IBM Journey to AI blog

DECEMBER 1, 2023

The initial use of generative AI is often for making DevOps more productive. AIOps integrates multiple separate manual IT operations tools into a single, intelligent and automated IT operations platform. On the other hand, self-supervised learning is computer powered, requires little labeling, and is quick, automated and efficient.

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IBM Journey to AI blog

MAY 18, 2023

It’s also an evolution from the current “fat pipes” method (which doesn’t differentiate between applications) to one that aligns the network to the needs of the business, its users, and its developers, their CI/CD pipeline and DevOps cycles. This statement replaces all prior statements on this topic.

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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 also automates test data generation, creating a wide range of test data that reduces the need for manual input. Automated QA surpasses manual testing by offering up to 90% accuracy.

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Unite.AI

SEPTEMBER 25, 2024

The funding round was led by Flint Capital and Glilot Capital Partners , with notable industry figures such as Yochay Ettun, CEO of cnvrg.io (acquired by Intel), and Raz Shaked, Head of DevOps at Wiz, among the investors. For more information on Bluebricks and its solutions, visit Bluebricks’ website. The post Bluebricks Raises $4.5M

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IBM Journey to AI blog

OCTOBER 17, 2023

Introducing the SAP Business Technology Platform The SAP Business Technology Platform (BTP) is a technological innovation platform designed for SAP applications to combine data and analytics, AI, application development, automation and integration into a single, cohesive ecosystem. Why SAP BTP + IBM Instana?

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AWS Machine Learning Blog

MAY 1, 2024

For handling more intricate queries, achieving comprehensive answers demands information sourced from both documentation and databases. This integration allows for the synthesis of combined information, resulting in detailed and exhaustive answers. For more information, see Knowledge bases for Amazon Bedrock. 32xlarge instance.

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AWS Machine Learning Blog

OCTOBER 22, 2024

It accelerates your generative AI journey from prototype to production because you don’t need to learn about specialized workflow frameworks to automate model development or notebook execution at scale. You might need to request a quota increase; see Requesting a quota increase for more information.

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Unite.AI

JUNE 19, 2024

MLOps, or Machine Learning Operations, is a multidisciplinary field that combines the principles of ML, software engineering, and DevOps practices to streamline the deployment, monitoring, and maintenance of ML models in production environments. ML Operations : Deploy and maintain ML models using established DevOps practices.

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IBM Journey to AI blog

SEPTEMBER 5, 2024

Everything is data—digital messages, emails, customer information, contracts, presentations, sensor data—virtually anything humans interact with can be converted into data, analyzed for insights or transformed into a product. Automation can significantly improve efficiency and reduce errors.

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The MLOps Blog

JANUARY 23, 2023

Lived through the DevOps revolution. If you’d like a TLDR, here it is: MLOps is an extension of DevOps. Not a fork: – The MLOps team should consist of a DevOps engineer, a backend software engineer, a data scientist, + regular software folks. We need both automated continuous monitoring AND periodic manual inspection.

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IBM Journey to AI blog

MARCH 29, 2024

OpenTelemetry and Prometheus enable the collection and transformation of metrics, which allows DevOps and IT teams to generate and act on performance insights. Logs can be created around specific aspects of a component that DevOps teams want to monitor. What is OpenTelemetry?

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AWS Machine Learning Blog

MAY 7, 2024

For all languages that are supported by Amazon Transcribe, you can find FMs from Hugging Face supporting summarization in corresponding languages The following diagram depicts the automated meeting summarization workflow. Mateusz Zaremba is a DevOps Architect at AWS Professional Services.

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IBM Journey to AI blog

JULY 24, 2023

It is often a part of AIOps , which uses artificial intelligence (AI) and machine learning to improve the overall DevOps of an organization so the organization can provide better service. The increasing complexity of IT systems has created a need for organizations to monitor and analyze data better to make more informed decisions.

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Flipboard

MARCH 27, 2023

Devops teams build their infrastructure as code, automate deployments with continuous integration/continuous delivery (CI/CD), and establish …

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AWS Machine Learning Blog

SEPTEMBER 4, 2024

DevOps engineers often use Kubernetes to manage and scale ML applications, but before an ML model is available, it must be trained and evaluated and, if the quality of the obtained model is satisfactory, uploaded to a model registry. They often work with DevOps engineers to operate those pipelines. curl for transmitting data with URLs.

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IBM Journey to AI blog

MARCH 28, 2024

A private cloud also provides an ideal setting for companies with workloads that deal with confidential documents, intellectual property, personally identifiable information (PII) , medical records, financial data or other sensitive data. Automation: Cloud automation tools run on top of virtual environments and speed tasks (e.g.,

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IBM Journey to AI blog

MARCH 20, 2024

But without integration, the data would be locked into siloes; and the applications would be isolated and overloaded with complexity as fragile, tightly coupled connections were added to allow applications to work together and share information. Integration helps connect, automate and digitally transform businesses.

