CIO

NOVEMBER 14, 2022

Bayer Crop Science has applied analytics and decision-support to every element of its business, including the creation of “virtual factories” to perform “what-if” analyses at its corn manufacturing sites. These systems integrate storage and processing technologies for document retrieval and analysis. Sensitivity analysis models.

System 338

System Artificial Inteligence Data Analysis 338

CIO

JANUARY 17, 2024

Following this, in 2002, it began delivering its knowledge to customers in online format, using dashboards and interactive reports that provided easier and faster access to data and analysis. In some cases, it also works with select integrators such as Accenture and ThoughtWorks to help implement and integrate solutions. js and React.js.

Artificial Inteligence 293

Artificial Inteligence Artificial Intelligence Analysis Azure 293

CIO

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Check out our list of top big data and data analytics certifications.)

Artificial Inteligence 317

Artificial Inteligence Data Machine Learning Azure 317

Dzone - DevOps

NOVEMBER 21, 2023

In the midst of our ever-expanding digital landscape, data management undergoes a metamorphic role as the custodian of the digital realm, responsible for the ingestion, storage, and comprehension of the immense volumes of information generated daily. Data ingestion: Ingest the data elements into a temporary or permanent storage for analysis.

Analytics 59

Analytics Data Storage Business Intelligence 59

CIO

JANUARY 24, 2024

Building a successful data strategy at scale goes beyond collecting and analyzing data,” says Ryan Swann, chief data analytics officer at financial services firm Vanguard. RaceTrac is leveraging Alation’s Data Intelligence Platform to centralize data as well as provide self-service analytics for users as needed.

Strategy 339

Strategy Weak Development Team Data CTO Coach 339

CIO

OCTOBER 30, 2023

Traditionally, data management and the core underlying infrastructure, including storage and compute, have been viewed as separate IT initiatives. Beyond the traditional considerations of speeds and feeds, forward-thinking CIOs must ensure their compute and storage are adaptable.

Infrastructure 354

Infrastructure Artificial Intelligence Artificial Inteligence Data 354

CIO

NOVEMBER 20, 2023

How generative AI and AI can help Improving patient treatments: As a leader in precision medicine, the Translation Genomics Research Institute, or TGen, has seen the power of high-performance computing, fast processing, analytics, and AI bring next-level speed and capabilities in fighting disease. View the TGen customer case study.

Artificial Inteligence 295

Artificial Inteligence Generative AI Artificial Intelligence Storage 295

CIO

OCTOBER 13, 2023

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.

Data 327

Data Database Administration Data Engineering Artificial Inteligence 327

Infinidat

MARCH 10, 2021

Re-Thinking the Storage Infrastructure for Business Intelligence. With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Adriana Andronescu. Wed, 03/10/2021 - 12:42.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

Altexsoft

APRIL 16, 2021

used for analytical purposes to understand how our business is running. In this article, we’ll talk about such a solution —- Online Analytical Processing , or OLAP technology. Namely, we’ll explain what functions it can perform, and how to use it for data analysis. What is OLAP: Online Analytical Processing.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

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

CIO

OCTOBER 19, 2023

The growing volume of data is a concern, as 20% of enterprises surveyed by IDG are drawing from 1000 or more sources to feed their analytics systems. To tackle this, enterprises need systems that enable real-time analysis, aggregation, and transformation of incoming data streams. The complexity doesn’t end here.

Data 314

Data Scalability Serverless Enterprise 314

Sunflower Lab

OCTOBER 2, 2023

Choosing the Ultimate Data Analytics Tool As a digital service providing enterprise, we constantly find ways to help a business through technology, and with this due process we find new innovative ideas and tools which are yet to be implemented by many of the enterprises in their system.

Azure 40

Azure Analytics UI/UX Software Review 40

CTOvision

DECEMBER 16, 2014

It is no secret that today’s data intensive analytics are stressing traditional storage systems. SSD) to bolster the performance of traditional storage platforms and support the ever-increasing IOPS and bandwidth requirements of their applications.

Storage 104

Storage Analytics System Data 104

Cloudera

AUGUST 31, 2020

From leading banks, and insurance organizations to some of the largest telcos, manufacturers, retailers, healthcare and pharma, organizations across diverse verticals lead the way with real-time data and streaming analytics. The stories of organizations that have adopted streaming analytics speak for themselves.

Analytics 94

Analytics Airlines Off-The-Shelf Insurance 94

Cloudera

DECEMBER 20, 2022

In this respect, several studies project that a proper use of advanced analytics implies savings of between 5% and 7.5%. For this reason, the need to have a data platform that allows for a fine-tuned analysis and prediction of supply and demand becomes a necessary tool to operate the business in a more efficient and profitable way.

Energy 79

Energy Analytics Data Machine Learning 79

RapidValue

JUNE 26, 2020

Analytics is all about meaningful information at your fingertips. Reporting solutions in Oracle has gradually evolved from BI Publisher to OBIEE (Oracle Business Intelligence Enterprise Edition) both on premise and cloud visualization and now Oracle Analytics PaaS solution. Leveraging OAC & OADW for Agile Analytics.

Analytics 72

Analytics Cloud Technical Review Data 72

Openxcell

JUNE 9, 2023

Big Data analytics,on the other hand, refers to using this huge amount of data to make informed business decisions. Let us have a look at Big Data Analytics more in detail. What is Big Data Analytics? These processes employ well known analysis techniques — including clustering regression, and apply them to big copious data sets.

