O'Reilly Media - Data

AUGUST 16, 2018

The deployment of big data tools is being held back by the lack of standards in a number of growth areas. Technologies for streaming, storing, and querying big data have matured to the point where the computer industry can usefully establish standards. The main standard with some applicability to big data is ANSI SQL.

Big Data 124

Big Data Data Storage Azure 124

CIO

JANUARY 13, 2023

Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. Defenders have access to an enormous amount of data from networks, endpoints, and clouds. They are: Innovations in automation.

Security 363

Security Innovation Artificial Inteligence Weak Development Team 363

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 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

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. AI is the perception, synthesis, and inference of information by machines, to accomplish tasks that historically have required human intelligence.

Artificial Inteligence 290

Artificial Inteligence Strategy Data Machine Learning 290

TechCrunch

OCTOBER 7, 2021

Increasingly, conversations about big data, machine learning and artificial intelligence are going hand-in-hand with conversations about privacy and data protection. They could see that the longer-term issue would be a growing need and priority for data privacy. But humans are not meant to be mined.”

Artificial Inteligence 246

Artificial Inteligence Technical Review Engineering Data 246

Hu's Place - HitachiVantara

JUNE 11, 2019

The global big data market is expected to grow at a CAGR of 22.4% Data analytics is expected to be the key driver for this market. However, the stocks of big data analytics vendors have been tanking in a way that is reminiscent of the dot com bust. So, what is happening?

Big Data 63

Big Data Analytics Cloud Data 63

CTOvision

JANUARY 23, 2015

Editor''s note: Allen Bonde, of embedded analytics leader Actuate (now a subsidiary of OpenText), believes that the opportunities around Big Data, Internet of Things (IoT) and wearables are about to change our world – and that of business applications. - Look beyond the IoT buzz. By Allen Bonde. billion mark.

IoT 125

IoT Big Data Machine Learning Artificial Inteligence 125

CIO

SEPTEMBER 8, 2022

Machine learning (ML) is a commonly used term across nearly every sector of IT today. And while ML has frequently been used to make sense of big data—to improve business performance and processes and help make predictions—it has also proven priceless in other applications, including cybersecurity.

Machine Learning 363

Machine Learning Artificial Inteligence CTO Malware 363

Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

IoT 40

IoT Machine Learning Artificial Inteligence Data 40

Trigent

APRIL 14, 2022

Here, we want to talk about how the workplace has changed forever: especially the distributed enterprise. . To be fair, the distributed enterprise is not a new concept at all. How will you make the Distributed Enterprise future-ready? . The data was being processed remotely by a cloud server, and response time was slow.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more.

Software Review 94

Software Review Technical Review Software Development Team Review 94

OTS Solutions

JULY 18, 2023

In today’s digital age, the success of any enterprise is increasingly dependent on its ability to deliver high-quality software products and services quickly and efficiently. To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

DXC

MARCH 11, 2019

If your industry hasn’t already been disrupted by competitors wielding the latest wave of new technology — Big Data, cloud, mobile, AI, machine learning, robotic process automation, IoT, […]. But the urgency to make real progress is mounting.

Enterprise 58

Enterprise IoT Machine Learning Artificial Inteligence 58

TechCrunch

AUGUST 24, 2022

We’ll update this if we learn more. The capital and relocation speaks not just to key moment for the company, but also for the area of machine learning and wider trends impacting Chinese-founded startups. The total raised by the company is now $113 million.

Open Source 199

Open Source Artificial Inteligence Comparison B2C 199

Apiumhub

FEBRUARY 6, 2023

We are excited to announce that for the second year in a row , Apiumhub will support the Data Innovation Summit , which will take place on May 11th and 12th in Kistamässan, Stockholm. It’s a fantastic opportunity to network and learn from case studies and outstanding industry leaders.

Innovation 82

Innovation Data Machine Learning Artificial Inteligence 82

OTS Solutions

JULY 18, 2023

In today’s digital age, the success of any enterprise is increasingly dependent on its ability to deliver high-quality software products and services quickly and efficiently. To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

AWS Machine Learning - AI

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock supports multiple vector databases, including Amazon OpenSearch Serverless , Amazon Aurora , Pinecone, and Redis Enterprise Cloud. For enterprise implementations, Knowledge Bases supports AWS Key Management Service (AWS KMS) encryption, AWS CloudTrail integration, and more.

Knowledge Base 110

Knowledge Base Artificial Inteligence Generative AI AWS 110

Sunflower Lab

JUNE 8, 2023

Intelligent Healthcare Solutions for Remote Treatment Modoscript partnered with Sunflower Lab to improve the remote health monitoring of chronically ill patients through IoT. Instead of keeping to the usual pen-and-paper record approach, they have EHR and patient treatment data updated in real-time through Galen data.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Generative AI Machine Learning 52

OTS Solutions

DECEMBER 22, 2023

Overview of Digital Transformation Digital transformation means the operational, cultural, and organizational changes within an organization’s ecosystem with the help of modern technologies such as cloud computing, the Internet of Things, artificial intelligence, machine learning, mobile apps, etc.

Artificial Inteligence 130

Artificial Inteligence Technical Review Artificial Intelligence Weak Development Team 130

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. Building an AI or machine learning model is not a one-time effort.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Datavail

APRIL 28, 2020

Since the term ‘ Internet of Things ‘ (IoT) was first coined in 1997, the global enthusiasm for its possible uses has exploded. Businesses and industries now rely on IoT-powered supply chains to track every widget from design to ultimate installation, and the data lakes it has generated are immense and growing.

