CIO

AUGUST 9, 2023

Why digital transformation matters The arrival of the commercial internet in the late 20th century followed by high-speed bandwidth and mobile technologies in the first decade of the 21st century drove earlier waves of digitalization, as people started to shift from in-person, analog interactions to online transactions.

Technical Review 344

Technical Review Software Review Artificial Inteligence Survey 344

O'Reilly Media - Ideas

JANUARY 8, 2019

In a recent O’Reilly survey , we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. For most companies, the road toward machine learning (ML) involves simpler analytic applications. Sustaining machine learning in an enterprise.

Trends 83

Trends Data Machine Learning Artificial Inteligence 83

TechCrunch

MAY 17, 2022

In April, Amazon threw its hat in the ring with the general launch of Lookout for Equipment, a service that ingests sensor data from a customer’s industrial equipment and then trains a machine learning model to predict early warning signs of machine failure. billion by 2025. billion, up from $3.4 billion in 2018.

Industry 178

Industry Artificial Inteligence Machine Learning Analysis 178

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

TechCrunch

JULY 21, 2022

It also guides users through the deployment steps, leveraging open source projects designed for Internet of Things orchestration and cyber defense. According to a June 2021 Eclipse Foundation poll, 54% of organizations surveyed were either using or planning to use edge computing technologies within the next 12 months.

Software 207

Software Linux Data Center Hardware 207

Tenable

SEPTEMBER 13, 2024

These findings come from the “ 2023 IC3 Cryptocurrency Report ,” released this week by the FBI’s Internet Crime Complaint Center (IC3). Source: “2023 IC3 Cryptocurrency Report” from the FBI’s Internet Crime Complaint Center, September 2024) Other report takeaways include: Most of the losses – 70% – came from investment scams.

Infrastructure 73

Infrastructure Technical Review Artificial Inteligence Recruiting 73

InfoBest

JANUARY 25, 2024

AI and machine learning have become ubiquitous, infiltrating almost every industry and even our homes, often operating quietly in the background, enhancing efficiency and user experiences. However, fully unlocking IoT’s potential requires skilled software developers. The global AI market, valued at USD 454.12

Software Development 52

Software Development Trends Software Development 52

Cutter Consortium

MARCH 13, 2018

Many, including Cutter Consortium Senior Consultant Curt Hall , think AI has the potential to disrupt lots of industries, including banking/financial services, healthcare, automotive, retail, Internet of Things (IoT), IT security, government, and the military. We’re in the midst of conducting a study on AI and machine learning.

Artificial Inteligence 56

Artificial Inteligence Machine Learning Automotive Survey 56

Openxcell

NOVEMBER 27, 2023

In a survey by Statista, the market size of mobile healthcare or mHealth applications is estimated to be worth 257 billion dollars by 2025. Better smartphones and fast internet connectivity have further encouraged this rise of healthcare mobile app development. Given is a graphical representation of the same.

Development 52

Development Healthcare Artificial Inteligence VR 52

Openxcell

MAY 16, 2023

According to a survey conducted by Gartner , “91% of businesses are engaged in some form of digital initiative”, whereas “87% of senior business leaders say digitalization is a priority”. Talent scarcity and skills gap Digital supply chains need new knowledge and abilities, like blockchain, machine learning, and data analytics.

Artificial Inteligence 52

Artificial Inteligence IoT Blockchain Analytics 52

Trigent

JULY 9, 2021

With logistics automation, IoT-enabled connected devices, and tech-driven logistics services coming into play, it’s safe to assume we are in for some significant changes in the industry. Artificial Intelligence (AI) and Machine Learning (ML). Internet of Things (IoT).

Trends 52

Trends Industry IoT Blockchain 52

InfoBest

NOVEMBER 28, 2021

The more we connected through the internet and then through our devices the more the world changed in ways we couldn’t have anticipated. These insights are what will create the internet of behavior or IoB. . The internet of behavior (IoB) is built upon IoT. IoT, the framework on which IoB will develop is ever-growing.