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IBM Journey to AI blog

AUGUST 11, 2023

The information can deepen our understanding of how our world works—and help create better and “smarter” products. The paper suggested creating a systematic “MLOps” process that incorporated CI/CD methodology commonly used in DevOps to essentially create an assembly line for each step. What is MLOps?

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IBM Journey to AI blog

SEPTEMBER 19, 2024

They created an Intelligent Feedback Analysis tool that automates the extraction and analysis of customer comments and reviews across the energy sector. They used generative AI to develop a solution that might effectively analyze and extract valuable information from unstructured feedback data.

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AWS Machine Learning Blog

APRIL 4, 2023

When the FAQ is successfully created, you will receive another email informing you about it. Note that the automation identifies the file format that it must use while creating the FAQ by reading the uploaded file extension and as an exception case by the prefix of header_ for the CSV document with a header.

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IBM Journey to AI blog

FEBRUARY 6, 2024

A CMP creates a single pane of glass (SPOG) that provides enterprise-wide visibility into multiple sources of information and data. Automation Automation tools are a significant feature of cloud-based infrastructure. Automation Automation tools are a significant feature of cloud-based infrastructure.

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IBM Journey to AI blog

DECEMBER 19, 2023

Stage 1: Development automation Infrastructure automation (IaC) and pipeline automation are self-contained within the development team, which makes automation a great place to start. Automate firewall via generation of resource files from IaC execution & importing them to firewall systems as described here.

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Marktechpost

AUGUST 30, 2024

On top of dealing with complicated documentation and software development kits (SDKs), existing cloud-native database services necessitate even more DevOps to orchestrate individual database instances: schema migrations, connection pooling, versioning across cases, etc.

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Unite.AI

NOVEMBER 17, 2023

Automated Code Review and Analysis AI can review and analyze code for potential vulnerabilities. AI recommends safer libraries, DevOps methods, and a lot more. Automated Patch Generation Beyond identifying possible vulnerabilities, AI is helpful in suggesting or even generating software patches when unpredictable threats appear.

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IBM Journey to AI blog

MAY 31, 2023

This allows for greater automation and optimization of production processes, leading to increased efficiency, productivity and flexibility in manufacturing. For more information about the concept, see the link below. We assume readers are familiar with Industry 4.0, Learn more about Industry 4.0 Learn more about Industry 4.0

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Unite.AI

NOVEMBER 28, 2023

AI can pre-define processes, automate repetitive workflows, set reminders, filter, and tag projects, helping team members focus on other important business needs. The IT sector is also beginning to understand how the benefits of advances in natural language processing can aid DevOps, SecOps, and CloudOps teams.

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IBM Journey to AI blog

JANUARY 15, 2024

Chief information officers (CIOs) must work directly with CEOs and other business leaders to align on the cultural changes needed to make a digital transformation successful. Trend: Automation Like AI and ML, automation will be a huge driver of human productivity.

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IBM Journey to AI blog

JANUARY 26, 2024

At Instana, addressing our customers’ needs and creating a simple tool that is easy to use is fundamental to helping our DevOps and SRE teams reduce burnout rates, allowing them to excel in what they do best. Mobile developers will have all the information in a single tool. You asked, and we delivered!

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IBM Journey to AI blog

JUNE 2, 2023

Automate routine tasks to free up time to provide personalized services and build relationships with families. IBM Operational Decision Manager (ODM) enables businesses to respond to real-time data by applying automated decisions, enabling business users to develop and maintain operational systems decision logic.

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Marktechpost

JULY 24, 2024

A pre-annotated ground truth dataset is not necessary for this fully automated procedure. The team has introduced a fully automated, quantitative, exam-based evaluation technique that can be scaled up or down. A methodological enhancement plan within the automated exam-generating process has also been released.

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AWS Machine Learning Blog

NOVEMBER 7, 2024

These indexes enable efficient searching and retrieval of part data and vehicle information, providing quick and accurate results. The agents also automatically call APIs to perform actions and access knowledge bases to provide additional information.

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IBM Journey to AI blog

JULY 16, 2024

Mainframe modernization empowers organizations to harness the latest technologies and tools, such as cloud computing, artificial intelligence, machine learning and DevOps, to drive innovation and business growth. With  IBM Z® Digital Integration Hub , developers can consolidate and curate information stored on the mainframe.

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Unite.AI

SEPTEMBER 4, 2024

This significant increase allows Claude to process and understand vast amounts of information in a single interaction. These enterprise-grade security features are designed to protect sensitive information and provide organizations with greater control over their AI interactions.

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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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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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IBM Journey to AI blog

SEPTEMBER 17, 2024

The appearance of mobile apps and the cloud incorporated new levels of automation and agility into the development lifecycle. It also improves the effectiveness and consistency across tasks and participants by reducing the number of handovers, automating or removing low-value mundane tasks, and facilitating access to knowledge and onboarding.

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IBM Journey to AI blog

FEBRUARY 15, 2024

In DevOps , the concept of observability has evolved to refer to the end-to-end visibility of a system state as dictated by telemetry data. Kubernetes tends to capture data “snapshots,” or information captured at a specific point in the lifecycle.

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