CIO

DECEMBER 10, 2024

Notably, hyperscale companies are making substantial investments in AI and predictive analytics. However, each cloud provider offers distinct advantages for AI workloads, making a multi-cloud strategy vital. NetApps first-party, cloud-native storage solutions enable our customers to quickly benefit from these AI investments.

Strategy 158

Strategy Cloud Artificial Inteligence Azure 158

Datavail

SEPTEMBER 2, 2021

Moving data analytics to the cloud would be much simpler if it were a “lift and shift” process. A lift and shift to the cloud involves moving applications and associated data to the cloud without redesigning the applications. But, there are many players in the data analytics market. Technology Infrastructure.

Analytics 89

Analytics Cloud Data Artificial Inteligence 89

CIO

NOVEMBER 4, 2022

To achieve what the company would need going forward, McCowan knew Regeneron would have to undergo a major transformation and build a more enhanced data pipeline that could inject data from up to 1,000 data sources in “analytical ready formats” for both the business and the scientists to consume, the CIO says.

Pharmaceuticals 187

Pharmaceuticals Technical Review AWS Artificial Inteligence 187

CIO

SEPTEMBER 7, 2023

Production lines, networks, call centers: every aspect of your organization is being revolutionized in different ways by technology such as AI, automation, edge computing and the many flavors of cloud. Increasingly, organizations are turning to secure access service edge (SASE) as their armor of choice against cyberattacks. The solution?

Artificial Inteligence 167

Artificial Inteligence WAN Artificial Intelligence Network 167

Datavail

NOVEMBER 17, 2021

This is especially important for companies that rely on analytics to drive business insights and executive decisions. Most likely, your company has shifted their approach to data and analytics. They decided it was time to build a modern analytics environment that could support their needs now and into the future. Learn More.

Case Study 97

Case Study Analytics Study Architecture 97

CTOvision

NOVEMBER 16, 2015

AI and Machine Learning and Cognitive Computing are being coupled with incredibly low cost cloud computing. Can behavioral analytics enhance security? For more on all these trends see our white paper titled: CAMBRIC: The Seven Megatrends Creating The Future Of Information Technology. Will companies use AI for good?

Artificial Inteligence 131

Artificial Inteligence Artificial Intelligence Technology Trends 131

Tenable

DECEMBER 5, 2024

As a leader in cybersecurity, Tenable was able to harness its expertise to best use security analytics, building out a program that had orchestration and enforcement capabilities through scanning and assessment, endpoint monitoring, traffic inspection and network discovery.

Architecture 66

Architecture Off-The-Shelf Network IoT 66

Datavail

APRIL 6, 2021

Cloud computing has gone from being a cutting-edge technology to a well-established best practice for businesses of all sizes and industries. According to Flexera’s 2020 State of the Cloud Report , 98 percent of organizations are now using at least one public or private cloud. Oracle ERP—Financials Cloud.

Cloud 97

Cloud Disaster Recovery Off-The-Shelf Artificial Intelligence 97

CTOvision

OCTOBER 7, 2014

CTOlabs.com , the research arm of CTOvision.com , has just released a White Paper for the federal technology community titled: Enhancing Functionality and Security of Enterprise Data Holdings: Examining new, mission-enabling design patterns made possible by the Cloudera-Intel partnership.

Data Center 110

Data Center Technical Review Big Data Open Source 110

Datavail

MARCH 18, 2021

The client decided to migrate to Oracle EPM Cloud instead of remaining on-premises. To help with this issue, Datavail leveraged the Oracle Smart View feature, which is only available in the Oracle cloud, to build hierarchies more rapidly. In this white paper, we’ll discuss how you can take action to protect your business.

Cloud 98

Cloud Retail Case Study Report 98

CIO

OCTOBER 30, 2023

That’s because data is often siloed across on-premises, multiple clouds, and at the edge. This eliminates the hassles of data silos and makes data accessible for model training, analytics, and real-time inferencing. However, organizations are more prepared than they might think, thanks to data they already have.

Infrastructure 214

Infrastructure Data Artificial Intelligence Artificial Inteligence 214

CIO

JANUARY 22, 2024

According to a recent analysis by EXL, a leading data analytics and digital solutions company, healthcare organizations that embrace generative AI will dramatically lower administration costs, significantly reduce provider abrasion, and improve member satisfaction. The timing could not be better. Here’s an example.