Internet 52

Internet IoT Government Artificial Inteligence 52

Tenable

OCTOBER 14, 2022

Here are major findings from the report, whose security survey questions were based on the defensive measures of the Supply Chain Levels for Software Artifacts (SLSA) framework and of the National Institute of Standards and Technology’s Secure Software Development Framework (SSDF.) . 2 – SecOps is getting harder. Growth in public cloud usage.

Security 52

Security Weak Development Team Retail Software Review 52

Trigent

NOVEMBER 3, 2022

The future of the global supply chain market lies in IoT, integrated solutions, data, and mobility. The ultimate goal of any organization dealing with a pool of connected devices and sensors is to leverage this data by learning the trends and patterns. Connected logistics devices generate a massive amount of data. Enhance transparency.

Analytics 52

Analytics Data IoT Trends 52

Trigent

SEPTEMBER 29, 2023

A recent survey found that nearly 70% of global logistics executives are preparing for a potential recession. Tracking Assets through Internet of Things (IoT) Devices The ability of IoT devices and sensors to communicate and interact has become a game-changer for logistics companies striving to build resilient supply chains.

Infrastructure 52

Infrastructure Technical Review Artificial Inteligence VR 52

Zayo

JANUARY 30, 2019

With the proliferation of new technology, including AI, IoT, 5G and blockchain, enterprises have more data and workloads to manage than ever before. Enterprises are beginning to understand that using the public internet to reach these mission-critical applications is unreliable, costly and not secure.

Trends 40

Trends Cloud Wireless Azure 40

Kentik

JULY 6, 2017

According to Colony, “By buying IBM, Apple would get the world-class machine learning platform.” As for DNS, he advises that IoT devices with 5G connectivity could create “whole new requirements for discovery and addressing of these devices.”. It’s followed by the U.S. and Malaysia. million U.S.

Technical Advisors 40

Technical Advisors Network Telecommunications Wireless 40

Hacker Earth

MARCH 29, 2018

IoT devices, sensors, and telematics have been fast gaining adoption in the insurance sector. Machine learning can be useful in evaluating risk and identifying cross-selling opportunities. 68% of respondents replied in the affirmative reports an Accenture survey. Blockchain. Artificial Intelligence. Augmented Reality.

Insurance 48

Insurance Industry Technology Artificial Inteligence 48

Altexsoft

SEPTEMBER 27, 2020

A recent PWC survey claims that 41 percent of consumers are likely to switch their insurance company in favor of a more digitized one. Internal Workflow Automation with RPA and Machine Learning. Machine learning in Insurance: Automation of Claim Processing. These are the problems. How to approach them?

Insurance 130

Insurance Machine Learning Artificial Inteligence Blockchain 130

CIO

NOVEMBER 17, 2023

This is achieved through efficiencies of scale, as an MSP can often hire specialists that smaller enterprises may not be able to justify, and through automation, artificial intelligence, and machine learning — technologies that client companies may not have the expertise to implement themselves. Managed Service Providers, Outsourcing

Technical Review 324

Technical Review Artificial Inteligence Systems Review Disaster Recovery 324

Altexsoft

JUNE 26, 2023

They track people’s behavior on the Internet, initiate surveys, monitor feedback, listen to signals from smart devices, derive meaningful words from emails, and take other steps to amass facts and figures that will help them make business decisions. All successful companies do it: constantly collect data. What is data collection?

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 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 also is a key element of the U.S. government’s modernization effort.

Artificial Inteligence 69

Artificial Inteligence Artificial Intelligence IoT Data Center 69

Altexsoft

FEBRUARY 8, 2021

Supply chain practitioners and CEOs surveyed by 6river share that the main challenges of the industry are: keeping up with the rapidly changing customer demand, dealing with delays and disruptions, inefficient planning, lack of automation, rising costs (of transportation, labor, etc.), Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Capgemini

FEBRUARY 13, 2024

Using artificial intelligence (AI) and machine learning (ML) allows for continuous improvements from data usage, ensuring a product’s longevity, not obsolescence. And as products improve their behavior over time, they become more adaptive and responsive to specific user needs.

