CIO

DECEMBER 13, 2023

Unlike that energy company, many organizations have yet to feel an urgency to capitalize on the value of their vast reservoirs of unstructured data. After all, we in the information management and technology industry have talked at length about unstructured data since “Big Data” was big news more than a decade ago.

Generative AI 243

Generative AI Data Artificial Inteligence Video 243

Cloudera

OCTOBER 25, 2023

The event invites individuals or teams of data scientists to develop an end-to-end machine learning project focused on solving one of the many environmental sustainability challenges facing the world today. This isn’t your ordinary hackathon — it’s meant to yield real, actionable climate solutions powered by machine learning.

Artificial Inteligence 100

Artificial Inteligence Machine Learning Data Sustainability 100

TechCrunch

FEBRUARY 17, 2021

The water filtration and purification service provider DuPont Water Solutions has teamed up with Vulcan Energy Resources, a developer of lithium mining and renewable energy projects, to test a new process for direct lithium extraction. That’s one reason why DuPont is making a push to prove out its extraction technologies.

Energy 201

Energy Weak Development Team Chemicals Resources 201

Altexsoft

MARCH 30, 2020

The average cost of unplanned downtime in energy, manufacturing, transportation, and other industries runs at $250,000 per hour or $2 million per working day. the fourth industrial revolution driven by automation, machine learning, real-time data, and interconnectivity.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

CIO

AUGUST 29, 2022

Here are seven key ways that IT leaders can contribute to sustainability efforts that go beyond just “turning the data center green”: Technology: Improve software efficiency to reduce hardware energy costs, including the use of cloud software; adopting Internet of Things sensors to improve efficiency; exploring artificial intelligence and machine learning (..)

Sustainability 210

Sustainability Enterprise Artificial Inteligence Google Cloud 210

CIO

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. Energy: Forecast long-term price and demand ratios. from 2022 to 2028.

Analytics 358

Analytics Data Artificial Inteligence Healthcare 358

Apiumhub

NOVEMBER 15, 2023

Data Explosion One of the central aspects of IoT is data. With billions of connected devices generating data continuously, the IoT has ushered in an era of big data on an unprecedented scale. Edge devices and gateways enable data processing closer to the data source, reducing latency and bandwidth requirements.

Internet 91

Internet Examples IoT Artificial Inteligence 91

OTS Solutions

JULY 28, 2022

AI (artificial intelligence) and machine learning (learning by machines) have been getting a lot of attention lately as digital trends in many fields. They can have less of an effect on the environment if they use less energy and resources. Luckily, machine learning is giving us a way out. Mobile App.

Artificial Inteligence 204

Artificial Inteligence Blockchain Banking Fintech 204

TechCrunch

FEBRUARY 4, 2021

Meanwhile, KoBold is a software developer that uses machine learning and big data processing technologies to find new prospects for the precious metals that companies need to make new batteries and renewable energy generation technologies.

Machine Learning 169

Machine Learning Artificial Inteligence Sustainability Energy 169

CTOvision

MARCH 22, 2016

According to Vice President Biden, the biggest challenge impeding the cancer research progress is the siloed nature of clinical data. The Tamr platform combines human insight with machine learning algorithms to unify and prepare data across data silos for analytics. Invest today in the tech of tomorrow.​

Machine Learning 66

Machine Learning Artificial Inteligence Analytics Organization 66

TechCrunch

AUGUST 2, 2022

But Ranade and Ural believed that going the venture route would allow them to expand Arena’s core technology while growing into industries such as manufacturing, renewable energy and financial services. It’ll certainly need a substantial war chest to compete in the growing market for data analytics products.

Analytics 207

Analytics Big Data Automotive Enterprise 207

Hacker Earth Developers Blog

JULY 19, 2018

Recent advances in AI have been helped by three factors: Access to big data generated from e-commerce, businesses, governments, science, wearables, and social media. Improvement in machine learning (ML) algorithms—due to the availability of large amounts of data. Applications of AI. Conclusion.

Artificial Inteligence 200

Artificial Inteligence Artificial Intelligence Applications Technical Review 200

Hacker Earth Developers Blog

MARCH 5, 2019

The Industrial IoT (IIoT), also known as the industrial internet or industrie 4.0 , employs big data technologies and machine learning to exploit machine-to-machine (M2M) communication, sensor data, and automation technologies that are already in place. Industrial IoT. Smart Retail.

