence platforms that combine voice of customer data and AI analysis to better understand their customers’ needs and experiences and produce better engagement in the long term. 

AI Modeling 147

AI Modeling AI AI Business Intelligence 147

IBM Journey to AI blog

JANUARY 9, 2024

Scaling AI for better business outcomes and impact AI has transitioned from peripheral to core business driver, demanding optimized infrastructure for high-performance AI workloads.

Data Ingestion 212

Data Ingestion Automation Data Platform AI Modeling 212

IBM Journey to AI blog

SEPTEMBER 7, 2023

As one of the first companies to develop enterprise AI, IBM’s approach to AI development is guided by core principles grounded in commitments of trust and transparency. IBM’s watsonx AI and data platform lets you go beyond being an AI user and become an AI value creator.

Large Language Models 275

Large Language Models AI AI Generative AI 275

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? The platform comprises three powerful products: The watsonx.ai

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IBM Journey to AI blog

AUGUST 22, 2024

These descriptions are then transformed into natural language bullet points by generative AI models, including IBM Granite, which are hosted on the IBM® watsonx™ AI and data platform. Next, the Match Reports are created.

Generative AI 243

Generative AI Automation Data Scientist Data Platform 243

ODSC - Open Data Science

MARCH 12, 2025

Data Engineerings SteadyGrowth 20182021: Data engineering was often mentioned but overshadowed by modeling advancements. 20222024: As AI models required larger and cleaner datasets, interest in data pipelines, ETL frameworks, and real-time data processing surged.

Data Science 52

Data Science ETL Machine Learning AI Engineer 52

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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