Generative AI 158

Generative AI Healthcare Artificial Inteligence Artificial Intelligence 158

TechCrunch

APRIL 28, 2022

Synthesis’ cloud-based platform allows companies to generate synthetic image data with labels using a combination of AI, procedural generation, and VFX rendering technologies. Robin Röhm, the cofounder of data analytics platform Apheris, argues that quality checks should be developed for every new synthetic dataset to prevent misuse.

Data 242

Data Weak Development Team Technical Cofounder Training 242

CTOvision

JANUARY 27, 2017

Whether servers are used to implement a private cloud infrastructure or deliver bespoke mission capabilities, maximizing performance and scalability while minimizing latency is key. Download “Solarflare White Paper” WP_Solarflare_intro_final-1.pdf pdf – Downloaded 3 times – 224 KB.

Network 61

Network Analytics Cloud Advertising 61

Cloud That

NOVEMBER 16, 2022

These Internet of Things devices generate a large amount of data, which is subsequently transported to the cloud to be analyzed. . Because IoT data is generally unorganized and difficult to evaluate, experts must first format it before beginning the analytics process. Creation of Data Store. Finally review and click Create Data Store.

IoT 70

IoT AWS Analytics Data 70

Datavail

JULY 8, 2021

In fact, in early 2020, CNBC reported that Microsoft continued to lead the pack as one of the most popular suppliers of public cloud services, especially with larger companies. As a customizable and flexible cloud service, it also requires expertise and commitment to develop, configure and maintain one’s Azure cloud.

Azure 102

Azure Cloud Case Study Strategic Planning 102

DataRobot

JULY 5, 2022

At the confluence of cloud computing, geospatial data analytics, and machine learning we are able to unlock new patterns and meaning within geospatial data structures that help improve business decision-making, performance, and operational efficiency. White Paper. Leveraging Geospatial Data and Analysis with AI.

Analysis 103

Analysis Real Estate Artificial Inteligence Machine Learning 103

Datavail

JUNE 30, 2022

As part of an overarching digital transformation strategy, more and more companies are moving their on-premises data analytics into the cloud. But what are the factors that motivate businesses to invest in a cloud analytics migration? Scalability and flexibility. Cost-effectiveness. percent uptime).

Analytics 52

Analytics Cloud Business Intelligence Scalability 52

CIO

SEPTEMBER 1, 2023

It was “clear that we needed to move to an infrastructure that better supported automation, offered more flexible and dynamic security capabilities, and could reduce the overall impact when planned or unplanned changes occur,” Intel wrote in a white paper about its switch to SDN.

WAN 195

WAN Data Center IoT Network 195

Datavail

AUGUST 6, 2020

Analytics is the process of turning raw data into valuable business insights through quantitative and statistical methods. There are three ways of classifying business analytics methods according to their use case: Descriptive methods examine historical data to identify meaningful trends and patterns. So what’s all the fuss about?

Analytics 52

Analytics Cloud Disaster Recovery Business Analytics 52

Datavail

JANUARY 17, 2023

Our data management, application development, database and analytics services are popular because of our company’s extensive experience, expertise and stellar reputation for exceptional support in these offerings. Highlights of Datavail’s Cloud Analytics Maturity Survey.

Survey 52

Survey Analytics Cloud Compliance 52

Datavail

MARCH 26, 2019

Moving CRM to the cloud is the best way to support all the features a CRM can offer. What is a Cloud CRM? A Cloud CRM can be defined as CRM software, tools and data that are hosted in the cloud. If there are individual desktops that run a CRM, that information is synchronized with the cloud data. Sales Analytics.

Cloud 75

Cloud Survey Backup Vendor Management 75

Datavail

JULY 28, 2022

You’ve already made the choice to move from on-premises data analytics to the cloud—which puts you in very good company. Unfortunately, far too many businesses stall out or face unexpected roadblocks on their journey to cloud analytics. At this stage, however, the process has scarcely begun. Get your ducks in a row.

Analytics 52

Analytics Cloud Minimum Viable Product Compliance 52

Datavail

JULY 7, 2022

The trends are clear: more and more companies are adopting cloud analytics to satisfy their increasing need for cutting-edge business insights. For example, the global cloud analytics market size was $19.04 There are many explanations for why businesses of all sizes and industries are shifting to cloud analytics.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

CTOvision

AUGUST 16, 2014

These reports provide actionable information and context on topics like Analytical Tools , Big Data , Cloud Computing, Comms , GreenIT , Infrastructure , Mobile , Security , Visualization , As a technology creator, we would also like to ensure we are tracking what you are doing so we can report relevant info for our readership.

