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. Smart manufacturing at scale. The power of people.

Artificial Inteligence 357

Artificial Inteligence Azure IoT Analytics 357

CIO

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company. But there is more room to go.

Analytics 302

Analytics KPI IoT Azure 302

CIO

OCTOBER 18, 2023

German healthcare company Fresenius Medical Care, which specializes in providing kidney dialysis services, is using a combination of near real-time IoT data and clinical data to predict one of the most common complications of the procedure.

Artificial Inteligence 327

Artificial Inteligence Analytics Artificial Intelligence Machine Learning 327

CIO

JULY 5, 2023

Around the same time of the release, Repsol appointed Juan José Casado Quintero as its new chief digital officer (CDO), another strategic move to digitally transform and accelerate the company’s strategy to become a data-driven company.

Artificial Inteligence 223

Artificial Inteligence Generative AI Energy Strategic Planning 223

CIO

JUNE 22, 2023

Even internally, finance companies such as Discover , have focused on building IT and tech training platforms to upskill workers to help meet the rapidly growing need for talent. And as more insurance companies develop client-facing apps and services, there’s a need for UX/UI designers, developers, and engineers.

Industry 278

Industry UI/UX Telecommunications Quality Assurance 278

TechCrunch

OCTOBER 7, 2021

Gretel AI , which lets engineers create anonymized, synthetic data sets based on their actual data sets to use in their analytics and to train machine learning models has closed $50 million in funding, a Series B that it will be using to get the company to the next stage of development. million to date.

Artificial Inteligence 246

Artificial Inteligence Technical Review Engineering Data 246

CIO

NOVEMBER 29, 2022

For data warehouses, it can be a wide column analytical table. Many companies reach a point where the rate of complexity exceeds the ability of data engineers and architects to support the data change management speed required for the business.

Organization 232

Organization Technical Review Data Artificial Inteligence 232

CIO

JULY 18, 2023

The CIO’s biggest hiring challenge is clear: “There is simply not enough talent to go around,” says Scott duFour, global CIO of business payments company Fleetcor, for whom positions in areas such as AI, cloud architecture, and data science remain the toughest to fill.

Technical Advisors 211

Technical Advisors Artificial Inteligence Generative AI How To 211

CIO

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. report they have established a data culture 26.5% report they have a data-driven organization 39.7% report they are managing data as a business asset 47.4%

Artificial Inteligence 259

Artificial Inteligence Strategy Data Machine Learning 259

Agile Engine

DECEMBER 27, 2023

Case study: leveraging AgileEngine as a data solutions vendor 11. Key takeaways Any organization that operates online and collects data can benefit from a data analytics consultancy, from blockchain and IoT, to healthcare and financial services The market for data analytics globally was valued at $112.8

Big Data 52

Big Data Analytics Data Analysis 52

O'Reilly Media - Ideas

JANUARY 8, 2019

The demand for data skills (“the sexiest job of the 21st century”) hasn’t dissipated. LinkedIn recently found that demand for data scientists in the US is “off the charts,” and our survey indicated that the demand for data scientists and data engineers is strong not just in the US but globally.

Trends 89

Trends Data Machine Learning Artificial Inteligence 89

Trigent

AUGUST 26, 2022

Working with a custom software development company is imperative when you plan to create an extraordinary digital project. Trigent Software , Inc, founded in 1995, is an early pioneer in IT services and a leading software services providing company based in Massachusetts. Transform your business with Trigent Software.

Software Review 52

Software Review Software Technical Review Artificial Intelligence 52

Apiumhub

FEBRUARY 6, 2023

In this event, hundreds of innovative minds, enterprise practitioners, technology providers, startup founders, and innovators come together to discuss ideas on data science, big data, ML, AI, data management, data engineering, IoT, and analytics.

Innovation 82

Innovation Data Machine Learning Artificial Inteligence 82

Hu's Place - HitachiVantara

APRIL 11, 2019

More than 70% of employees have access to data they should not, and 80% of analysts’ time is spent simply discovering and preparing data. Data breaches are common, rogue data sets propagate in silos, and companies’ data technology often isn’t up to the demands put on it."

Data Engineering 81

Data Engineering Machine Learning Artificial Inteligence Technical Review 81

ParkMyCloud

MAY 29, 2019

Cloud Architects are experts responsible for the supervision of a company’s cloud computing system, overseeing the organization’s cloud computing strategy through deployment, management, and support of cloud applications. BI Analyst can also be described as BI Developers, BI Managers, and Big Data Engineer or Data Scientist.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Capgemini

MAY 28, 2020

Companies know they need to integrate artificial intelligence into the manufacturing process, but the real challenge continues to be achieving it at scale. The use of IoT sensors means manufacturers can access real-time data now. We worked with one automotive company on predictive models to identify robot failures.

Artificial Intelligence 52

Artificial Intelligence Artificial Inteligence Automotive Data Engineering 52

Mobilunity

MAY 8, 2023

Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Ingestion zone is where data is collected from various sources and ingested into the data lake. Storage zone is where the raw data is stored in its original format.

Engineering 52

Engineering Data Storage AWS 52

Hu's Place - HitachiVantara

JANUARY 15, 2019

This new company will unify the operations of these three companies into a single integrated business as Hitachi Vantara to capitalize on Hitachi’s social innovation capability in both operational technologies (OT) and information technologies (IT).

Systems Review 72

Systems Review Storage System Software Review 72

TIBCO - Connected Intelligence

DECEMBER 16, 2020

Imagine you’re a data engineer at a Fortune 1000 company. Your company has thousands of databases and 14,000 business intelligence users. You use data virtualization to create data views, configure security, and share data. One: Streaming Data Virtualization. All this data is in motion.