IoT 283

IoT Internet Applications Innovation 283

MagmaLabs

APRIL 25, 2023

Let us start with something big about the unprecedented digital shift we are facing: The pandemic was just the beginning. From the war in Ukraine and post-Brexit to an energy crisis and rising inflation spanning the globe. Big Data The term “big data” is used to describe large and complex data sets.

Trends 52

Trends eCommerce Artificial Inteligence Software 52

MagmaLabs

APRIL 25, 2023

Let us start with something big about the unprecedented digital shift we are facing: The pandemic was just the beginning. From the war in Ukraine and post-Brexit to an energy crisis and rising inflation spanning the globe. Big Data The term “big data” is used to describe large and complex data sets.

Trends 52

Trends eCommerce Artificial Inteligence Software 52

Altexsoft

JUNE 2, 2020

What Is Machine Learning and How Is it Used in Cybersecurity? Machine learning (ML) is the brain of the AI—a type of algorithm that enables computers to analyze data, learn from past experiences, and make decisions, in a way that resembles human behavior. Some can even automatically respond to threats.

Artificial Inteligence 93

Artificial Inteligence Examples Applications Machine Learning 93

TechCrunch

MAY 4, 2021

Zoe uses big data and machine learning to come up with predictive insights on how people will respond to different foods so that it can offer individuals guided advice on what and how to eat, with the goal of improving gut health and reducing inflammatory responses caused by diet. .”

Artificial Inteligence 248

Artificial Inteligence Research Exercises Machine Learning 248

Trigent

AUGUST 22, 2021

Energy and cost savings with smarter homes. Intelligent thermostats and HVAC help save energy and predict your bills based on usage, while sensors and integrated systems ensure security. A more connected, data-driven world with AR, VR, AI, Machine Learning, and Big Data.

Technical Review 52

Technical Review Trends Real Estate Technology 52

Capgemini

NOVEMBER 23, 2022

Just like cloud and big data before it – and alongside artificial intelligence, blockchain, and the metaverse during the next decade – quantum technology is likely to have a transformative impact on society. Why emerging technologies can be part of the solution. Conclusion: A plea for consideration.

Sustainability 52

Sustainability Technical Review Technology Artificial Inteligence 52

Tandem

APRIL 2, 2024

With the ever-expanding set of emerging technologies — big data, machine learning (ML), artificial intelligence (AI), next-gen user experiences (UI/UX), edge computing, the Internet-of-things (IoT), microservices, and Web3 — there is a huge surface area to address.

UI/UX 59

UI/UX Software Weak Development Team Artificial Inteligence 59

AWS Machine Learning - AI

NOVEMBER 24, 2023

The SnapLogic Intelligent Integration Platform (IIP) enables organizations to realize enterprise-wide automation by connecting their entire ecosystem of applications, databases, big data, machines and devices, APIs, and more with pre-built, intelligent connectors called Snaps. Sandeep holds an MSc.

Artificial Inteligence 81

Artificial Inteligence Applications Generative AI AWS 81

Altexsoft

MAY 20, 2020

Other most popular activity areas are energy, mobility, smart cities and healthcare. Amazon QuickSight , a business intelligence service to visualize data insights, Jupyter Notebook that provides powerful tools for machine learning and advanced statistical analysis, and. The largest target areas for IoT platforms.

IoT 141

IoT Azure AWS Transportation 141

Cloudera

AUGUST 21, 2020

And next to those legacy ERP, HCM, SCM and CRM systems, that mysterious elephant in the room – that “Big Data” platform running in the data center that is driving much of the company’s analytics and BI – looks like a great potential candidate. . Streaming data analytics. . Data science & engineering.

Big Data 74

Big Data Data Center Cloud Open Source 74

CloudSphere

AUGUST 10, 2023

Spearheading this change are advanced technologies like: Artificial intelligence (AI) Machine learning Automation Analytics How Tech Is Transforming HR As these technologies become pervasive within organizations worldwide, HR will have the opportunity to leverage them more and more.

Technical Review 52

Technical Review Technology Artificial Inteligence Artificial Intelligence 52

Exadel

APRIL 27, 2023

The amount of data which banks needed to process was huge and hard to track manually. RegTech filled that gap and provided machine learning and predictive analytics tools to prevent fraudulent activity. RegTech solutions are being adopted in different sectors such as healthcare, energy, and telecommunications.

