AWS Machine Learning - AI

APRIL 11, 2024

Looking back at AWS re:Invent 2023 , Jensen Huang, founder and CEO of NVIDIA, chatted with AWS CEO Adam Selipsky on stage, discussing how NVIDIA and AWS are working together to enable millions of developers to access powerful technologies needed to rapidly innovate with generative AI. Project Ceiba has also been a focus in media coverage.

Generative AI 93

Generative AI Artificial Inteligence AWS Innovation 93

CIO

DECEMBER 21, 2023

Quality and volume of data, scalability of solution, and ability to process inference effectively are key aspects to enable efficient AI solutions. Scalability is a crucial component, particularly when deployed at the edge, bringing services closer to where customers are located. unique users and 49.75

Artificial Inteligence 264

Artificial Inteligence Generative AI Artificial Intelligence Scalability 264

CIO

FEBRUARY 5, 2024

The company aims to provide customers with a banking journey that is not just efficient and secure, but also innovative, engaging, and memorable. Our commitment to being a challenger bank drives us to offer innovative, digital-first solutions like Mashreq Neo and Neo NXT, which provide unmatched convenience and efficiency.

Banking 299

Banking Artificial Inteligence Blockchain Compliance 299

CIO

FEBRUARY 16, 2024

For most organizations, a shift to the cloud brings scalability, access to innovative tools, and the possibility of cost savings. ADP’s innovation lab has already developed many machine learning models and predictive analytics that exploit the company’s data cloud. An early partner of Amazon, the Roseburg, N.J.-based

Cloud 290

Cloud Generative AI AWS Azure 290

CIO

AUGUST 24, 2023

It’s our new reality and will be the most important and disruptive innovation of our lifetime. At the same time, the pace of innovation is breathtaking. On the other hand, leading companies will use an enterprise-ready stack that is secure, scalable, and real time, with a low TCO. The market and opportunity ahead are massive.

Generative AI 246

Generative AI Artificial Inteligence Open Source Scalability 246

TechCrunch

NOVEMBER 16, 2020

Arrikto , a startup that wants to speed up the machine learning development lifecycle by allowing engineers and data scientists to treat data like code, is coming out of stealth today and announcing a $10 million Series A round. “We make it super easy to set up end-to-end machine learning pipelines. .

Artificial Inteligence 280

Artificial Inteligence Machine Learning Open Source Software Development 280

Apiumhub

MARCH 12, 2024

As technology advances, innovations are shaping the future of cloud computing trends. Implementation: Using edge computing frameworks like AWS IoT Greengrass or Azure IoT Edge to deploy machine learning models directly on edge devices for real-time data analysis.

Trends 52

Trends Innovation Cloud Serverless 52

CIO

MARCH 27, 2024

Jeff Wong, global chief innovation officer at EY, says even if they’re not yet required to make a change, CIOs can already start planning NIST-approved algorithms into their cybersecurity upgrades. CIOs can also ensure they assign somebody to lead in the transition, and that they have the funding and expert staff they need.

Government 351

Government Machine Learning Artificial Inteligence Research 351

CIO

FEBRUARY 22, 2024

With the aim to accelerate innovation and transform its digital infrastructures and services, Ferrovial created its Digital Hub to serve as a meeting point where research and experimentation with digital strategies could, for example, provide new sources of income and improve company operations.

Artificial Inteligence 264

Artificial Inteligence IoT Technical Review Artificial Intelligence 264

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.

Artificial Inteligence 362

Artificial Inteligence Technical Review Artificial Intelligence ChatGPT 362

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.

Artificial Inteligence 244

Artificial Inteligence Cloud Generative AI Google Cloud 244

CIO

AUGUST 8, 2023

Advanced analytics: Edge computing empowers frontline workers with machine learning algorithms for predictive and prescriptive recommendations for more rapid task execution. Examples include artificial intelligence and machine learning, digital twins, augmented reality, computer vision, and industrial metaverse technologies.

Industry 246

Industry Artificial Inteligence Artificial Intelligence Machine Learning 246

CIO

MARCH 11, 2024

Nearly half of CIOs and close to a third line-of-business managers have cited AI and machine learning as the most strategically important area of concern this year, according to Foundry’s 2024 State of the CIO Study. Build a maturity roadmap on the overall innovation strategy. The following is an outline of that approach.

