IBM Journey to AI blog

AUGUST 14, 2023

The effective use of IT resources to support business goals can be a game changer for any organization. But significant challenges delay the integration of transformative technology into business processes. Many organizational IT networks host tens of thousands of applications operating within their hybrid cloud network.

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IBM Journey to AI blog

APRIL 10, 2024

Where and how these applications are deployed will impact time to market and value realization. But it’s clear that CIOs who prioritize modernization capture greater returns from business transformation. CIOs can enable application modernization through several factors 1. How efficient is your release process?

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IBM Journey to AI blog

SEPTEMBER 21, 2023

Generative AI and large language models are poised to impact how we all access and use information. They also showcased how watsonx could enhance the power of Samsung’s SDS Zero Touch Mobility solution. ” CrushBank Crushbank demonstrated how they are using Watson Discovery and watsonx.ai and watsonx Assistant.

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IBM Journey to AI blog

NOVEMBER 8, 2023

TL2 — building on Power10’s high availability leadership with performance and scale enhancements to Live Kernel Update (designed to give the ability to update AIX without unplanned downtime), optimized file system performance and enhancements designed to improve AIX encryption performance and audit event checking.

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IBM Journey to AI blog

MARCH 20, 2024

Each year we see the challenges that enterprises face become more complex as they strive to keep up with the latest technologies, such as generative AI, and increasing customer expectations. But how can an enterprise ensure these priorities remain front and center, especially when working with third and fourth parties?

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Smart Data Collective

JUNE 3, 2021

There are a number of indicators that AI is going to be even more important in the near future. AI is going to be even more important as companies find new ways to use AI to create a more digitized workplace. Role of AI in Workplaces After the Pandemic Subsides. Hybrid workplaces will become the norm.

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IBM Journey to AI blog

FEBRUARY 14, 2024

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? The easy answer is mostly manual labor, although the day might come when much of what is now manual labor will be accomplished by robotic devices controlled by AI. We’re all amazed by what AI can do.

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ODSC - Open Data Science

JANUARY 18, 2024

If you are a data scientist, you may be wondering if you can transition into data engineering. In this blog post, we will discuss how you can become a data engineer if you are a data scientist. This skill can easily be transferred with you as you become a data engineer, but will likely see different uses.

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IBM Journey to AI blog

JULY 19, 2023

The exponential leap in generative AI is already transforming many industries: optimizing workflows , helping human teams focus on value added tasks and accelerating time to market. Life sciences industry is beginning to take notice and aims to leapfrog the technological advances.

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IBM Journey to AI blog

MAY 9, 2023

We stand on the frontier of an AI revolution. Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. It sounds like a joke, but it’s not, as anyone who has tried to solve business problems with AI may know.

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Smart Data Collective

SEPTEMBER 6, 2023

AI technology has significantly improved the entertainment industry. A growing number of streaming services such as Netflix have used AI algorithms to deliver more personalized content and improve the user experience for their customers. Overall, AI is driving major changes in the streaming industry.

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Snorkel AI

JUNE 9, 2023

Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions.

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Snorkel AI

JUNE 9, 2023

Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions.

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ODSC - Open Data Science

MARCH 8, 2024

Be sure to check out her talk, “ The AI Paradigm Shift: Under the Hood of a Large Language Models ,” there! These models, such as GPT-4, Llama-2, Mistral, and many others, have been trained on vast amounts of text data and can generate coherent and contextually relevant responses. However, they are not without limitations. What is RAG?

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IBM Journey to AI blog

AUGUST 1, 2023

As enterprises embrace generative AI to drive innovation, the combination of IBM’s AI stack, industry expertise and infrastructure can help them on their journeys. IBM also recently unveiled watsonx , our next-generation AI and data platform to help enterprises train, validate and deploy AI models.

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Precisely

MAY 30, 2024

This transition promises enhanced scalability, flexibility, and cost benefits, but it also introduces a set of challenges that businesses leveraging IBM AIX and IBM i systems must navigate – ranging from data synchronization, to testing, to planning for fallback in the event of problems.

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ODSC - Open Data Science

OCTOBER 18, 2023

A 2021 VentureBeat analysis suggests that 87% of AI models never make it to a production environment and an MIT Sloan Management Review article found that 70% of companies reported minimal impact from AI projects. Nevertheless, we are still left with the question: How can we do machine learning better?

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IBM Journey to AI blog

NOVEMBER 29, 2023

With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.

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IBM Journey to AI blog

APRIL 18, 2023

At this year’s National Association of Broadcasters (NAB) convention, the IBM sports and entertainment team accepted an Emmy® Award for its advancements in curating sports highlights through artificial intelligence (AI) and machine learning (ML). How did this come about?

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IBM Journey to AI blog

JUNE 14, 2023

Sometimes the problem with artificial intelligence (AI) and automation is that they are too labor intensive. Traditional AI tools, especially deep learning-based ones, require huge amounts of effort to use. This is often a very cumbersome exercise that takes significant amount of time to field an AI solution that yields business value.

