IBM Journey to AI blog

OCTOBER 25, 2023

Implementing generative AI can seem like a chicken-and-egg conundrum. In a recent IBM Institute for Business Value survey, 64% of CEOs said they needed to modernize apps before they could use generative AI. From our perspective, the debate over architecture is over.

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AWS Machine Learning Blog

MARCH 27, 2024

This is achieved through practices like infrastructure as code (IaC) for deployments, automated testing, application observability, and complete application lifecycle ownership. This blog post discusses how BMC Software added AWS Generative AI capabilities to its product BMC AMI zAdviser Enterprise.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. Fifth, we’ll showcase various generative AI use cases across industries.

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O'Reilly Media

FEBRUARY 25, 2025

Hi, I am a professor of cognitive science and design at UC San Diego, and I recently wrote posts on Radar about my experiences coding with and speaking to generative AI tools like ChatGPT. But the problem was that AI wasnt nearly good enough back then to emulate a human tutor. Yes and no.

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AWS Machine Learning Blog

NOVEMBER 7, 2024

Generative AI has transformed customer support, offering businesses the ability to respond faster, more accurately, and with greater personalization. AI agents , powered by large language models (LLMs), can analyze complex customer inquiries, access multiple data sources, and deliver relevant, detailed responses.

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Unite.AI

SEPTEMBER 30, 2024

AI quality assurance (QA) uses artificial intelligence to streamline and automate different parts of the software testing process. AI-powered QA introduces several technical innovations that transform the testing process. With these advantages, AI-powered QA can help organizations reduce QA costs by more than 50%.

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IBM Journey to AI blog

NOVEMBER 24, 2023

Application modernization is the process of updating legacy applications leveraging modern technologies, enhancing performance and making it adaptable to evolving business speeds by infusing cloud native principles like DevOps, Infrastructure-as-code (IAC) and so on. Let us explore the Generative AI possibilities across these lifecycle areas.

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AWS Machine Learning Blog

JANUARY 13, 2025

MuleSoft from Salesforce provides the Anypoint platform that gives IT the tools to automate everything. This includes integrating data and systems and automating workflows and processes, and the creation of incredible digital experiencesall on a single, user-friendly platform. Every organization has unique needs when it comes to AI.

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IBM Journey to AI blog

SEPTEMBER 19, 2024

Generative AI innovations can transform industries. Eight client teams collaborated with IBM® and AWS this spring to develop generative AI prototypes to address real-world business challenges in the public sector, financial services, energy, healthcare and other industries.

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AWS Machine Learning Blog

JANUARY 21, 2025

Chat-based assistants have become an invaluable tool for providing automated customer service and support. ServiceNow is a cloud-based platform for IT workflow management and automation. Stay up to date with the latest advancements in generative AI and start building on AWS.

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AWS Machine Learning Blog

MARCH 21, 2025

However, by using Anthropics Claude on Amazon Bedrock , researchers and engineers can now automate the indexing and tagging of these technical documents. Amazon Bedrock is a fully managed service that provides a single API to access and use various high-performing foundation models (FMs) from leading AI companies.

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Unite.AI

OCTOBER 4, 2023

You recently oversaw the company’s recent launch of Amdocs amAIz , a Generative AI Framework for the Telecom industry. Generative AI is here, but just as importantly, it’s here to stay. What are some of the challenges behind Generative AI hallucinations and how is Amdocs addressing this to reduce or mitigate these?

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IBM Journey to AI blog

DECEMBER 11, 2023

Kubernetes , Docker Swarm ) to automate the deployment of apps across all clouds. Lastly, a hybrid cloud ecosystem delivers the agility that DevOps and other teams need to rapidly develop, test and launch applications in a cloud-based environment—another critical driver for business growth.

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AWS Machine Learning Blog

MARCH 5, 2025

Generative AI question-answering applications are pushing the boundaries of enterprise productivity. These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques. 201% $12.2B

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IBM Journey to AI blog

SEPTEMBER 17, 2024

Generative AI is not only changing the way applications are built, but the way they are envisioned, designed, tested, documented, and deployed. The appearance of mobile apps and the cloud incorporated new levels of automation and agility into the development lifecycle.

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IBM Journey to AI blog

MARCH 28, 2024

Serverless simplifies development and supports DevOps practices by allowing developers to spend less time defining the infrastructure required to integrate, test, deliver and deploy code builds into production. Automation: Cloud automation tools run on top of virtual environments and speed tasks (e.g.,

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IBM Journey to AI blog

FEBRUARY 6, 2024

There would be no e-commerce, remote work capabilities or the IT infrastructure framework needed to support emerging technologies like generative AI and quantum computing. Automation Automation tools are a significant feature of cloud-based infrastructure. Microservices have become crucial for DevOps methodologies.