Banking 52

Banking Report Compliance Fintech 52

d2iq

JANUARY 23, 2023

We have entered the next phase of the digital revolution in which the data center has stretched to the edge of the network and where myriad Internet of Things (IoT) devices gather and process data with the aid of artificial intelligence (AI).As Every day, huge amounts of data are generated, streamed, and moved in cloud environments.

Artificial Inteligence 69

Artificial Inteligence Artificial Intelligence IoT Data Center 69

OTS Solutions

JULY 28, 2022

This meant that customers had to go to a branch or a broker’s office, which took time and energy. With Blockchain, Big Data, AI (Artificial Intelligence), ML (Machine Learning), and many other innovative technologies, business leaders are advised to incorporate Fintech culture into their business models.

Mobile 195

Mobile Industry Banking Fintech 195

Apiumhub

MARCH 16, 2021

Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information. It has become a necessary tool in the era of big data. It is a suite of software and services to transform data into actionable intelligence and knowledge. MicroStrategy.

Business Intelligence 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

Hu's Place - HitachiVantara

JUNE 12, 2018

Hitachi and Hitachi Vantara considers business analytics to be one of the key drivers for our customer’s success in this age of big data, digital transformation and IoT and is approaching business analytics with the same “startup” or pioneering spirit that has sustained us for over 118 years.

Business Analytics 40

Business Analytics Analytics Big Data IoT 40

Cloudera

MARCH 13, 2019

The Data Heroes initiative is one of the ways that we recognize customers who achieve outstanding results with Cloudera technologies. The Data Visionary, Data Scientist, Data Architect, and HCC Community Champion awards are given out to organizations transforming their businesses through Big Data.

Artificial Inteligence 69

Artificial Inteligence Data Disaster Recovery Artificial Intelligence 69

CTOvision

OCTOBER 18, 2013

With the continuous development of advanced infrastructure based around Apache Hadoop there has been an incredible amount of innovation around enterprise “Big Data” technologies, including in the analytical tool space. How do you know which technologies deserve your time and energy? This is great for analysts!

Technical Review 99

Technical Review Analytics Technology Big Data 99

Cloudera

NOVEMBER 18, 2021

By adopting a custom developed application based on the Cloudera ecosystem, Carrefour has combined the legacy systems into one platform which provides access to customer data in a single data lake. As a longtime player in the energy industry, ExxonMobil has 100 years of data and learnings scattered across millions of digital records.

Data 76

Data Artificial Inteligence Banking Systems Review 76

Capgemini

MARCH 8, 2023

At the same time, they recognize this is an opportunity to develop an enterprise-level perspective on data – moving beyond data at the level of the well, the field, or even the region. So the will exists. What’s needed is a way forward. The post Drilling for value with MDM appeared first on Capgemini USA.

Government 52

Government Strategy Sustainability Enterprise 52

Hu's Place - HitachiVantara

JULY 24, 2019

AI or Machine Learning requires the computation of an enormous amount of data and is very compute intensive. One of the limitations for AI and Machine Learning is the limitations of today’s computers. CPUs are built on the Von Neumann architecture which connects a processing unit to a memory over a bus.

Artificial Inteligence 40

Artificial Inteligence Artificial Intelligence Machine Learning Hardware 40

TIBCO - Connected Intelligence

FEBRUARY 22, 2021

In a recent webinar, Steven Hillion and Catalina Herrera answered questions from the data science community on where to focus your energy and how to get hired as a data scientist in 2021. Ground level, you need some type of statistical and machine learning experience. For big data, Spark is worth learning as well.

Technical Advisors 26

Technical Advisors Data Machine Learning Artificial Inteligence 26

Altexsoft

NOVEMBER 10, 2022

You can’t imagine modern healthcare without data science. Bioinformatics – a modern area of study that sits between biology, medicine, mathematics, and computer science – is using complex software and big data analysis to understand the disease better than it was ever possible, and is succeeding at that. Big data scalability.

Analysis 52

Analysis Data Study Technical Review 52

Infinidat

OCTOBER 4, 2023

The 2021 attack on one of the largest energy companies in the United States, which provides bout 45% of the U.S. 3 – Automation With the vast amounts of big data in data lakes increasing, the only way that is humanly possible to manage all this data is with machine learning-based automation to hone enterprise security infrastructures.

Storage 71

Storage Development Team Review Malware Systems Review 71