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DataRobot Blog

NOVEMBER 15, 2022

Organizations are looking to deliver more business value from their AI investments, a hot topic at Big Data & AI World Asia. At the well-attended data science event, a DataRobot customer panel highlighted innovation with AI that challenges the status quo. Closing the Value Gap: Reducing AI Cycle Time.

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IBM Journey to AI blog

JUNE 26, 2023

By infusing artificial intelligence (AI) into IT operations , you can leverage the considerable power of natural language processing and machine learning models to automate and streamline operational workflows. The appeal of this hybrid cloud strategy is that you can have all the resources you need to assure application performance.

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Heartbeat

MAY 23, 2023

However, complicated deep learning algorithms can strain conventional cloud computing infrastructures, resulting in poorer processing rates, significant security risks, and expensive bandwidth costs. Edge computing may change how we think about deep learning. Standardizing model management can be tricky but there is a solution.

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Smart Data Collective

NOVEMBER 6, 2019

Smart city technology can use data to revolutionize what it means to live and work in a city. The question is, how will cities store all the information they need to get smart? Smart cities can store their data in three main locations: 1. AI-enabled cameras won’t stream everything they capture. In Hybrid Data Storage.

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The MLOps Blog

MARCH 15, 2023

Data professionals spend most of their time managing data in various forms – be it moving data across various systems, transforming, or processing the data to get meaningful insights. Data Ingestion : Involves raw data collection from origin and storage using architectures such as batch, streaming or event-driven.

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AWS Machine Learning Blog

OCTOBER 18, 2023

Purina used artificial intelligence (AI) and machine learning (ML) to automate animal breed detection at scale. The solution focuses on the fundamental principles of developing an AI/ML application workflow of data preparation, model training, model evaluation, and model monitoring.

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IBM Journey to AI blog

DECEMBER 1, 2023

To keep pace with the dynamic environment of digitally-driven business, organizations continue to embrace hybrid cloud, which combines and unifies public cloud, private cloud and on-premises infrastructure, while providing orchestration, management and application portability across all three. What is hybrid cloud ?

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IBM Journey to AI blog

MAY 10, 2023

For IBM, Think is all about how we support organizations in their digital transformation and help them compete in their markets via the use of technological innovation. As you’ve heard IBM CEO Arvind Krishna share many times, IBM is a hybrid cloud and artificial intelligence company.

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IBM Journey to AI blog

DECEMBER 20, 2023

Hybrid cloud has become the IT infrastructure of choice, providing the interoperability and portability organizations need to access data where and when they need it. Yet navigating the complexities of building and managing a hybrid environment poses unique challenges.

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AWS Machine Learning Blog

MAY 7, 2024

Based on a survey conducted by American Express in 2023, 41% of business meetings are expected to take place in hybrid or virtual format by 2024. This can have a negative impact in many ways, from delayed project timelines to loss of customer trust.

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IBM Journey to AI blog

JANUARY 29, 2024

A digital transformation is an overhauled, digital-first approach to how a business is run. The digital world is evolving quickly with new products and digital technologies that require vigorous digital transformation initiatives. Why digital transformation? Your business needs to be prepared to handle such an event.

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IBM Journey to AI blog

NOVEMBER 13, 2023

A pod operates one or more Linux containers and can run in multiples for scaling and failure resistance. Kubernetes’s declarative, API -driven infrastructure has helped free up DevOps and other teams from manually driven processes so they can work more independently and efficiently to achieve their goals.

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IBM Journey to AI blog

JULY 10, 2023

Many organizations have embraced the hybrid cloud for its flexibility, scalability and capacity to accelerate market deployment. Hybrid cloud enables businesses worldwide to promote data security and accessibility for various projects and analysis. Proper standardization can be challenging to achieve.

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Heartbeat

OCTOBER 12, 2023

These language models are breaking boundaries, venturing into a new era of AI — Multi-Modal Learning. In a world where words are just the beginning, AI is learning to speak the language of the senses. At its core, it encompasses integrating and interpreting diverse sensory inputs, including images, audio, videos, and more.

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IBM Journey to AI blog

SEPTEMBER 13, 2023

And just when we thought things were on their way back to a new “hybrid” normal, a curious new technology in generative AI seems poised to upend the world of operations yet again. Across media headlines, we see dark warnings about the existential risk of generative AI technologies to our culture and society.

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DataRobot Blog

MARCH 28, 2023

Now, more than ever, we know you and your AI teams are under pressure to drive significant and measurable business outcomes from your AI investments. Creating Impact with AI , we showcased all that we have been doing to help you implement, scale and govern your AI initiatives with the DataRobot AI Platform.

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IBM Journey to AI blog

NOVEMBER 14, 2023

Data monetization is a business capability where an organization can create and realize value from data and artificial intelligence (AI) assets. A value exchange system built on data products can drive business growth for your organization and gain competitive advantage.

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