CIO

DECEMBER 10, 2024

Python Python is a programming language used in several fields, including data analysis, web development, software programming, scientific computing, and for building AI and machine learning models. Its widespread use in the enterprise makes it a steady entry on any in-demand skill list.

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CableLabs

SEPTEMBER 17, 2024

In this blog post, we explore some of the key topics driving today’s optical industry, focusing on artificial intelligence and machine learning (AI/ML). Broadband operators are increasingly operating data centers, leveraging their networks and distributed footprint to bring scalable computing closer to customers. Let’s dig in.

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Artificial Inteligence Machine Learning Data Center Conference 98

TechCrunch

APRIL 20, 2023

Fast-forward to today and CoreWeave provides access to over a dozen SKUs of Nvidia GPUs in the cloud, including H100s, A100s, A40s and RTX A6000s, for use cases like AI and machine learning, visual effects and rendering, batch processing and pixel streaming. ” It’ll also be put toward expanding CoreWeave’s team.

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TechCrunch

NOVEMBER 22, 2021

CEO and co-founder Han Xiao , who co-founded the company together with Nan Wang and Bing He , explained that the idea behind neural search is to use deep learning neural networks to go beyond traditional keyword-based search tools. “In this case, it’s mostly a mathematic vector — 100-dimensional vectors. ”

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TechCrunch

MARCH 23, 2022

With offices in Tel Aviv and New York, Datagen “is creating a complete CV stack that will propel advancements in AI by simulating real world environments to rapidly train machine learning models at a fraction of the cost,” Vitus said. ” Investors that had backed Datagen’s $18.5

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Automotive Artificial Inteligence Machine Learning VR 242

CIO

OCTOBER 20, 2024

The partnership is set to trial cutting-edge AI and machine learning solutions while exploring confidential compute technology for cloud deployments. Core42 equips organizations across the UAE and beyond with the infrastructure they need to take advantage of exciting technologies like AI, Machine Learning, and predictive analytics.

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Organization Machine Learning Artificial Inteligence Infrastructure 167

AWS Machine Learning - AI

OCTOBER 29, 2024

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. Conclusion In this post, we’ve introduced a scalable and efficient solution for automating batch inference jobs in Amazon Bedrock. This automatically deletes the deployed stack.

Scalability 114

Scalability Lambda Generative AI AWS 114

CIO

JULY 2, 2024

This scalability allows you to expand your business without needing a proportionally larger IT team.” Many AI systems use machine learning, constantly learning and adapting to become even more effective over time,” he says. Easy access to constant improvement is another AI growth benefit.

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Artificial Inteligence Software Review Technical Advisors Technical Review 215

AWS Machine Learning - AI

SEPTEMBER 26, 2024

Trained on the Amazon SageMaker HyperPod , Dream Machine excels in creating consistent characters, smooth motion, and dynamic camera movements. To accelerate iteration and innovation in this field, sufficient computing resources and a scalable platform are essential. Outside of work, he enjoys reading and traveling.

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Case Study Video Training Scalability 115

TechCrunch

MARCH 30, 2023

.” What makes Oscilar different, Narkhede says, is the platform’s heavy reliance on AI and machine learning. But not just any AI — Narkhede claims that Oscilar’s AI, developed in-house, requires much less first- and third-party data about past fraud incidents from customers to train machine learning models.

Fintech 219

Fintech Machine Learning Artificial Inteligence Banking 219

TechCrunch

JANUARY 23, 2023

The consulting giant reportedly paid around $50 million for Iguazio, a Tel Aviv-based company offering an MLOps platform for large-scale businesses — “MLOps” referring to a set of tools to deploy and maintain machine learning models in production.

Machine Learning 222

Machine Learning Artificial Inteligence ChatGPT Continuous Delivery 222

CIO

OCTOBER 20, 2023

Embrace scalability One of the most critical lessons from Bud’s journey is the importance of scalability. For Bud, the highly scalable, highly reliable DataStax Astra DB is the backbone, allowing them to process hundreds of thousands of banking transactions a second. Artificial Intelligence, Machine Learning

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Google Cloud Artificial Inteligence Development Team Review Banking 197

CIO

APRIL 12, 2024

These roles include data scientist, machine learning engineer, software engineer, research scientist, full-stack developer, deep learning engineer, software architect, and field programmable gate array (FPGA) engineer. It is used to execute and improve machine learning tasks such as NLP, computer vision, and deep learning.

