CIO

MAY 18, 2023

For grasping artificial intelligence Sherry Comes, former CTO at IBM Watson and current managing director of conversational AI at PwC, thinks you need to read Age of Invisible Machines: A Practical Guide to Creating a Hyperautomated Ecosystem of Intelligent Digital Workers (Wiley, 2022) by Robb Wilson.

CTO Coach 327

CTO Coach Weak Development Team Culture Leadership 327

DevOps.com

APRIL 26, 2020

Artificial intelligence for IT operations (AIOps) is a fairly new catch-all term for any multi-layered development initiative involving big data analytics, machine learning and/or AI to automate and solve business and IT problems. This is a dramatic shift in […].

Artificial Inteligence 131

Artificial Inteligence Games Artificial Intelligence Machine Learning 131

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures. It can also help organizations better understand their data and make data-driven decisions.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OverOps

SEPTEMBER 20, 2018

Another main feature is the new Splunk IT Service Intelligence (ITSI) dashboard, which brings artificial intelligence to events so you can get visibility across IT and business services. Since it focuses on data, and its importance in detecting, finding and predicting issues within the application and servers.

Artificial Inteligence 133

Artificial Inteligence Artificial Intelligence DevOps IoT 133

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

Altexsoft

JULY 23, 2020

It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures. It can also help organizations better understand their data and make data-driven decisions. A Comprehensive Guide.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

O'Reilly Media - Ideas

JUNE 4, 2019

Proposals for the O’Reilly Open Source Software Conference emphasize cloud native, AI/ML, and data tools and topics. DevOps, cloud, big data, artificial intelligence (AI), and machine learning (ML)—is encoded in the record of speaker proposals from the O’Reilly Open Source Software Conference (OSCON).

Open Source 92

Open Source Artificial Inteligence Software Artificial Intelligence 92

TechCrunch

SEPTEMBER 13, 2022

“DevOps engineers … face limitations such as discount program commitments and preset storage volume capacity, CPU and RAM, all of which cannot be continuously adjusted to suit changing demand,” Melamedov said in an email interview. He briefly worked together with Baikov at big data firm Feedvisor.

Cloud 243

Cloud Storage DevOps Case Study 243

Dzone - DevOps

MAY 28, 2020

" Thanks to machine learning, big data, cloud, and artificial intelligence, we have managed to communicate with "computers" through the most natural way of communication of the human being: speech. VUI is the interface of any speech application."

Artificial Inteligence 46

Artificial Inteligence Artificial Intelligence Testing DevOps 46

CircleCI

NOVEMBER 18, 2021

AIOps is an approach to managing the exponential growth of IT operations and the complexity of new technology through the application of artificial intelligence (AI). IT infrastructure increasingly relies on complicated deployments, multi-cloud architectures, and huge amounts of data. DevOps vs AIOps. Cooperating with AI.

Artificial Inteligence 52

Artificial Inteligence Weak Development Team Artificial Intelligence Machine Learning 52

CTOvision

AUGUST 21, 2019

Read how artificial intelligence can help the evolution of big data on CIO : In today’s organizations, CxOs are challenged to realize the value of artificial intelligence (AI), as well as to achieve a positive return on investments made in AI and an AI approach known as machine learning (ML).

Artificial Inteligence 20

Artificial Inteligence Big Data Artificial Intelligence Data 20

DevOps.com

FEBRUARY 4, 2021

AIOps uses artificial intelligence by combining big data, analytics and machine learning to enhance IT operations. To successfully adopt and scale AIOps, it is critical for enterprises to add the mainframe to the equation. Adopting AIOps requires a holistic approach focused on business processes and workflows.

Artificial Inteligence 61

Artificial Inteligence Artificial Intelligence Machine Learning Big Data 61

Marv's Smart Future

SEPTEMBER 21, 2020

The DoD is now betting that DevSecOps will help the Military Services more rapidly deliver cutting edge Artificial Intelligence (AI) enabled applications to enhance combat operations. Wikipedia defines DevOps as: “ DevOps is a set of practices that combines software development ( Dev ) and IT operations ( Ops ). .”

Software 105

Software Artificial Inteligence Artificial Intelligence Weak Development Team 105

TechCrunch

DECEMBER 1, 2020

DevOps continues to get a lot of attention as a wave of companies develop more sophisticated tools to help developers manage increasingly complex architectures and workloads. ” Not a great scenario.

Tools 214

Tools Data Weak Development Team Big Data 214

TechCrunch

MARCH 21, 2023

Because “the great repatriation” now taking place among public companies also has direct implications for startup DevOps teams, Robinson shares suggestions for “a few things that can be done to ensure future flexibility for where workloads are created.”

Hardware 215

Hardware Cloud Windows Big Data 215

O'Reilly Media - Data

APRIL 11, 2018

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

Data Engineering 280

Data Engineering Engineering Data Artificial Inteligence 280

Samanage

APRIL 16, 2019

The good news is that the importance of IT leadership will continue to grow as organizations apply ITSM best practices across multiple departments, integrating DevOps, Agile, Lean, and other key principles and strategies to drive business success. The application of machine learning and artificial intelligence to drive the rise of automation.

Artificial Inteligence 75

Artificial Inteligence Agile Artificial Intelligence Machine Learning 75

OTS Solutions

MAY 2, 2023

Artificial intelligence and machine learning: Artificial and machine learning are critical technologies in digital transformation. They enable businesses to analyze the vast amount of data in real time, identify patterns and insights, and automate repetitive processes.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Kentik

MARCH 9, 2023

Application telemetry The bread and budder of the DevOps world, application-level, or “layer 7,” telemetry is finding increasing value under the purview of NetOps. Unified data platforms also facilitate using machine learning and artificial intelligence algorithms to detect and alert on network issues automatically.