Artificial Inteligence 173

Artificial Inteligence Agile Innovation Artificial Intelligence 173

Cloudera

OCTOBER 13, 2021

Imagine if you had to explain what machine learning is and how to use it. Cloudera produced a series of ebooks — Production Machine Learning For Dummies , Apache NiFi For Dummies , and Apache Flink For Dummies (coming soon) — to help simplify even the most complex tech topics. There’s no need to panic.

Machine Learning 74

Machine Learning Artificial Inteligence Data IoT 74

CIO

APRIL 30, 2024

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. Edge storage solutions: AI-generated content—such as images, videos, or sensor data—requires reliable and scalable storage. billion in 2027 with a compound annual growth rate (CAGR) of 86.1%

Artificial Inteligence 264

Artificial Inteligence Storage Artificial Intelligence Retail 264

CIO

AUGUST 24, 2023

Multinational data infrastructure company Equinix has been capitalizing on machine learning (ML) since 2018, thanks to an initiative that uses ML probabilistic modeling to predict prospective customers’ likelihood of buying Equinix offerings — a program that has contributed millions of dollars in revenue since its inception.

Artificial Inteligence 244

Artificial Inteligence Minimum Viable Product Machine Learning Artificial Intelligence 244

CIO

AUGUST 14, 2023

The objectives were lofty: integrated, scalable, and replicable enterprise management; streamlined business processes; and visualized risk control, among other aims, all fully integrating finance, logistics, production, and sales. You can freely access their Innovation Awards pitch deck here.

KPI 246

KPI Construction Analytics Groups 246

OTS Solutions

JUNE 2, 2023

Emerging Technologies in Mobile Apps for Predictive Maintenance Emerging technologies such as artificial intelligence and machine learning are being integrated into predictive maintenance mobile apps to improve their effectiveness. This data can then be analyzed using machine learning algorithms to predict when maintenance is required.

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Xicom

MAY 4, 2021

Imagine what all other users would have learned till now, and how will the union of Machine Learning with mobile app development behave post-2021. What makes mobile app development companies in Dubai and worldwide after this amalgamation “Machine learning with Mobile Apps”? Hello “Machine Learning” .

Artificial Inteligence 52

Artificial Inteligence Machine Learning Mobile Development 52

IDC

JUNE 24, 2019

However, adoption level is at a tipping point; investment in AI has tripled, and recent technical innovations promise to make AI not just an underlying technology capability, but a fundamental business tool. Here are just three of the technical innovations that enterprises can use to better leverage the disruptive power of AI: 1.

Artificial Inteligence 105

Artificial Inteligence Innovation Enterprise Machine Learning 105

CIO

MARCH 13, 2023

Moving those systems to the cloud to make them more scalable, more secure, and more accessible – and enhancing them with advanced analytics and AI capabilities – is an important next step. For example, taking advantage of AWS’s AI and machine learning capabilities to do population and health modeling much faster than you could before.”

Healthcare 278

Healthcare Artificial Inteligence Artificial Intelligence Machine Learning 278

O'Reilly Media - Data

OCTOBER 31, 2019

Theodore Summe offers a glimpse into how Twitter employs machine learning throughout its product. Megan Kacholia explains how Google’s latest innovations provide an ecosystem of tools for developers, enterprises, and researchers who want to build scalable ML-powered applications.

Machine Learning 190

Machine Learning Artificial Inteligence IoT Open Source 190

CIO

JANUARY 17, 2024

Plus, it helps with scalability — helping to handle large volumes of data and complex analysis without compromising performance or quality through cloud computing — and innovation by incorporating new features and functionalities into its deliverables, using the latest technologies and tools available.

Artificial Inteligence 299

Artificial Inteligence Artificial Intelligence Analysis Azure 299

CIO

AUGUST 7, 2023

Softchoice’s strategies align perfectly with VMware’s portfolio and innovative solutions,” Swadish says. After moving to the new environment, Softchoice’s customer was more agile, scalable, and secure. They were able to grow faster, taking on new demand and supporting it with confidence.

Strategy 243

Strategy Cloud Disaster Recovery Data Center 243

Dzone - DevOps

APRIL 6, 2023

The field of machine learning has advanced considerably in recent years, enabling us to tackle complex problems with greater ease and accuracy. However, the process of building and training machine learning models can be a daunting task, requiring significant investments of time, resources, and expertise.