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Open Source Machine Learning Artificial Inteligence Generative AI 187

CIO

OCTOBER 3, 2024

Rather than pull away from big iron in the AI era, Big Blue is leaning into it, with plans in 2025 to release its next-generation Z mainframe , with a Telum II processor and Spyre AI Accelerator Card, positioned to run large language models (LLMs) and machine learning models for fraud detection and other use cases.

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TechCrunch

DECEMBER 14, 2022

DARPA also funded Verma’s research into in-memory computing for machine learning computations — “in-memory,” here, referring to running calculations in RAM to reduce the latency introduced by storage devices. sets of AI algorithms) while remaining scalable.

Hardware 216

Hardware Development Artificial Inteligence Machine Learning 216

CIO

MAY 9, 2024

These colossal machines underpinned critical functions, from financial transactions to scientific simulations, showcasing unparalleled reliability, scalability, and performance. Moreover, mainframes continue to evolve, integrating emerging technologies like AI and machine learning to meet the demands of tomorrow.

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CIO

JANUARY 26, 2024

Carnegie Mellon University The Machine Learning Department of the School of Computer Science at Carnegie Mellon University was founded in 2006 and grew out of the Center for Automated Learning and Discovery (CALD), itself created in 1997 as an interdisciplinary group of researchers with interests in statistics and machine learning.

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Artificial Inteligence Programming Artificial Intelligence Machine Learning 158

CIO

OCTOBER 13, 2023

Machine learning engineer Machine learning engineers are tasked with transforming business needs into clearly scoped machine learning projects, along with guiding the design and implementation of machine learning solutions.

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Generative AI Company Machine Learning Artificial Inteligence 215

TechCrunch

SEPTEMBER 27, 2021

Machine learning and other artificial intelligence applications add even more complexity. “With a step-function increase in folks working/studying from home and relying on cloud-based SaaS/PaaS applications, the deployment of scalable hardware infrastructure has accelerated,” Gajendra said in an email to TechCrunch.

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Artificial Inteligence Applications Cloud Artificial Intelligence 246

CIO

DECEMBER 20, 2024

AI and machine learning models. According to data platform Acceldata , there are three core principles of data architecture: Scalability. Modern data architectures must be scalable to handle growing data volumes without compromising performance. Scalable data pipelines. Application programming interfaces.

Architecture 147

Architecture Data Fractional CTO Technical Review 147

CIO

JULY 5, 2024

The ability to rent hospital beds gives healthcare organizations added flexibility and scalability when caring for patients, but those benefits can be lost when the process for ordering them is less than ideal. Read CIO’s RPA buyer’s guide to learn who are the leading vendors and what to look for in RPA tools.

Machine Learning 158

Machine Learning Artificial Inteligence Healthcare System 158

CIO

MARCH 13, 2023

It is clear that artificial intelligence, machine learning, and automation have been growing exponentially in use—across almost everything from smart consumer devices to robotics to cybersecurity to semiconductors. In 2023, there is no doubt that artificial intelligence and automation will permeate every aspect of our lives.

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Artificial Inteligence Technical Review Artificial Intelligence Technology 217

TechCrunch

JANUARY 25, 2021

Through its Area Yield Index Insurance product, the insurtech startup leverages machine learning, crop cuts experiments and data points relating to weather patterns and farmer losses, to build products that cater to various risks. Pula is solving this problem by using technology and data. The pair both act as co-CEOs.

Insurance 360

Insurance Artificial Inteligence Banking Artificial Intelligence 360

CIO

OCTOBER 18, 2023

In September 2021, Fresenius set out to use machine learning and cloud computing to develop a model that could predict IDH 15 to 75 minutes in advance, enabling personalized care of patients with proactive intervention at the point of care. CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics

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CIO

OCTOBER 24, 2024

TRECIG, a cybersecurity and IT consulting firm, will spend more on IT in 2025 as it invests more in advanced technologies such as artificial intelligence, machine learning, and cloud computing, says Roy Rucker Sr., We’re consistently evaluating our technology needs to ensure our platforms are efficient, secure, and scalable,” he says.

