CIO

MAY 8, 2024

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing. billion by 2025.

Innovation 255

Innovation Artificial Inteligence Data Serverless 255

Cloudera

MAY 30, 2024

The organization designs, develops, and manages IT processes, infrastructures, and applications tailored for banks and insurance companies to build and enhance their digital capabilities. TAI Solutions provides IT services and solutions to major players in the financial services industry, particularly in the banking and insurance sectors.

Analytics 81

Analytics Data Compliance Banking 81

O'Reilly Media - Data

APRIL 3, 2018

The growing role of data and machine learning cuts across domains and industries. Companies continue to use data to improve decision-making (business intelligence and analytics) and for automation (machine learning and AI). Data Science and Machine Learning sessions will cover tools, techniques, and case studies.

Machine Learning 159

Machine Learning Artificial Inteligence Company Case Study 159

CIO

SEPTEMBER 21, 2023

Generative AI touches every aspect of the enterprise, and every aspect of society,” says Bret Greenstein, partner and leader of the gen AI go-to-market strategy at PricewaterhouseCoopers. Gen AI is that amplification and the world’s reaction to it is like enterprises and society reacting to the introduction of a foreign body. “We

Artificial Inteligence 325

Artificial Inteligence Enterprise Trends ChatGPT 325

CIO

SEPTEMBER 26, 2023

Earlier this month, the company said it expects cloud revenue to grow 29% to 31% in the second quarter of 2024, driven by high demand for AI and generative A I workloads from enterprises. billion quarterly in cloud infrastructure. In December last year, Oracle launched a public cloud region in Chicago.

Cloud 361

Cloud Strategy Generative AI Data Center 361

CIO

AUGUST 29, 2022

Becoming a sustainable enterprise is no longer a “nice to have” priority – reducing a company’s carbon footprint and fighting climate change is now mainstream. Adopting a sustainable model mindset across the enterprise fosters an environment for collaboration, innovation, and entrepreneurship.

Sustainability 244

Sustainability Enterprise Artificial Inteligence Google Cloud 244

CIO

OCTOBER 13, 2023

In the next six to 12 months, some of the most popular anticipated uses for gen AI include content creation (42%), data analytics (53%), software development (41%), business insight (51%), internal customer support (45%), product development (40%), security (42%), and process automation (51%).

Generative AI 359

Generative AI Company Machine Learning Artificial Inteligence 359

CIO

NOVEMBER 8, 2023

As such, Kay’s biggest challenge in setting the stage for her digital ambitions — and one that has involved the entire C-suite — has been unifying the IT operations of Principal Financial’s individual businesses units in order to develop an enterprise-wide data foundation and cloud architecture on which to build its next-generation services.

Technical Review 312

Technical Review Software Review Generative AI Machine Learning 312

CIO

APRIL 30, 2024

Enterprises are moving computing resources closer to where data is created, making edge locations ideal for not only collecting and aggregating local data but also for consuming it as input for generative processes. Consider security cameras identifying intruders or drones inspecting infrastructure for defects. over 2023 2.

Artificial Inteligence 264

Artificial Inteligence Storage Artificial Intelligence Retail 264

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. Sound familiar?) It isn’t easy.

Artificial Inteligence 363

Artificial Inteligence Artificial Intelligence Machine Learning Agile 363

Cloudera

APRIL 9, 2021

And this blog will focus on Predictive Analytics. Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. Predictive Analytics – AI & machine learning. Data Collection – streaming data. Data Enrichment – data engineering.

Machine Learning 98

Machine Learning Artificial Inteligence Data Data Engineering 98

CIO

MAY 16, 2024

The high-end organic produce and fresh meats distributor envisions IT — analytics and AI, specifically — as the key to more efficient distribution logistics and five-star customer experience. What attracted me to come here is I’ve done a lot of enterprise work but the growth in this industry is going to be tremendous.”

Artificial Inteligence 261

Artificial Inteligence IoT Transportation Analytics 261

TechCrunch

AUGUST 5, 2021

The platform lets companies design and deploy AI and analytics apps, turn raw data into advanced analytics and design machine learning models. The company now has about 450 enterprise clients, including Unilever, Merck, GE, Ubisoft and NXP. Enterprise AI 2.0:

Artificial Inteligence 250

Artificial Inteligence Machine Learning B2B Analytics 250

CIO

DECEMBER 6, 2023

The migration, still in its early stages, is being designed to benefit from the learned efficiencies, proven sustainability strategies, and advances in data and analytics on the AWS platform over the past decade. In total, the company’s operations rely on 700 applications.

Sustainability 244

Sustainability Artificial Inteligence Cloud AWS 244

TechCrunch

APRIL 27, 2022

A similar theme has also been playing out in the enterprise world, where organizations have also grown their security and data protection profiles to help defend themselves against malicious activity.

Tools 196

Tools Machine Learning Artificial Inteligence Analytics 196

O'Reilly Media - Data

JULY 23, 2018

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Managing data science in the enterprise.

Machine Learning 123

Machine Learning Artificial Inteligence How To Case Study 123

CIO

DECEMBER 1, 2022

The $247 billion conglomerate, one of the largest food and beverage companies in the world, is developing a modernized data and cloud infrastructure replete with automated processes and workflows. One HR employee took some courses in data analytics and found a new job within the company helping to advance digital transformation.

Analytics 362

Analytics KPI IoT Azure 362

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

CIO

FEBRUARY 16, 2024

For payroll services company ADP, it has paved the way to becoming a SaaS provider capable of taking on big names in enterprise software. 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

DataRobot

MARCH 8, 2023

Today, SAP and DataRobot announced a joint partnership to enable customers connect core SAP software, containing mission-critical business data, with the advanced Machine Learning capabilities of DataRobot to make more intelligent business predictions with advanced analytics.

