IBM Journey to AI blog

SEPTEMBER 28, 2023

An AI and data platform, such as watsonx, can help empower businesses to leverage foundation models and accelerate the pace of generative AI adoption across their organization. It can also help autocomplete code, modify code and explain code snippets in natural language. Users of third-party models in watsonx.ai

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Generative AI Large Language Models AI AI 248

IBM Journey to AI blog

SEPTEMBER 6, 2023

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. 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.

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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. Proprietary LLMs are owned by a company and can only be used by customers that purchase a license.

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Large Language Models LLM Explainability Chatbots 289

IBM Journey to AI blog

AUGUST 13, 2024

Watson is Gen AI for Gen Z IBM has applied its more than 70 years of AI research, investment and experimentation to the enterprise with watsonx , its AI and data platform unveiled in May 2023.

Machine Learning 291

Machine Learning Neural Network Robotics Natural Language Processing 291

IBM Journey to AI blog

APRIL 10, 2023

That is, it should support both sound data governance —such as allowing access only by authorized processes and stakeholders—and provide oversight into the use and trustworthiness of AI through transparency and explainability.

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ESG Metadata AI AI 259

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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NLP Natural Language Processing Explainability Data Scientist 211

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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Generative AI Metadata AI AI 246

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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Data Science Data Scientist Machine Learning Data Mining 236

AWS Machine Learning Blog

DECEMBER 5, 2024

For use cases where accuracy is critical, customers need the use of mathematically sound techniques and explainable reasoning to help generate accurate FM responses. Despite the advancements in FMs, models can still produce hallucinationsa challenge many of our customers face.

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Responsible AI AI Tools AI AI 108

IBM Journey to AI blog

DECEMBER 4, 2023

IBM® watsonx ™ AI and data platform, along with its suite of AI assistants, is designed to help scale and accelerate the impact of AI using trusted data throughout the business. With a strong focus on AI across its portfolio of products and services, IBM continues to be an industry leader in AI-related capabilities.

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Generative AI Explainability AI AI 143

IBM Journey to AI blog

DECEMBER 7, 2023

For example, an organization can use AI to send personalized emails to new customers explaining the benefits and uses of their new products based on the customer profile. IBM offers end-to-end consulting capabilities in experience design and service, data and AI transformation.

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Conversational AI Generative AI AI AI 231

IBM Journey to AI blog

SEPTEMBER 7, 2023

But now let’s take a look under the hood and explain a little about how we built them, and how they will help you take AI to the next level in your business. IBM’s watsonx AI and data platform lets you go beyond being an AI user and become an AI value creator. 13b.instruct and Granite.13b.chat

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Large Language Models AI AI Generative AI 275

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.”

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Machine Learning ML AI AI 250

Unite.AI

MARCH 6, 2025

Alma can also assist newbies by explaining terms or suggesting next steps in the investing process. Beyond Q&A, Alma can analyze property data on the fly, compute ROI or rental estimates, and even draft outreach messages. or What are some potential exit strategies for this property? and get a quick analysis.

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AI AI Automation Algorithm 182

Snorkel AI

JANUARY 8, 2025

In todays fast-paced AI landscape, seamless integration between data platforms and AI development tools is critical. At Snorkel, weve partnered with Databricks to create a powerful synergy between their data lakehouse and our Snorkel Flow AI data development platform.

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AI Developer AI Development Data Ingestion LLM 52

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. “The Match Reports summarize who played, what happened, and help explain why a player won,” says Baughman.

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IBM Journey to AI blog

JULY 12, 2023

It must be designed to be explainable, fair, robust and transparent, and prioritize and safeguard consumers’ privacy and data rights to help engender trust. IBM watsonx —our enterprise AI and data platform—offers a seamless, efficient, and governed approach to AI deployment across a variety of environments.

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Generative AI AI AI Machine Learning 170

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.

Machine Learning 136

Machine Learning DevOps Data Scientist Data Quality 136

IBM Journey to AI blog

JANUARY 10, 2024

This lack of transparency can be problematic in industries that prioritize process and decision-making explainability (like healthcare and finance). Learning and data handling: Traditional programming is rigid; it relies on structured data to execute programs and typically struggles to process unstructured data. .¹

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Artificial Intelligence Artificial Intelligence Neural Network Algorithm 229

ODSC - Open Data Science

MARCH 12, 2025

Today, data engineering is a major focal point, with organizations investing in robust ETL (Extract, Transform, Load) pipelines, real-time streaming solutions, and cloud-based data platforms. Early years saw a heavy emphasis on interactive dashboards, reporting tools, and data-driven decision-making.