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Artificial Inteligence Data Center Generative AI Artificial Intelligence 200

TechCrunch

AUGUST 9, 2022

The technology is proven to reduce overhead costs and food waste by instructing crews to only cook as much as they need and is highly scalable.” It maximizes efficiency, enhances quality and reduces food waste through its proprietary ‘always-on’ kitchen management system. ” Image Credits: PreciTaste.

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CIO

JANUARY 4, 2024

Setting up Articul8 as a separate company will help Intel stimulate demand for its AI hardware, including Xeon scalable processors and Gaudi accelerators — but the Articul8 platform also supports a range of hybrid infrastructure alternatives, including Nvidia’s. AMD too has been building up the software component of its AI stack.

Enterprise 183

Enterprise Company Generative AI Telecommunications 183

CIO

DECEMBER 22, 2022

They self-organize around goals and seek to reduce “heroism” in favor of sustainable and scalable teams and processes. Where DataOps fits Enterprises today are increasingly injecting machine learning into a vast array of products and services and DataOps is an approach geared toward supporting the end-to-end needs of machine learning.

Analytics 195

Analytics Data Engineering Machine Learning Artificial Inteligence 195

TechCrunch

AUGUST 24, 2023

Compatible with existing cloud environments, machine learning frameworks like Google’s TensorFlow and Meta’s PyTorch and even other AI accelerator engines, Modular’s engine, currently in closed preview, lets developers import trained models and run them up to 7.5 Image Credits: Modular That’s reasonable.

Tools 197

Tools Technical Cofounder Hardware Machine Learning 197

TechCrunch

MARCH 23, 2021

Orbillion couples that with a high throughput screening and machine learning software system to build out a database of optimized tissue and media combinations. “The key to making lab grown meat work scalably is choosing the right cells cultured in the most efficient way possible,” Jacobus wrote.

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CTO Machine Learning Artificial Inteligence Pharmaceuticals 252

CIO

DECEMBER 20, 2022

In this article, discover how HPE GreenLake for EHR can help healthcare organizations simplify and overcome common challenges to achieve a more cost-effective, scalable, and sustainable solution. But as with many industries, the global pandemic served as a cloud accelerant.

Healthcare 202

Healthcare Disaster Recovery Organization Artificial Inteligence 202

TechCrunch

OCTOBER 18, 2021

The basic idea makes perfect sense: build a better small-scale simulation of a human body and use it to gather data that a machine learning system can easily interpret. ” Avalo uses machine learning to accelerate the adaptation of crops to climate change.

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Testing Artificial Inteligence Development Machine Learning 244

OTS Solutions

JULY 28, 2022

AI (artificial intelligence) and machine learning (learning by machines) have been getting a lot of attention lately as digital trends in many fields. By moving their services and processes to the cloud, financial service providers can make them more scalable, secure, and efficient. AI ( Artificial Intelligence ).

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Artificial Inteligence Blockchain Banking Fintech 204

CIO

SEPTEMBER 10, 2022

To handle the incredible volume that our customer service agents were dealing with, we used machine learning and automated ingestion and processing to help with the volume and to get our customers their refunds processed faster,” Mohan explains by way of example. The importance of culture.

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CIO

NOVEMBER 19, 2024

Scalability issues Failing: AI solutions that work in controlled environments may struggle to scale effectively in real-world conditions. Solution: Conduct thorough scalability testing and use modular architectures to facilitate easier scaling.

Generative AI 205

Generative AI Compliance How To Scalability 205

CIO

NOVEMBER 12, 2024

The hunch was that there were a lot of Singaporeans out there learning about data science, AI, machine learning and Python on their own. Because a lot of Singaporeans and locals have been learning AI, machine learning, and Python on their own. I needed the ratio to be the other way around! And why that role?

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Artificial Inteligence Weak Development Team Training Artificial Intelligence 167

CIO

DECEMBER 1, 2023

LexisNexis has enjoyed many of the same benefits enterprises gain by moving to the cloud, including significant cost savings, scalability, agility, and speed of innovation. But perhaps the biggest benefit has been LexisNexis’ ability to swiftly embrace machine learning and LLMs in its own generative AI applications.

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