IBM Journey to AI blog

DECEMBER 13, 2023

Read the blog: How generative AI is transforming customer service Customer service types that organizations should prioritize By offering different types of customer service and several customer support channels, organizations demonstrate they are investing in customer care.

Chatbots 201

Chatbots Generative AI DevOps Conversational AI 201

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). IBM offers end-to-end consulting capabilities in experience design and service, data and AI transformation.

Conversational AI 211

Conversational AI Generative AI AI AI 211

IBM Journey to AI blog

SEPTEMBER 21, 2023

During TechXchange , IBM’s premier technical learning event in Las Vegas last week, IBM Partner Plus members including our Strategic Partners, resellers, software vendors, distributors and service partners showed up in full force, joining us on stage to share how they are embracing watsonx , our enterprise-ready AI and data platform.

Large Language Models 283

Large Language Models Generative AI AI AI 283

IBM Journey to AI blog

SEPTEMBER 20, 2023

Few technologies have taken the world by storm the way artificial intelligence (AI) has over the past few years. IBM watsonx , our integrated AI and data platform, embodies these principles, offering a seamless, efficient, and responsible approach to AI deployment across a variety of environments.

Generative AI 271

Generative AI AI AI Explainability 271

IBM Journey to AI blog

AUGUST 2, 2023

These spanned from being a video editor, interning at startups, assisting in artificial intelligence research, and numerous other stints in between. Watson Assistant seamlessly connects to customer data platforms, enabling data-backed understandings of customer expectations.

Conversational AI 179

Conversational AI Chatbots Automation Natural Language Processing 179

IBM Journey to AI blog

DECEMBER 5, 2023

Customer care: According to IBM’s recent CEO study, where we examined the retail and CPG sectors’ perspectives on artificial intelligence, the top priority for these industries today is customer care. IBM generative AI is ready for retail IBM has developed AI solutions to help address these needs.

Generative AI 237

Generative AI AI AI Automation 237

IBM Journey to AI blog

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.

Data Platform 130

Data Platform ETL Metadata Data Discovery 130

IBM Journey to AI blog

JUNE 12, 2023

A long-standing partnership between IBM Human Resources and IBM Global Chief Data Office (GCDO) aided in the recent creation of Workforce 360 (Wf360), a workforce planning solution using IBM’s Cognitive Enterprise Data Platform (CEDP).

Data Quality 168

Data Quality Automation Data Ingestion Data Platform 168

IBM Journey to AI blog

FEBRUARY 13, 2024

Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating. In addition, Well-developed prompts and inputs direct generative models to output creative content for emails, blogs, social media posts and websites.

Generative AI 310

Generative AI AI AI Chatbots 310

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. Watson, Sr.,

Natural Language Processing 148

Natural Language Processing AI AI Generative AI 148

IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 207

Data Science Data Scientist Machine Learning Data Mining 207

IBM Journey to AI blog

MAY 31, 2023

Register for PrestoCon Day The post Join us at PrestoCon Day, a free virtual community event appeared first on IBM Blog. Some of the biggest companies in the world are contributing to the Presto open-source project, including Meta, Uber and Intel. Why Presto and IBM?

Data Platform 225

Data Platform AI Modeling AI AI 225

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 184

Automation Data Platform Software Development AI Engineer 184

IBM Journey to AI blog

JANUARY 10, 2024

Artificial intelligence (AI) refers to the convergent fields of computer and data science focused on building machines with human intelligence to perform tasks that would previously have required a human being. What is artificial intelligence and how does it work?

Artificial Intelligence 206

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 206

IBM Journey to AI blog

OCTOBER 3, 2023

And this year, ESPN Fantasy Football is using AI models built with watsonx to provide 11 million fantasy managers with a data-rich, AI-infused experience that transcends traditional statistics. The post IBM and ESPN use AI models built with watsonx to transform fantasy football data into insight appeared first on IBM Blog.

AI Modeling 239

AI Modeling Neural Network Natural Language Processing AI 239

IBM Journey to AI blog

AUGUST 1, 2023

We are bringing the power of foundation models with the availability of a GPU as a service on IBM Cloud offering to help organizations tap into artificial intelligence (AI) in a secured environment while aiming to mitigate third- and fourth-party risk.

Artificial Intelligence 168

Artificial Intelligence Artificial Intelligence Software Development Generative AI 168

IBM Journey to AI blog

MARCH 27, 2024

Company leadership is already trumpeting new data processing applications and how smoothly already favored apps will be integrated into the new, high-performance system. Still others are wowed by the promise of artificial intelligence (AI) and automation that hyperscale data centers offer. appeared first on IBM Blog.

Artificial Intelligence 268

Artificial Intelligence Artificial Intelligence Data Platform Automation 268

IBM Journey to AI blog

JULY 11, 2023

Register for our LinkedIn Live event on telcos and the Economy of Things The Economy of Things has arrived The EoT is enabled by artificial intelligence, data, IoT and blockchain, bringing liquidity to the IoT. And what is the role telecommunications service providers play in enabling and scaling the EoT?