Big Data 52

Big Data Analytics Tools Data 52

CTOvision

DECEMBER 1, 2014

16-21 Nov 2014 the International Conference for High Performance Computing, Networking, Storage and Analysis (SC14) was hosted in New Orleans and once again it did not disappoint! With that in mind I thought I would tak.

Conference 105

Conference Storage Analysis Performance 105

TechCrunch

JANUARY 24, 2023

The same survey found the average number of data sources per organization is now 400 sources, and that more than 20% of companies surveyed were drawing from 1,000 or more data sources to feed their business intelligence and analytics systems. ” So what else can enterprises do with Komprise? .

Company 203

Company Data Storage Backup 203

Infinidat

AUGUST 24, 2023

The Security of Enterprise Storage – A Call to Action for CISOs Adriana Andronescu Thu, 08/24/2023 - 04:51 Cyber criminals can infiltrate an enterprise infrastructure and stay there, undetected, for months at a time. They aren’t only attacking primary storage; they also attack secondary storage. But are they actually doing it?

Security 52

Security Storage Enterprise Malware 52

CIO

SEPTEMBER 19, 2023

Following is our analysis of the 12 most popular ways AI is being used across all industries in the enterprise today, as companies seek to capitalize on artificial intelligence’s promise to improve customer service, cut business costs, and supercharge business processes.

Artificial Inteligence 354

Artificial Inteligence Enterprise Artificial Intelligence Generative AI 354

Apps Associates

AUGUST 2, 2023

To accomplish this, the adoption of cloud-based data and analytics solutions becomes paramount in order to acquire, clean, store, catalog, and analyze these large datasets. Comprehensive analysis of biomarkers, imaging, and other clinical data is now possible in very short time frames.

Analytics 52

Analytics Data Scalability Storage 52

Kentik

MAY 10, 2023

A unified data repository (UDR) is a centralized storage system that consolidates, organizes, and manages data from different sources. The primary purpose of a UDR is to help solve this problem and enable more comprehensive data analysis across data types, formats, and from different sources. Why do we need a UDR?

Analytics 59

Analytics Network Data Machine Learning 59

Altexsoft

DECEMBER 9, 2020

In the era of global digital transformation , the role of data analysis in decision-making increases greatly. Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102

Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111

Data Google Cloud Analytics Serverless 111

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect.

Analytics 90

Analytics Network Innovation IoT 90

Xebia

MARCH 28, 2024

However, in Xebia Data’s Analytics Engineering team’s day-to-day work for clients, we still see small and large companies struggling to address most of the core concepts. Most courses and education are focused on the sexy and shiny things of analytics engineering, like learning SQL, Python, and even learning specific tools.

Data 130

Data Technical Review Analytics Systems Review 130

TechCrunch

MAY 24, 2022

The company initially focused on helping utility customers reduce their electricity costs by shaving demand or turning to battery storage. So that we spend a lot of time modeling and coming up with new optimization algorithms to really help the customer make the economics work for battery storage.” . founder and CEO Wenbo Shi said. “So

Energy 209

Energy Artificial Inteligence Machine Learning Storage 209

Sunflower Lab

OCTOBER 9, 2023

Diving into World of Business Analytics Data analytics is not an old concept, it is an essential practice which has driven business success in the past and the present, it will confidently drive the success in the future too. “ Data Explosion ” refers to a trend of exponentially multiplying data that is stored.

Business Analytics 40

Business Analytics Analytics UI/UX Development Team Review 40

Data Virtualization

JANUARY 19, 2023

Reading Time: 2 minutes Today, many businesses are modernizing their on-premises data warehouses or cloud-based data lakes using Microsoft Azure Synapse Analytics. Whether or not they begin with on-premises systems, such modernization efforts often involve the implementation of hybrid configurations. Unfortunately, with data spread.

Azure 52

Azure Architecture Analytics Data 52

Apiumhub

JULY 8, 2021

In its application across business problems, machine learning can be also referred to as predictive analytics. Data Analysis Methods. Data analysis cover a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.

Machine Learning 52

Machine Learning Artificial Inteligence Analysis Innovation 52

Altexsoft

SEPTEMBER 21, 2023

What if we told you that one of the world’s most powerful search and analytics engines started with the humble goal of organizing a culinary enthusiast’s growing list of recipes? First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Cloudera

JULY 24, 2023

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

Open Source 65

Open Source Analytics Software Review Metrics 65

CIO

MAY 24, 2023

Yet, as organizations transform, CIOs and their teams are being asked to manage the optimal mix of infrastructure, platform, software, database, storage, and more to meet these new strategic objectives—while also creating sustained value and positioning the organization for the future. The challenge?

Business Transformation 253

Business Transformation Strategy Infrastructure Software Review 253

CIO

MARCH 24, 2023

Meant specifically to support self-service analytics, TrustCheck attaches guidelines and rules to data assets. To counter that, BARC recommends starting with a manageable or application-specific prototype project and then expanding across the company based on lessons learned.

Government 357

Government Data Technical Review Policies 357

CIO

JUNE 23, 2023

Other focus areas include data and content management (60%), DevOps (58%), infrastructure and application modernization (58%), automation (57%), and enterprise storage (35%). It allows organizations to reap the benefits of the highly secure mainframe and the analytics and artificial intelligence capabilities that the cloud offers.

Technical Review 243

Technical Review Artificial Intelligence Artificial Inteligence Software Review 243