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IBM Journey to AI blog

NOVEMBER 14, 2023

The platform can be automated through a standardized framework validated for Financial Services, leveraging the IBM Cloud Security and Compliance Center service (SCC). It combines the power of the z-Mod stack with secure DevOps practices, creating a seamless and efficient development process.

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AWS Machine Learning Blog

MARCH 7, 2024

However, Amazon Bedrock and AWS Step Functions make it straightforward to automate this process at scale. Amazon Bedrock offers the generative AI foundation model Amazon Titan Image Generator G1 , which can automatically change the background of an image using a technique called outpainting.

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AWS Machine Learning Blog

MARCH 10, 2025

The use of multiple external cloud providers complicated DevOps, support, and budgeting. It became apparent that a cost-effective solution for our generative AI needs was required. Response performance and latency The success of generative AI-based applications depends on the response quality and speed.

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Becoming Human

APRIL 19, 2024

The use of Generative AI is one of the most exciting technological developments that is changing the pattern for software development. We will examine all aspects of generative AI in this section, as well as how its implementation is changing the method for creating software.

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IBM Journey to AI blog

AUGUST 11, 2023

MLOps, which stands for machine learning operations, uses automation, continuous integration and continuous delivery/deployment (CI/CD) , and machine learning models to streamline the deployment, monitoring and maintenance of the overall machine learning system. How to use ML to automate the refining process into a cyclical ML process.

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IBM Journey to AI blog

DECEMBER 1, 2023

Today, hybrid cloud architecture has expanded beyond physical connectivity and basic cloud migration to offer a flexible, secure and cost-effective environment that supports the portability and automated deployment of workloads across multiple environments. fast and secure mobile banking apps).

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AWS Machine Learning Blog

MAY 7, 2024

If you prefer to generate post call recording summaries with Amazon Bedrock rather than Amazon SageMaker, checkout this Bedrock sample solution. He is a builder and trusted advisor to companies across industries, helping businesses innovate faster and on a larger scale with technologies ranging from generative AI to scalable ML platforms.

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AWS Machine Learning Blog

MAY 1, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Flipboard

FEBRUARY 10, 2025

Unlike traditional systems, which rely on rule-based automation and structured data, agentic systems, powered by large language models (LLMs), can operate autonomously, learn from their environment, and make nuanced, context-aware decisions.

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IBM Journey to AI blog

FEBRUARY 14, 2024

McDonald’s is building AI solutions for customer care with IBM Watson AI technology and NLP to accelerate the development of its automated order taking (AOT) technology. Routine questions from staff can be quickly answered using AI.

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AWS Machine Learning Blog

AUGUST 26, 2024

The rise of foundation models (FMs), and the fascinating world of generative AI that we live in, is incredibly exciting and opens doors to imagine and build what wasn’t previously possible. Users can input audio, video, or text into GenASL, which generates an ASL avatar video that interprets the provided data.

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IBM Journey to AI blog

DECEMBER 20, 2023

Also known as “k8s” or “kube,” Kubernetes is a container orchestration platform for scheduling and automating the deployment, management and scaling of containerized applications. Workloads involving web content, big data analytics and AI are ideal for a hybrid cloud infrastructure.

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IBM Journey to AI blog

JANUARY 30, 2024

Multicloud architecture not only empowers businesses to choose a mix of the best cloud products and services to match their business needs, but it also accelerates innovation by supporting game-changing technologies like generative AI and machine learning (ML).

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps).

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IBM Journey to AI blog

JANUARY 15, 2024

Digital transformation trends that drive a competitive advantage Trend: Artificial intelligence and machine learning We’re entering year two of widespread adoption of generative AI tools. Trend: Automation Like AI and ML, automation will be a huge driver of human productivity.

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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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Flipboard

NOVEMBER 22, 2024

The functional architecture with different capabilities is implemented using a number of AWS services, including AWS Organizations , Amazon SageMaker , AWS DevOps services, and a data lake. Ram Vittal is a Principal Generative AI Solutions Architect at AWS. In this post, we focus on the highlighted Amazon DataZone section.

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AWS Machine Learning Blog

FEBRUARY 6, 2024

Accenture built a regulatory document authoring solution using automated generative AI that enables researchers and testers to produce CTDs efficiently. By extracting key data from testing reports, the system uses Amazon SageMaker JumpStart and other AWS AI services to generate CTDs in the proper format.

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AWS Machine Learning Blog

AUGUST 1, 2024

In the next section, we explore how generative AI and Amazon Bedrock can help insurers overcome these challenges and streamline the underwriting process through intelligent document understanding and automation.

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AWS Machine Learning Blog

AUGUST 22, 2024

Building a deployment pipeline for generative artificial intelligence (AI) applications at scale is a formidable challenge because of the complexities and unique requirements of these systems. Generative AI models are constantly evolving, with new versions and updates released frequently.

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