CIO

SEPTEMBER 8, 2022

Machine learning (ML) is a commonly used term across nearly every sector of IT today. This article will share reasons why ML has risen to such importance in cybersecurity, share some of the challenges of this particular application of the technology and describe the future that machine learning enables.

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CIO

NOVEMBER 16, 2023

It’s the fastest-moving new technology in history. A large language model (LLM) is a type of gen AI that focuses on text and code instead of images or audio, although some have begun to integrate different modalities. That question isn’t set to the LLM right away. Instead, it’s processed first.

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TechCrunch

AUGUST 25, 2021

Meet Taktile , a new startup that is working on a machine learning platform for financial services companies. This isn’t the first company that wants to leverage machine learning for financial products. They could use that data to train new models and roll out machine learning applications.

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Dzone - DevOps

OCTOBER 16, 2024

In our industry, few pairings have been as exciting and game-changing as the union of artificial intelligence (AI) and machine learning (ML) with cloud-native environments. Before we explore the synergy between AI/ML and cloud-native technologies, let’s set a few definitions.

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InfoQ Culture Methods

JANUARY 23, 2023

Technology has taken significant leaps within the last few years, introducing advancements that have taken us further into the digital age — impacting the software testing industry and we're seeing advances in machine learning, artificial intelligence, and the neural networks making them possible.

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TechCrunch

APRIL 7, 2021

One of the more tedious aspects of machine learning is providing a set of labels to teach the machine learning model what it needs to know. It also announced a new tool called Application Studio that provides a way to build common machine learning applications using templates and predefined components.

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Ooda Loop

OCTOBER 28, 2024

Quantum machine learning (QML) is at the nexus of two very hyped topics: artificial intelligence and quantum computing. Ignoring the AI hype, let’s explore how realistic quantum machine learning is.

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TechCrunch

FEBRUARY 23, 2022

QuantrolOx , a new startup that was spun out of Oxford University last year, wants to use machine learning to control qubits inside of quantum computers. The company’s technology is technology-agnostic, and could be applied to all of the standard quantum computing technologies. million (or about $1.9

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Xebia

APRIL 2, 2024

After months of crunching data, plotting distributions, and testing out various machine learning algorithms you have finally proven to your stakeholders that your model can deliver business value. Serving a model cannot be too hard, right? Many different factors influence the architecture around a machine learning model.

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TechCrunch

JANUARY 25, 2023

Tanmay Chopra Contributor Share on Twitter Tanmay Chopra works in machine learning at AI search startup Neeva , where he wrangles language models large and small. Last summer could only be described as an “AI summer,” especially with large language models making an explosive entrance.

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CIO

NOVEMBER 29, 2022

In a bid to help enterprises offer better customer service and experience , Amazon Web Services (AWS) on Tuesday, at its annual re:Invent conference, said that it was adding new machine learning capabilities to its cloud-based contact center service, Amazon Connect. Cloud Computing, Enterprise Applications, Machine Learning

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CIO

SEPTEMBER 29, 2022

s unique about the [chief data officer] role is it sits at the cross-section of data, technology, and analytics,â?? s unique about the role is it sits at the cross-section of data, technology, and analytics. Here are some edited excerpts of that conversation. s a unique role and itâ??s s been a great journey.

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The Crazy Programmer

DECEMBER 25, 2021

Artificial Intelligence is a science of making intelligent and smarter human-like machines that have sparked a debate on Human Intelligence Vs Artificial Intelligence. Will Human Intelligence face an existential crisis? Impacts of Artificial Intelligence on Future Jobs and Economy.

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TechCrunch

JANUARY 27, 2021

Pinecone , a new startup from the folks who helped launch Amazon SageMaker, has built a vector database that generates data in a specialized format to help build machine learning applications faster, something that was previously only accessible to the largest organizations.

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CIO

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. Real-time AI involves processing data for making decisions within a given time frame.

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CIO

SEPTEMBER 11, 2024

However, IT users depended on difficult-to-support legacy systems, with member data spread over different technologies and each specialty unit often partial to a separate solution. When Colsubsidio evaluated the situation, managers realized that recent technological innovations could quickly solve the dilemma.

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CIO

JULY 24, 2024

Large language models (LLMs) are hard to beat when it comes to instantly parsing reams of publicly available data to generate responses to general knowledge queries. The key to this approach is developing a solid data foundation to support the GenAI model.

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TechCrunch

NOVEMBER 16, 2021

Machine learning is exploding, and so are the number of models out there for developers to choose from. While Google can help, it’s not really designed as a model search engine. working on machine learning projects, where they saw the kinds of research challenges they are attempting to fix with CatalyzeX.

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TechCrunch

MAY 9, 2022

That consumer bet hasn’t paid off, but the company kept iterating on its natural language processing technology. With Transformers, you can leverage popular NLP models, such as BERT, GPT-2, T5 or DistilBERT and use those models to manipulate text in one way or another.

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CIO

OCTOBER 4, 2022

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. more machine learning use casesacross the company. By Bryan Kirschner, Vice President, Strategy at DataStax.

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CIO

SEPTEMBER 26, 2023

The new platform would alleviate this dilemma by using machine learning (ML) algorithms, along with source data accessed by SAP’s Data Warehouse Cloud. The annual ceremony celebrates organizations incorporating SAP technologies to effect change. Artificial Intelligence

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Harvard Business Review

JANUARY 23, 2024

Machine learning might be the world’s most important general-purpose technology, but it’s notoriously difficult to launch. Outside of Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What’s missing?

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CIO

NOVEMBER 18, 2024

In the quest to reach the full potential of artificial intelligence (AI) and machine learning (ML), there’s no substitute for readily accessible, high-quality data. Achieving ROI from AI requires both high-performance data management technology and a focused business strategy.

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TechCrunch

SEPTEMBER 2, 2021

Explosion , a company that has combined an open source machine learning library with a set of commercial developer tools, announced a $6 million Series A today on a $120 million valuation. “Fundamentally, Explosion is a software company and we build developer tools for AI and machine learning and natural language processing. .

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TechCrunch

NOVEMBER 1, 2021

OctoML , a Seattle-based startup that helps enterprises optimize and deploy their machine learning models, today announced that it has raised an $85 million Series C round led by Tiger Global Management. ” OctoML raises $28M Series B for its machine learning acceleration platform.

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DevOps.com

APRIL 21, 2023

With the rapid advancement of artificial intelligence (AI) and machine learning (ML), companies need to understand and evaluate their readiness to adopt these technologies and drive material business outcomes.

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DevOps.com

OCTOBER 5, 2020

Data has proven to be a competitive differentiator for decades and the adoption of machine learning can now deliver even greater insights from data. Adopting machine learning requires a technology environment with processes and platforms that can deliver innovation at scale.

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Cloudera

NOVEMBER 1, 2023

And so we are thrilled to introduce our latest applied ML prototype (AMP) — a large language model (LLM) chatbot customized with website data using Meta’s Llama2 LLM and Pinecone’s vector database. We invite you to explore the improved functionalities of this latest AMP.

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CTOvision

FEBRUARY 12, 2020

Read Bernard Marr’s article about how to use artificial intelligence and machine learning in engineering on Forbes : Just like with many other industries, artificial intelligence and machine learning are changing engineering.

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AWS Machine Learning - AI

OCTOBER 1, 2024

Over the last 18 months, AWS has announced more than twice as many machine learning (ML) and generative artificial intelligence (AI) features into general availability than the other major cloud providers combined. These services play a pivotal role in addressing diverse customer needs across the generative AI journey.

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