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Data Science ETL Machine Learning AI Engineer 52

IBM Journey to AI blog

JULY 17, 2023

With the recent launch of watsonx, IBM’s next-generation AI and data platform, AI is being taken to the next level with three powerful components: watsonx.ai, watsonx.data and watsonx.governance. Watsonx.data allows scaling of AI workloads using customer data. Watsonx.ai Watsonx.ai

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IBM Journey to AI blog

AUGUST 1, 2023

More accurate analytics Business leaders and other stakeholders can perform AI-assisted analyses to interpret large amounts of unstructured data, giving them a better understanding of the market, reputational sentiment, etc. The platform comprises three powerful products: The watsonx.ai

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Generative AI Data Scientist BERT Machine Learning 176

Unite.AI

OCTOBER 30, 2024

According to a research by Gartner , “ 45% of large software engineering organizations were already utilizing platform engineering platforms in 2022, and the number is expected to rise by 80% by 2026.”. This article will explain platform engineering and its benefits and see how it boosts the entire software development cycle.

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Software Development IDP Automation Software Engineer 130

ODSC - Open Data Science

DECEMBER 7, 2023

8 Tools to Protect Sensitive Data from Unintended Leakage In order to protect themselves from unintended leakage of sensitive information, organizations employ a variety of tools that scan repositories and code continuously to identify the secrets that are hard-coded within.

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Data Scientist Explainable AI Data Science Python 98

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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LLM Data Platform Software Engineer Chatbots 147

Marktechpost

MARCH 12, 2024

These include data life cycle management, labeling, participatory data, ML safety and fairness evaluation, explainability, compliance, and more. The data resources and organization information make tools for data cleaning, refining, and analysis easier to design.

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Metadata Machine Learning ML Data Discovery 120

IBM Journey to AI blog

SEPTEMBER 20, 2023

These include data ingestion, data selection, data pre-processing, FM pre-training, model tuning to one or more downstream tasks, inference serving, and data and AI model governance and lifecycle management—all of which can be described as FMOps. IBM watsonx consists of the following: IBM watsonx.ai

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Large Language Models DevOps Data Science AI Modeling 238

Marktechpost

AUGUST 21, 2023

When combined with data from other sources, including marketing data platforms, Excel may provide invaluable insights quickly. Excel VBA Script Explainer uses AI to explain Excel VBA code, while the Excel VBA Script Generator creates VBA scripts.

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Artificial Intelligence Artificial Intelligence Explainability AI 98

IBM Journey to AI blog

JUNE 23, 2023

Interpretation and contextualization: Financial reports need to deliver insights beyond the numbers they feature; they should provide meaningful context that aids in interpreting financial data. If poorly executed, these reports can limit our ability to explain the underlying drivers of performance.

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Generative AI AI AI Data Analysis 189

DataRobot Blog

AUGUST 1, 2022

As Senior Technical Analyst at GlobalData, Beatriz Vale explains “It will be exciting to follow the evolution of the new AI CoE, in the stimulating environment offered by Hub71, and within the context of the fast-growing market of Abu Dhabi and the UAE, the second largest economy in the Arab world.”

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AI AI Data Platform Explainability 98

IBM Journey to AI blog

OCTOBER 20, 2023

Get to know IBM watsonX IBM watsonx is an AI and data platform with a set of AI assistants designed to help you scale and accelerate the impact of AI with trusted data across your business.

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Machine Learning Automation AI AI 225

IBM Journey to AI blog

APRIL 18, 2024

” AGI analyzes relevant code, generates a draft function with comments explaining its logic and allows the programmer to review, optimize and integrate it. Example: While building an e-commerce feature, a programmer tells AGI, “I need a function to calculate shipping costs based on location, weight and method.”

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Neural Network LLM Algorithm NLP 256

NVIDIA

DECEMBER 11, 2023

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

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Robotics Automation AI AI 132

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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Machine Learning Continuous Learning Generative AI Algorithm 147

AWS Machine Learning Blog

OCTOBER 20, 2023

Data lake foundations This module helps data lake admins set up a data lake to ingest data, curate datasets, and use the AWS Lake Formation governance model for managing fine-grained data access across accounts and users using a centralized data catalog, data access policies, and tag-based access controls.

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ML Data Scientist ML Engineer Data Science 129

AWS Machine Learning Blog

DECEMBER 7, 2023

Calculating courier requirements The first step is to estimate hourly demand for each warehouse, as explained in the Algorithm selection section. He joined Getir in 2022 as a Data Scientist and started working on time-series forecasting and mathematical optimization projects. He loves combining open-source projects with cloud services.

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Convolutional Neural Networks Algorithm Neural Network Data Science 127

Marktechpost

JULY 17, 2023

The company’s H20 Driverless AI streamlines AI development and predictive analytics for professionals and citizen data scientists through open source and customized recipes. The platform makes collaborative data science better for corporate users and simplifies predictive analytics for professional data scientists.

Machine Learning 98

Machine Learning Data Mining Data Scientist Data Science 98