CTO 104

CTO Technical Review Big Data Research 104

Datavail

AUGUST 2, 2022

Considering a move to cloud analytics? Lowering costs is one of the reasons that companies most often cite as motivation for moving to the cloud. Before you dive in headfirst, however, it’s important to understand what a cloud analytics migration will mean for your IT expenses. Analytics compute.

Analytics 52

Analytics Cloud Artificial Inteligence How To 52

Tenable

JULY 1, 2022

4 -- Study: Manual cloud asset management impacts visibility, ups risk. Cloud adoption keeps accelerating, but have organizations automated their inventorying of public cloud assets? Only 21% of respondents use native or automated cloud data classification tools. Interested in cloud security?

Azure 98

Azure Budget Delivery Management Study 98

CTOvision

DECEMBER 30, 2014

You can accelerate your market research into available technologies by reviewing our actionable information and context in these categories: Analytical Tools. Cloud Computing. Cloud computing. We also provide a library of white papers and studies curated for the enterprise technology consumer. Cloud Computing.

Technical Review 106

Technical Review Software Review Systems Review Big Data 106

Datavail

AUGUST 3, 2021

As the war for cloud customers continues between ‘as a service’ vendors both large and small, Microsoft Azure continues to maintain its stronghold. From Oracle EBS to JD Edwards to PeopleSoft, Azure can support the critical applications that drive your business in a hybrid or fully cloud hosted environment. 5) Analytics & Insights.

Azure 98

Azure Disaster Recovery Applications Artificial Inteligence 98

Datavail

MAY 11, 2021

Visual analytics tools are how businesses turn cold, hard data into clear, beautiful visualizations. The right choice of visual analytics tool will dramatically simplify your data visualization workflows, offering pre-built templates to convert datasets into visual representations (e.g. 5 Visual Analytics Tools for Data Visualization.

Analytics 52

Analytics Artificial Inteligence Scalability Artificial Intelligence 52

Datavail

MAY 5, 2021

Data analytics has become so valuable, and so in vogue, that more and more enterprise applications have been adding their own analytics features and capabilities. Below, we’ll discuss different ways that organizations have benefited from augmenting their traditional enterprise IT with powerful, forward-looking data analytics.

Analytics 52

Analytics Applications .Net Metrics 52

Cloudera

AUGUST 12, 2021

Streamlining operations with advanced analytics to preempt issues. As organizations are met with expanding data volumes and workloads in today’s landscape, an enterprise data cloud will help customers manage the information in a secure environment while extracting the true value of their data throughout its life cycle.

Data 111

Data Insurance Agile Exercises 111

Datavail

JULY 15, 2021

Are you working with a lot of analytical workloads or other use cases that demand significant memory? Get started on your cloud journey today by downloading our white paper, “ Getting Your Organization Ready for Your Oracle Database to Microsoft Azure Migration.”. Memory-Optimized E.

Azure 98

Azure Storage Resources Testing 98

Datavail

JANUARY 12, 2023

In an ‘analytically mature’ enterprise, the insights of its C-Suite places a high value on the analytics investment, which led to the intentional pursuit of that elevated status. Defining the ‘Analytically Mature’ Enterprise. Foundations. Do you know who can access them and why they have that authority?

Analytics 52

Analytics Culture Programming Enterprise 52

Cloudera

AUGUST 21, 2021

Working towards delivering a strong customer experience and shortening time to market, the organization sought to create a centralized repository of high-quality data which could also allow them to stream and conduct real-time data analytics to rapidly derive actionable insights. .

Industry 103

Industry Data Banking Analytics 103

Cherry Work

APRIL 7, 2025

Going a step forward, it leverages IoT sensors, AI analytics, and cloud computing to anticipate machine breakdowns before they happen, optimizing finances and operations simultaneously. It led to over-maintenance. The advent of Industry 4.0 introduced a paradigm shift towards predictive maintenance. Cherrywork Industry 4.0

IoT 100

IoT Compliance Pharmaceuticals Industry 100

Datavail

MARCH 3, 2022

Today’s advanced technologies provide data analytics programming to understand, learn from, and harness the values hidden deep in those data center depths. The proliferation of data analytics programming is advancing industries and economies, driven by cloud computing and the ever-widening expansion of digital connectedness.

Business Analytics 52

Business Analytics Analytics Artificial Inteligence Machine Learning 52