Virtualization 64

Virtualization Data Data Engineering Quality Assurance 64

Altexsoft

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Supply chain management process. Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Apiumhub

JUNE 22, 2021

In this event you will gain insight into radical ideas that are already proven to provide ROI in some of the most data-driven and innovative companies in the world as well as learn how to accelerate AI-driven transformation. Data Innovation Summit topics. Presentations by some of the most innovative companies in the world.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

Altexsoft

JUNE 14, 2021

This article will explore the topic and its importance, how some insurers are already implementing it as their business model, how to approach personalization, and the challenges companies may encounter trying to implement it. For example, these companies use customer data from wearable and smart devices to monitor the user’s lifestyle.

Insurance 88

Insurance Machine Learning Artificial Inteligence Policies 88

Apiumhub

APRIL 5, 2022

With over 1000 practical case studies presented on the past 6 editions and with new geo events in the MEA and the APAC region, the event is a worldwide movement, ushering the community of data, analytics and AI practitioners across functions, companies, industries, sectors, countries and regions to collaborate, benchmark, share and innovate.

Innovation 52

Innovation Data Artificial Inteligence Case Study 52

TIBCO - Connected Intelligence

AUGUST 10, 2020

Taking action to leverage your data is a multi-step journey, outlined below: First, you have to recognize that sticking to the status quo is not an option. Your data demands, like your data itself, are outpacing your data engineering methods and teams. Data virtualization presents a compelling financial case.

Virtualization 69

Virtualization Data How To Data Engineering 69

Cloudera

DECEMBER 20, 2022

Across the energy supply chain from generation to consumer, we can see that the trend toward investing in renewable energy has picked up pace as demand has grown for energy companies to actively pursue investments in energies with little or no environmental impact in the quest for decarbonisation. Data efficiency in renewables.

Energy 81

Energy Analytics Data Machine Learning 81

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Forbes notes that a full transition to the cloud has proved more challenging than anticipated and many companies will use hybrid cloud solutions to transition to the cloud at their own pace and at a lower risk and cost. This April, 47Lining, announced its Amazon Web Services (AWS) Industrial Time Series Data Connector Quick Start.

Cloud 78

Cloud Google Cloud Azure AWS 78

Agile Engine

DECEMBER 2, 2019

The US has more than 525,000 software services companies , which is why it means a lot when someone names you among the top 50. Our company earned the 31st spot in TechReviewer’s list. The 2019 list features 10% of the 500 companies researched and ranked by TechReviewer. About AgileEngine. Email Drop us a line:) Thank you!

Software 19

Software Company Blockchain Software Development 19

Confluent

FEBRUARY 6, 2019

So why did Uber (and many other tech companies) build its own platform and framework-independent machine learning infrastructure? This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. For now, we’ll focus on Kafka.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

Datavail

SEPTEMBER 8, 2022

As organizations accumulate more and more data, the software and services they use to manage this data are also expanding. According to Statista , in 2021 companies used an average of 110 software as a service (SaaS) applications in their IT environment, which is a sevenfold increase from just 16 applications in 2017.

Data 40

Data Nonprofit Quality Assurance Education 40

Trigent

NOVEMBER 3, 2022

Thankfully, it’s now a game for new technologies and leveraging structured and unstructured data like no other. The future of the global supply chain market lies in IoT, integrated solutions, data, and mobility. Connected logistics devices generate a massive amount of data. Optimized for more.

Analytics 52

Analytics Data IoT Trends 52

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

Confluent

JUNE 7, 2019

We offer both historical and low-latency data streams of on-chain data across multiple blockchains. Apache Kafka ® is the central data hub of our company. The Confluent Platform is an amazing toolbox, which every architect and data engineer should know of and utilize. Why does on-chain data matter?

Blockchain 90

Blockchain Data Technical Review Software Review 90

Hu's Place - HitachiVantara

MARCH 18, 2019

Hitachi will collaborate with companies in Turkey to deliver state of the art health care solutions that will contribute to the development of healthcare and improve the quality of life in the region. They have a unified data architecture with one set of tools to unlock relevant sources of data.

Healthcare 61

Healthcare Tourism Systems Review Energy 61

Altexsoft

MARCH 31, 2020

These can be data science teams , data analysts, BI engineers, chief product officers , marketers, or any other specialists that rely on data in their work. The simplest illustration for a data pipeline. Data pipeline components. Data pipeline components. When do you need a data pipeline?

Data 76

Data Storage Analytics Data Center 76

Apiumhub

APRIL 8, 2021

Ronald van Loon has been recognized among the top 10 global influencers in Big Data, analytics, IoT, BI, and data science. As the director of Advertisement, he works to help data-driven businesses be more successful. Schloss’s areas of expertise include Big Data, analytics, BI, IoT, and data warehousing.

Artificial Inteligence 109

Artificial Inteligence Technical Advisors Data Machine Learning 109

Mobilunity

DECEMBER 28, 2022

ML app migration is an important process that helps companies move their existing applications over to ML-based systems. A machine learning remote engineer can build custom ML apps and develop software with advanced capabilities such as AR elements, NLP ability, and virtual visualization. IoT development. ML support. Mobilunity.

Machine Learning 52

Machine Learning Artificial Inteligence Engineering How To 52

DataRobot

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). This is currently a widespread strategy across the industry where we are seeing companies move from reactive to predictive inventory management and capacity planning. Factory Monitoring?—?

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52