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. Automate tedious, repetitive tasks. Generative AI is being used to automatically update and maintain code across different platforms. Best practices are evolving rapidly.

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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.

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IBM Journey to AI blog

DECEMBER 8, 2023

But what exactly defines a SDV, and what is the architectural foundation behind the car that provides connectivity, automation and personalization? The SDV separates hardware from software, allowing for updates and upgrades, automation or autonomy and constant connectivity.

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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

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

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.,

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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.

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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

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 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

JUNE 23, 2023

Digital transformation Insurance companies are reducing cost and providing better customer experience by using automation, digitizing the business, and encouraging customers to use self-service channels. It used to be that insurance companies used a combination of automated workflow, a business rules engine and content management software.

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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

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.

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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?

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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.

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Chatbots Conversational AI Generative AI Automation 155

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.

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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. However, these systems lack genuine understanding and can’t adapt to situations outside their training.

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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.

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ODSC - Open Data Science

JULY 20, 2023

According to reports from the Wall Street Journal, the goal is to provide IBM with “greater automation capabilities.” For those unaware, Apptio is a provider of automated software cost management and other hybrid-IT tools. These moves signal to some that IBM is going in deep with automation. Customer Support Startup Cohere.io

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IBM Journey to AI blog

JULY 7, 2023

Use dedicated data security software. An integrated data protection system can protect your assets by monitoring them, automating access control, setting up notifications, and auditing your password management. Secure databases in the physical data center, big data platforms and the cloud.

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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.

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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 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

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. An LLM like Falcon-40B, offered under an Apache 2.0

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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

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. IBM watsonx consists of the following: IBM watsonx.ai

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Marktechpost

AUGUST 21, 2023

When combined with data from other sources, including marketing data platforms, Excel may provide invaluable insights quickly. With the advent of AI (artificial intelligence), Excel users no longer need to memorize hundreds of long, winding Excel formulas to enter complex calculations and get thorough insights.

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AWS Machine Learning Blog

AUGUST 3, 2023

Use cases range from self-driving cars, content moderation on social media platforms, cancer detection, and automated defect detection. Aamna Najmi is a Data Scientist with AWS Professional Services. She has experience in working on data platform and AI/ML projects in the healthcare and life sciences vertical.

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Computer Vision Data Scientist ML Deep Learning 66

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

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy.

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IBM Journey to AI blog

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

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Machine Learning Automation AI AI 179

IBM Journey to AI blog

DECEMBER 20, 2023

ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. AI studio The post Five machine learning types to know appeared first on IBM Blog. What is machine learning? Explore the watsonx.ai

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AWS Machine Learning Blog

AUGUST 4, 2023

Use the newly launched SageMaker provided project template for Salesforce Data Cloud integration to streamline implementing the preceding steps by providing the following templates: An example notebook showcasing data preparation, building, training, and registering the model. Choose clone repo for both notebooks.

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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

AUGUST 1, 2023

Foundation models: The driving force behind generative AI Also known as a transformer, a foundation model is an AI algorithm trained on vast amounts of broad data. The term “foundation model” was coined by the Stanford Institute for Human-Centered Artificial Intelligence in 2021.

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IBM Journey to AI blog

MAY 21, 2024

IBM had just released watsonx, its commercial generative AI and scientific data platform based on cloud. See what watsonx can do The post Shooting to score with Scout Advisor’s NLP appeared first on IBM Blog. Therefore, a partnership to extract the most value from our scouting reports using AI was the right initiative.”

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NLP Natural Language Processing Explainability Generative AI 167

AWS Machine Learning Blog

DECEMBER 20, 2023

A common cybersecurity challenge has been two-fold: Consuming logs from digital resources that come in different formats and schemas and automating the analysis of threat findings based on those logs. This blog walks through the relevant portion of code within the notebook after it’s deployed in your environment.

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