Serverless 90

Serverless AWS Machine Learning Artificial Inteligence 90

CIO

MARCH 26, 2024

Collaboration with external partners allows enterprises to enhance their IT prowess, drive innovation, and bridge skill gaps more effectively amid a swiftly evolving digital landscape,” says Arpita Dwivedi, practice director at Everest Group. Staff augmentation and outsourcing are nothing new. IT Skills, IT Strategy, Outsourcing

Technical Review 312

Technical Review Technical Advisors Development Team Review Artificial Inteligence 312

CIO

OCTOBER 18, 2023

The innovation applied to the business, and use of technological tools that support it, is updated at great speed, and we must be capable of providing the best response to customer needs,” he says, adding that digital transformation isn’t a specific milestone.

Company 321

Company Artificial Inteligence Insurance Technical Review 321

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.

Airlines 363

Airlines Analytics Travel Weak Development Team 363

CIO

DECEMBER 20, 2023

As transformation is an ongoing process, enterprises look to innovations and cutting-edge technologies to fuel further growth and open more opportunities. The partner will be able to assist with customising solutions to the specific business outcomes for the enterprise, integrate with existing systems seamlessly, and foster scalability.

Generative AI 321

Generative AI Software Review Technical Review Weak Development Team 321

CIO

OCTOBER 1, 2022

We do that by leveraging data, AI, and automation with agility and scale across all dimensions of our business, accelerating innovation and increasing productivity in everything we do.”. These things have not been done at this scale in the manufacturing space to date, he says.

Artificial Inteligence 363

Artificial Inteligence Azure IoT Analytics 363

TechCrunch

DECEMBER 14, 2022

Verma is the director of Princeton’s Keller Center for Innovation in Engineering Education while Gopalakrishnan was (until recently) an IBM fellow, having worked at the tech giant for nearly 18 years. sets of AI algorithms) while remaining scalable.

Hardware 216

Hardware Development Machine Learning Artificial Inteligence 216

OTS Solutions

DECEMBER 12, 2023

Overview of AI in the Manufacturing Industry AI technologies, such as machine learning and robotic process automation, can enhance manufacturing operations by increasing efficiency, improving quality control, and reducing costs. AI-powered robots can perform repetitive and dangerous tasks, minimizing human intervention.

Artificial Inteligence 130

Artificial Inteligence Industry Artificial Intelligence Machine Learning 130

CIO

OCTOBER 24, 2023

The paradigm shift towards the cloud has dominated the technology landscape, providing organizations with stronger connectivity, efficiency, and scalability. AI fuels cybersecurity innovation Artificial intelligence will have a profound impact on the cybersecurity industry – and these capabilities aren’t strangers to Prisma Cloud.

Artificial Inteligence 299

Artificial Inteligence Security Cloud Weak Development Team 299

Perficient

NOVEMBER 28, 2023

The essence of our mission lies in building innovative products aimed to identify external threats, prioritizing the safety of vehicles, passengers, drivers, and pedestrians. This results in scalable and flexible software , able to adapt to changing demands and decoupled to offer flexibility in services as the challenge arises.

Innovation 52

Innovation Technology Artificial Inteligence Artificial Intelligence 52

CIO

JULY 31, 2022

But most importantly, without strong connectivity, businesses can’t take advantage of the newest advancements in technology such as hybrid multi-cloud architecture, Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML) and edge micro data centre deployment. What CIOs can achieve through partnerships.

Artificial Inteligence 245

Artificial Inteligence Strategy Artificial Intelligence Weak Development Team 245

Capgemini

JUNE 14, 2023

RAN Intelligent Controller – the innovation engine in O-RAN Ashish Yadav 14 June 2023 Facebook Twitter Linkedin As the innovation engine of O-RAN, the RAN Intelligent Controller (RIC) enables intelligence and pushes limits with xApps and rApps. RIC xApps and rApps are developing innovative solutions that help reduce energy bills.

Innovation 52

Innovation Engineering Energy Network 52

AWS Machine Learning - AI

APRIL 16, 2024

With the AWS Nitro System , we delivered a first-of-its-kind innovation on behalf of our customers. By design, there is no mechanism for any Amazon employee to access a Nitro EC2 instance that customers use to run their workloads, or to access data that customers send to a machine learning (ML) accelerator or GPU.

Generative AI 113

Generative AI AWS Artificial Inteligence Artificial Intelligence 113