VR 52

VR Data IoT Artificial Inteligence 52

OTS Solutions

MAY 2, 2023

Cloud computing: Cloud computing has become a critical technology in Enterprise Digital Transformation. It enables businesses to store, access, and process data remotely via the Internet. Artificial intelligence and machine learning: Artificial and machine learning are critical technologies in digital transformation.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Private clouds are not simply existing data centers running virtualized, legacy workloads. They require highly modernized digital application and service environments running on true cloud platforms like Hitachi Enterprise Cloud. We are all thrilled to welcome them to our own team of talented professionals.

Cloud 78

Cloud Google Cloud Azure AWS 78

Cloudera

JANUARY 19, 2018

Machine Learning in the Age of Big Data. Sean Anderson provides a tutorial on machine learning. From its origins in the 1950’s to today, the age of big data. Sean ascertains that larger data sets and increased access to compute power is propelling the adoption of machine learning.

Artificial Inteligence 45

Artificial Inteligence Machine Learning Big Data IoT 45

OverOps

SEPTEMBER 20, 2018

The Do’s and Don’ts That Every IoT Project Should Be Built On. Predicting London Crime Rates Using Machine Learning Toolkit. It’s the story of how a simple timesheet and the mixture of automation, machine learning and Splunk, cannot only thwart an insider threat but also provide highly detailed statistical analysis.

Artificial Inteligence 133

Artificial Inteligence Artificial Intelligence DevOps IoT 133

Cloudera

JANUARY 26, 2022

According to 451 Research , 96% of enterprises are actively pursuing a hybrid IT strategy. Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. Big Data” became a topic of conversations and the term “Cloud” was coined. .

Cloud 83

Cloud Data Architecture Virtualization 83

Cloudera

AUGUST 18, 2021

Data Lifecycle Management: The Key to AI-Driven Innovation. In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven.

Innovation 87

Innovation Artificial Inteligence Data IoT 87

Cloudera

JANUARY 20, 2021

Reporting – delivering business enterprise insight (sales analysis and forecasting, market research, budgeting as examples). Predictive Analytics – predictive analytics based upon AI and machine learning (Fraud detection, predictive maintenance, demand based inventory optimization as examples).

Data 105

Data Artificial Inteligence Analytics Machine Learning 105

Perficient

MAY 23, 2023

Information technology (IT) typically refers to the use of computers, software, and networks for managing and processing data and information. It encompasses areas such as enterprise resource planning (ERP) systems, data analytics, cybersecurity, cloud computing, and communication networks. Smart Factories and Industry 4.0:

Technology 59

Technology Artificial Inteligence IoT Azure 59

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Advanced analytics empower risk reduction . Improve Visibility within Supply Chains.

Analytics 108

Analytics Open Source Government Machine Learning 108

CTOvision

DECEMBER 30, 2015

AI and related disciplines like Machine Learning are enabling computers to assist humans in performance of their jobs now, and with AI being coupled with incredibly low cost cloud computing we see rapid development of capabilities continuing. The home will be a major avenue for IoT advances. Everyone needs help.

Technical Review 62

Technical Review Trends Report Enterprise 62

CTOvision

JUNE 15, 2015

You know Spark, the free and open source complement to Apache Hadoop that gives enterprises better ability to field fast, unified applications that combine multiple workloads, including streaming over all your data. IBM just announced a major new push around Apache Spark. IBM has been a decades long leader in open source innovation.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

Hu's Place - HitachiVantara

APRIL 11, 2019

Few Data Management Frameworks are Business Focused Data management has been around since the beginning of IT, and a lot of technology has been focused on big data deployments, governance, best practices, tools, etc. However, large data hubs over the last 25 years (e.g., What has changed since then?

Data Engineering 81

Data Engineering Machine Learning Artificial Inteligence Technical Review 81

O'Reilly Media - Ideas

DECEMBER 5, 2018

Get hands-on training in Kubernetes, machine learning, blockchain, Python, management, and many other topics. Learn new topics and refine your skills with more than 120 new live online training courses we opened up for January and February on our online learning platform. Artificial intelligence and machine learning.

Artificial Inteligence 105

Artificial Inteligence Course Training Blockchain 105

Altexsoft

AUGUST 29, 2023

It is a versatile platform for exploring, refining, and analyzing petabytes of information that continually flow in from various data sources. Who needs a data lake? If the intricacies of big data are becoming too much for your existing systems to handle, a data lake might be the solution you’re seeking.

Architecture 52

Architecture Data Storage Machine Learning 52

Mobilunity

MAY 8, 2023

An Enterprise Data Lake is a large, centralized repository that stores structured and unstructured data at scale. It is designed to store vast amounts of data from a variety of sources. Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise.

Engineering 52

Engineering Data Storage AWS 52

Capgemini

APRIL 21, 2020

AI, RPA, machine learning, chatbots, analytics, IoT software and hardware, virtual reality, SaaS and PaaS, blockchain, new cybersecurity methods and tactics, enterprise social software, the list goes on and on. No enterprise IT organization is equipped to handle all that innovation.

Technical Review 52

Technical Review Innovation Software Review Development Team Review 52