Network 97

Network WAN Artificial Inteligence IoT 97

OTS Solutions

AUGUST 30, 2018

2018 is a year where you are going to witness a change in enterprise mobile apps development, thanks to the current trends in hybrid cloud, container infrastructure, blockchain, and DevOps. How enterprise mobile apps development changing IT strategy. The progression of blockchain in enterprises. billion by the year 2021.

Mobile 100

Mobile Enterprise Strategy Blockchain 100

Exadel

AUGUST 18, 2021

Software Development Services Exadel’s extensive expertise in software engineering services covers various areas — from Big Data, Artificial Intelligence, and Quality Assurance to DevOps, Cloud, and Marketing Technology.

Quality Assurance 52

Quality Assurance Artificial Intelligence Artificial Inteligence Software Engineering 52

Exadel

AUGUST 18, 2021

Software Development Services Exadel’s extensive expertise in software engineering services covers various areas — from Big Data, Artificial Intelligence, and Quality Assurance to DevOps, Cloud, and Marketing Technology.

Quality Assurance 52

Quality Assurance Artificial Intelligence Artificial Inteligence Software Engineering 52

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. Internet of Things (IoT), big data, and AI/ML capabilities for software outsourcing.

Software Review 94

Software Review Technical Review Software Development Team Review 94

O'Reilly Media - Ideas

DECEMBER 5, 2018

Artificial intelligence and machine learning. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , January 7-8. Artificial Intelligence for Robotics , January 24-25. Protecting Data Privacy in a Machine Learning World , January 31. Data science and data tools.

Artificial Inteligence 102

Artificial Inteligence Course Training Blockchain 102

Apiumhub

JUNE 13, 2023

Inma also recommends following experts on social media including, Allen Hollow, who shares content con software development, and Nerea Luis, a Spanish computer scientist who regularly posts tweets on artificial intelligence. She also shared with us the aspects she would like to improve or learn this year.

Software Development 65

Software Development Software Review Software Development 65

Datavail

MARCH 4, 2021

Big data analytics that can keep up with the ever-growing volume and complexity of big data, including by using Azure Data Services in the cloud. Artificial intelligence (AI) for BI to help users explore data and find new patterns and connections, without writing a single line of code.

Performance 52

Performance Azure Analytics Artificial Intelligence 52

Linux Academy

JANUARY 26, 2019

Compute- and storage-intensive applications find their way to the cloud because of the need to scale so large that on-premises data centers are simply no longer feasible. The impending release of 5G cellular networks will further increase the use of wireless platforms.

Cloud 60

Cloud Artificial Inteligence Data Center Artificial Intelligence 60

Apiumhub

MARCH 23, 2021

These days, businesses use data to define their internal business objectives and metrics. Data Lakes offer agile analytics to measure you are continually evolving business. Data lakes really became the cornerstones of modern big data architecture. What is Data Lake? I hope you find this article useful!

Architecture 52

Architecture Artificial Inteligence Data Machine Learning 52

RapidValue

FEBRUARY 18, 2021

Integration of Artificial Intelligence. Thanks to its numerous benefits, the global Artificial Intelligence market is expected to reach $267 billion by 2027. Increasing Need for Data Security. However, it also comes with the risk of data security breaches.

Trends 98

Trends Cloud Artificial Intelligence Artificial Inteligence 98

Trigent

APRIL 14, 2022

These smaller services can be highly efficient and lend themselves to high scalability, but not without loading DevOps teams with the additional pressure of housekeeping. When Ducati, a global automotive giant, undertook a data center modernization project, they expected gains, but that was not how it turned out.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

CloudScaling

JULY 28, 2016

As you’d expect, there are a few that deal with our contributions to the OpenStack’s core storage technologies, but we’re also offering useful tutorials and insights into networking, operations, Platform-as-a-Service (Paas), containers, Artificial Intelligence (AI) and much more. Tenancy Data Backup Beyond Freezer & Raksha.

Artificial Intelligence 40

Artificial Intelligence Artificial Inteligence Backup Weak Development Team 40

The Citus Data

MARCH 31, 2023

EMEA livestream, parallel queries, PostgreSQL) Postgres and the Artificial Intelligence Landscape , by Bruce Momjian of EDB, a prolific speaker who is speaking again at Citus Con this year. (on-demand

Azure 85

Azure Open Source Virtualization Software Engineering 85

O'Reilly Media - Ideas

JANUARY 25, 2022

AI, ML, and Data. There’s been a lot of speculation in the press about artificial intelligence. That’s not what our data shows. Yes, usage of content with “artificial intelligence” in the title is down 23% in 2021, and “AI” is down 11%. Operations, DevOps, and SRE. AI is, by nature, a research topic.

Trends 109

Trends Technical Review Technology Artificial Inteligence 109

Altexsoft

JUNE 25, 2019

Being at the top of data science capabilities, machine learning and artificial intelligence are buzzing technologies many organizations are eager to adopt. If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. “The

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

O'Reilly Media - Ideas

JANUARY 2, 2019

Artificial Intelligence for Robotics , January 24-25. Protecting Data Privacy in a Machine Learning World , January 31. Artificial Intelligence: Real-World Applications , January 31. Artificial Intelligence for Big Data , February 26-27. Data science and data tools.

Course 57

Course Artificial Inteligence Training Blockchain 57

Xicom

NOVEMBER 19, 2020

Will emerging technologies like Artificial Intelligence and Data Analytics still dominate the headlines, or will there be newcomers, previous core technologies will stay a hot-pick for app development companies in Dubai and take the lead. . As already known, Artificial Intelligence is an early entrant in the ICT space.

Mobile 98

Mobile Weak Development Team Development Blockchain 98