Enterprise 105

Enterprise Machine Learning Artificial Inteligence Analytics 105

Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. In other words, they dedicate a quarter of their efforts to infrastructure — instead of doing what they can do best. I/CD ) practices for deploying and updating machine learning pipelines. Better user experience.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

CIO

FEBRUARY 13, 2023

Upgrading cloud infrastructure is critical for deploying broad AI initiatives more quickly, so that’s a key area where investments are being made this year. Fifty-two percent of organizations plan to increase or maintain their IT spending this year, according to Enterprise Strategy Group.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

Cloudera

OCTOBER 30, 2023

The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications.

Analytics 79

Analytics Cloud Technical Review Resources 79

CIO

MAY 10, 2023

focuses on driving mobility and tapping on the then-nascent Internet of Things, the subsequent phase prominently features technology such as artificial intelligence and machine learning and ways to extend their use across every aspect of the business. Whereas digital transformation in its earliest iteration—digital transformation 1.0—focuses

Enterprise 130

Enterprise Artificial Inteligence Healthcare Pharmaceuticals 130

Cloudera

SEPTEMBER 22, 2022

In this post, I’ll explore opportunities to enhance risk assessment and underwriting, especially in personal lines and small and medium-sized enterprises. To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. Step two: expand machine learning and AI.

Analytics 102

Analytics Data Insurance eBook 102

Altexsoft

JUNE 29, 2021

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The role of a machine learning engineer in the data science team.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

TechCrunch

MARCH 31, 2022

In the pandemic era, when digital storefronts have become a matter of course for retailers, data analytics is proving its worth. Those advantages — as well as their ability to forecast inventory and measure the effectiveness of marketing campaigns — have driven predictive analytics software revenues to record heights.

Artificial Inteligence 232

Artificial Inteligence Retail Machine Learning Analytics 232

TechCrunch

APRIL 12, 2022

While companies find AI’s predictive power alluring, particularly on the data analytics side of the organization, achieving meaningful results with AI often proves to be a challenge. That’s where Flyte comes in — a platform for programming and processing concurrent AI and data analytics workflows.

Artificial Inteligence 202

Artificial Inteligence Machine Learning Open Source Biotech 202

CIO

OCTOBER 13, 2023

The data architect is responsible for visualizing and designing an organization’s enterprise data management framework. They often report to data infrastructure and data science leads. Data architects and data engineers work together to visualize and build the enterprise data management framework.

Data 331

Data Database Administration Data Engineering Artificial Inteligence 331

TechCrunch

SEPTEMBER 27, 2021

As more enterprises migrate to cloud-based architectures, they are also taking on more applications (because they can) and, as a result of that, more complex workloads and storage needs. Machine learning and other artificial intelligence applications add even more complexity.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

TechCrunch

JUNE 8, 2021

The company uses analytics and machine learning to figure out if there are threats and where they are coming from, regardless of how customers are deploying infrastructure. Rothstein said he envisions a world where environments have become more distributed with less defined perimeters and more porous networks.

Network 222

Network Machine Learning Artificial Inteligence Analytics 222

CIO

SEPTEMBER 19, 2023

Nearly all of Oracle’s Fusion Cloud suites — including Cloud Customer Experience (CX), Human Capital Management (HCM), Enterprise Resource Planning (ERP) and Supply Chain Management (SCM) — are being updated with the company’s Oracle Cloud Infrastructure (OCI)generative AI service.

Generative AI 362

Generative AI Cloud Artificial Inteligence Advertising 362

CIO

FEBRUARY 14, 2023

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. AI continues to transform customer engagements and interactions with chatbots that use predictive analytics for real-time conversations.

Artificial Inteligence 290

Artificial Inteligence Strategy Data Machine Learning 290

Infinidat

JUNE 6, 2024

The Proverbial “Water Cooler” Discussions 2024: Key Topics that Drive Enterprise Storage Conversations (Part One) Adriana Andronescu Thu, 06/06/2024 - 09:19 Talk about storage – this is your opportunity to react to what is being discussed around the proverbial “water cooler” in enterprise storage industry circles, online, in-person, and otherwise.

Storage 59

Storage Enterprise Malware Systems Review 59

TechCrunch

JANUARY 22, 2022

Reliance on cloud infrastructure will only continue to grow as organizations adjust to the hybrid work model. As their businesses grow and digitize, entrepreneurs across industries are embracing the cloud and adopting technologies like machine learning and data analytics to optimize business performance, save time and cut expenses.

Trends 260

Trends Cloud Google Cloud Artificial Inteligence 260

CIO

FEBRUARY 6, 2023

Tara Long, MassMutual’s newly appointed CIO, points to the company’s patented enterprise data application platform and enhanced cybersecurity as integrated digital services that add significant value to its digital customers. We’re doing a lot on AI and machine learning and robotics. Digital Transformation, Insurance Industry

Insurance 331

Insurance Artificial Inteligence Machine Learning Virtualization 331

Cloudera

JULY 18, 2018

Despite advances made in EHRs of late, they, unfortunately, do not provide advanced analytics or intelligent search for that matter. It is fair to say that healthcare faces many challenges, including developing, deploying, and integrating machine learning and artificial intelligence (AI) into clinical workflow and care delivery.

Artificial Inteligence 51

Artificial Inteligence Machine Learning Analytics Healthcare 51