Data Platform 135

Data Platform Metadata Artificial Intelligence Artificial Intelligence 135

IBM Journey to AI blog

JUNE 23, 2023

While you may have learned about generative artificial intelligence (AI), you may not know what it means for the future of Finance and Accounting (F&A). As the name suggests, it generates images, music, speech, code, video or text, while it interprets and manipulates preexisting data.

Generative AI 160

Generative AI AI AI AI Strategy 160

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. appeared first on IBM Blog. Test out watsonx.ai

Generative AI 234

Generative AI Large Language Models AI AI 234

IBM Journey to AI blog

APRIL 10, 2023

Data fabric can help model, integrate and query data sources, build data pipelines, integrate data in near real-time, and run AI-driven applications. The time for data professionals to meet this challenge is now.

ESG 232

ESG Metadata AI AI 232

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.”

Machine Learning 214

Machine Learning AI AI ML 214

Heartbeat

DECEMBER 7, 2023

What are the new data governance trends, “Data Fabric” and “Data Mesh”? I decided to write a series of blogs on current topics: the elements of data governance that I have been thinking about, reading, and following for a while. Even though the titles are new, the ideas are not really new. Exciting News!

Metadata 52

Metadata Data Platform Deep Learning Data Quality 52

IBM Journey to AI blog

AUGUST 2, 2023

Wf360 delivers one integrated HR profile spanning career, skills, performance, learning, and compensation, incorporating both daily snapshots and historical data.

Data Quality 160

Data Quality Automation Data Scientist Data Platform 160

IBM Journey to AI blog

JULY 12, 2023

IBM watsonx —our enterprise AI and data platform—offers a seamless, efficient, and governed approach to AI deployment across a variety of environments. We provide open and targeted value creating AI solutions for businesses.

Generative AI 142

Generative AI AI AI Data Platform 142

Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. ” This notion underscores the pivotal role of data in today’s dynamic landscape. So, let’s get started.

Data Analysis 52

Data Analysis Data Quality Artificial Intelligence Artificial Intelligence 52

IBM Journey to AI blog

DECEMBER 5, 2023

Embrace technology While human representatives remain a critical component of any customer service strategy, technological advancements like artificial intelligence (AI) can help organizations serve more customers more effectively. Making customers happy upfront will lessen the impact should something go wrong in the future.

Chatbots 169

Chatbots Conversational AI Generative AI Automation 169

IBM Journey to AI blog

APRIL 18, 2024

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly.

Neural Network 237

Neural Network LLM AI AI 237

Marktechpost

MARCH 12, 2024

Taken as a whole, these enhancements significantly lessen the load of data development. Thanks to the readily available generation tools and support from ML data platforms, adopting Croissant enhances the value of their datasets with no effort. Check out the Blog and Project.

Metadata 110

Metadata Machine Learning ML Data Discovery 110

IBM Journey to AI blog

JUNE 23, 2023

With the advent of artificial intelligence (AI) , however, companies are now implementing cognitive process automation that enables self-service options for customers and agents self-service and assists in automating many other functions, such as the IT Help Desk and employee HR capabilities.

Automation 150

Automation Neural Network Large Language Models Generative AI 150

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.

Explainable AI 98

Explainable AI Data Scientist Data Science Python 98

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.ai is a studio to train, validate, tune and deploy machine learning (ML) and foundation models for Generative AI.

Generative AI 143

Generative AI Auto-complete AI AI 143

AWS Machine Learning Blog

FEBRUARY 27, 2024

In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker. This is a guest post written by Axfood AB.

Machine Learning 113

Machine Learning DevOps Data Quality Data Scientist 113

AWS Machine Learning Blog

AUGUST 4, 2023

As a result, businesses can accelerate time to market while maintaining data integrity and security, and reduce the operational burden of moving data from one location to another. With Einstein Studio, a gateway to AI tools on the data platform, admins and data scientists can effortlessly create models with a few clicks or using code.

Data Scientist 73

Data Scientist ML ETL AI 73

ODSC - Open Data Science

MARCH 22, 2024

The brilliant solution is pretty disruptive, and although I am a great believer in Data Mesh, particularly after the successful implementation at PayPal ( The next generation of Data Platforms is Data Mesh ), it involves a lot of changes at the organizational level.

Software Engineer 52

Software Engineer Data Science Data Platform Explainability 52

Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

IBM Journey to AI blog

FEBRUARY 19, 2024

Data monetization empowers organizations to use their data assets and artificial intelligence (AI) capabilities to create tangible economic value. This value exchange system uses data products to enhance business performance, gain a competitive advantage, and address industry challenges in response to market demand.

Data Platform 174

Data Platform Automation AI Automation Artificial Intelligence 174