IBM Journey to AI blog

JUNE 8, 2023

Krista Software helps Zimperium automate operations with IBM Watson Vamsi Kurukuri, VP of Site Reliability at Zimperium, developed a strategy to remove roadblocks and pain points in Zimperium’s deployment process. Once all parties approve the release, Krista then deploys it.

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IBM Journey to AI blog

MAY 9, 2023

Watsonx.data will be core to IBM’s new AI and Data platform, IBM watsonx, announced today at IBM Think. Through workload optimization an organization can reduce data warehouse costs by up to 50 percent by augmenting with this solution. [1] What is watsonx.data?

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IBM Journey to AI blog

AUGUST 7, 2024

In the year since we unveiled IBM’s enterprise generative AI (gen AI) and data platform, we’ve collaborated with numerous software companies to embed IBM watsonx™ into their apps, offerings and solutions. “These technologies offer significant potential to streamline and automate daily sales activities at scale.

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IBM Journey to AI blog

DECEMBER 14, 2023

IBM introduced watsonx as the AI and data platform built for business. A deployable architecture is a cloud automation for deploying a common architectural pattern that combines one or more cloud resources that are designed for easy deployment, scalability and modularity. Automated regression tests are a dynamite.

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IBM Journey to AI blog

NOVEMBER 10, 2023

When combined with artificial intelligence (AI), an interoperable healthcare data platform has the potential to bring about one of the most transformational changes in history to US healthcare, moving from a system in which events are currently understood and measured in days, weeks, or months into a real-time inter-connected ecosystem.

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IBM Journey to AI blog

AUGUST 22, 2024

But by leveraging the hybrid cloud architecture with Red Hat® OpenShift® that IBM Consulting has built over years of working with the USTA, the development team can quickly create, test and implement new automated workflows to address such challenges. This year’s content engine is one such workflow.

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IBM Journey to AI blog

FEBRUARY 13, 2024

Automate tedious, repetitive tasks. Generative AI is being used to automatically update and maintain code across different platforms. In addition, Well-developed prompts and inputs direct generative models to output creative content for emails, blogs, social media posts and websites. Best practices are evolving rapidly.

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IBM Journey to AI blog

AUGUST 2, 2023

This type of customer care was a process that could certainly be automated. Lack of automation also raised the issue that digital customer care was bound within specified hours. Watson Assistant is a versatile solution for a wide range of services and can be a powerful tool in IT automation. –5 p.m.

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IBM Journey to AI blog

OCTOBER 14, 2024

Internally, we’ve implemented a marketing-automation use case where IBM’s brand guidelines and examples were ingested to generate new marketing content and curate it for consistent quality and tone. Similarly, the proliferation of agents will infuse data into an exploding volume and variety of automated workflows.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

On the backend, AI likewise has the potential to supercharge digital modernization in by, for example, automating the migration of legacy software to more flexible cloud-based applications, or accelerating mainframe application modernization. appeared first on IBM Blog. Let’s embrace the age of AI value creation together.

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IBM Journey to AI blog

DECEMBER 5, 2023

Generative AI can likewise use historical sales data and external factors to help predict demand more accurately to prevent stockouts and excess inventory while also automating inventory replenishment and allocation. By efficiently managing these aspects, retailers can streamline their operations and boost overall performance.

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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

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

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IBM Journey to AI blog

JANUARY 9, 2024

Successful hybrid cloud strategies require a unified control and management plane, enabling automated deployment of applications across various environments, comprehensive observability and improved cyber resiliency. The recipe for XaaS success appeared first on IBM Blog.

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IBM Journey to AI blog

AUGUST 17, 2023

IBM iX , the experience design arm of IBM Consulting, and IBM’s AI consultants work with the United States Tennis Association (USTA) to integrate technology from dozens of partners, automate key business processes and develop new features. Most importantly though, the teams focus on delivering world-class digital experiences to fans.

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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). What is data quality? First they need to know if the data is accurate.

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IBM Journey to AI blog

JUNE 19, 2024

IBM unveiled its new AI and data platform, watsonx™, which offers RAG, back in May 2023. As a fully managed serverless platform, IBM Cloud Code Engine can scale the application with ease through automation capabilities that manage and secure the underlying infrastructure.

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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.

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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. What is data quality? With its automation capabilities, IBM Knowledge Catalog enforces business data quality rules and identifies anomalies.

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IBM Journey to AI blog

AUGUST 31, 2023

IBM watsonx Assistant connects to watsonx, IBM’s enterprise-ready AI and data platform for training, deploying and managing foundation models, to enable business users to automate accurate, conversational question-answering with customized watsonx large language models.

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IBM Journey to AI blog

DECEMBER 15, 2023

The use of simple automation Many customer service tasks can and should be automated rather than require a customer to talk to a customer service agent. These simple automations answer the customer’s needs while saving their time—they don’t have to call customer support and wait for a human representative.

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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. Read about the Wimbledon campaign The post Enhancing the Wimbledon fan experience with AI from watsonx appeared first on IBM Blog.

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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.”

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IBM Journey to AI blog

AUGUST 1, 2023

As the demand for more and better content explodes, top global companies, including IBM, are now doubling down on automation and AI. We are currently focused on accelerating delivery and execution, starting with demand automation. We have gone from using three different demand tools down to just one.

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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. The LLM solution has resulted in an 80% reduction in manual effort and in 90% accuracy of automated tasks. Watsonx.ai

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IBM Journey to AI blog

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Some AI platforms also provide advanced AI capabilities, such as natural language processing (NLP) and speech recognition.

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IBM Journey to AI blog

SEPTEMBER 27, 2023

These include: Text generation Open source LLM models allow you to create an app with language generation abilities, such as writing emails, blog posts or creative stories. To help organizations address these needs and multiply the impact of AI, IBM offers watsonx, our enterprise-ready AI and data platform.

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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. n count (200) The post Data is essential: Building an effective generative AI marketing strategy appeared first on IBM Blog.

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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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IBM Journey to AI blog

AUGUST 13, 2024

An early hint of today’s natural language processing (NLP), Shoebox could calculate a series of numbers and mathematical commands spoken to it, creating a framework used by the smart speakers and automated customer service agents popular today. Elevate your AI with IBM watsonx. Train, deploy and scale models effortlessly.

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IBM Journey to AI blog

JULY 27, 2023

Unsurprisingly, the hunger for AI-based solutions has created high demand for education around Automation. Partners can now embed core AI technology like Watson Natural Language Processing (NLP) to make application experiences more intelligent, or Watson Discovery to infuse automation into core business workflows.

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IBM Journey to AI blog

JANUARY 10, 2024

The automation and continuous learning features of AI-based programs enable developers to scale processes quickly and with relative ease, representing one of the key advantages of ai. It’s worth mentioning, however, that automation can have significant job loss implications for the workforce.

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IBM Journey to AI blog

JUNE 8, 2023

The reefs are also equipped with the BluBoxx™ ocean data platform, and can be adapted to different environments to monitor and collect a wide range of ocean data.

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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. 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.

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IBM Journey to AI blog

JULY 17, 2023

IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. In this blog, I will cover: What is watsonx.ai? What capabilities are included in watsonx.ai? What is watsonx.data?

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IBM Journey to AI blog

OCTOBER 4, 2023

Enter IBM watsonx.data , a fit-for-purpose data store built on an open data lakehouse, to scale AI workloads, for all your data, anywhere. Watsonx.data is part of IBM’s AI and data platform, watsonx, that empowers enterprises to scale and accelerate the impact of AI across the business.

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IBM Journey to AI blog

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

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