Artificial Inteligence 52

Artificial Inteligence Company Data Artificial Intelligence 52

Openxcell

MARCH 22, 2023

Based on a Deloitte survey , 92% of healthcare professionals and institutions have seen performance improvements due to digital transformation. The healthcare industry gains a lot from integrating cutting-edge technology like AI, Big Data, and IoT. Technology such as Big Data, IoT, Web 3.0, million from $122 million in 2018.

Healthcare 52

Healthcare Trends Technical Review VR 52

BPM

JANUARY 18, 2019

The current Artificial Intelligence (AI) fascination is unfortunately completely biased on Deep Neural Networks (DNN) and Machine Learning (ML) for everything. This fragmentation could deal a killer blow to the promise of large-scale adoption: A Gartner survey found 24% of respondents cited scaling RPA as their number one problem.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Altexsoft

JANUARY 11, 2019

Machine learning and data science advisor Oleksandr Khryplyvenko notes that 2018 wasn’t as full of memorable breakthroughs for the industry, unlike previous years. So, it’s not the state-of-the-art that motivates businesses to use data science more but the standardized approach to machine learning model building. ”.

Artificial Inteligence 94

Artificial Inteligence Artificial Intelligence Trends Data 94

TIBCO - Connected Intelligence

OCTOBER 16, 2019

You are collecting so much data and information from “events” like customer wait times, machine failures, information reports from social media, IoT information like GPS recordings or temperature monitors and it’s all just sitting around collecting dust. Does this scenario sound familiar in your organization?

Architecture 4

Architecture Machine Learning Artificial Inteligence Retail 4

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Surveys by Gartner , IDG , and Right scale in 2018 leave no doubt that cloud adoption is mainstream. Public cloud adoption led the way increasing to 92% in the Right Scale survey. The same survey showed that 81% having a multi-cloud strategy, leveraging almost 5 clouds on average.

Cloud 49

Cloud AWS Open Source Data Center 49

Tenable

NOVEMBER 11, 2022

That’s one finding from the “ 2022 Security Budget Benchmark Report ” by IANS Research and Artico Search, which is based on a survey of 502 CISOs in the U.S. A boom in distributed denial of service (DDoS) attacks, which have gotten more complex and larger, and increasingly focus on mobile networks and IoT systems. and Canada.

Budget 52

Budget Software Review Weak Development Team Small Business 52

OTS Solutions

DECEMBER 5, 2019

There are Some Cloud Myths that Enterprise Should Break Misconceptions about the cloud are all over the internet and outside of it. The cloud services are assessed virtually, that is, over the internet. One of the best advantages of moving to cloud services is giving users data access via the internet.

Enterprise 42

Enterprise Cloud Data Center Virtualization 42

Altexsoft

OCTOBER 31, 2023

Thus, 60 to 70 percent of the McKinsey survey respondents use multiple online and offline channels to research and purchase. The growth of mobile spending is evidence that consumers are increasingly using their smartphones to access the Internet on the go and interact with brands, so it makes sense to provide them with such an opportunity.

Strategy 52

Strategy How To Mobile Media 52

Openxcell

FEBRUARY 7, 2023

of internet applications. Modern.NET platform versions allow programmers to create applications for various platforms, including mobile, desktop, online, machine learning, IoT, and gaming. Framework Machine learning significantly impacts software development. Microsoft released ML.NET 1.4

Weak Development Team 52

Weak Development Team Technical Review Development How To 52

Kaseya

DECEMBER 23, 2020

1 priority for IT teams, as reported in the Kaseya 2020 IT Operations Survey Report. These tools may combine machine learning and intelligent tagging to identify anomalous activity, suspicious changes and threats caused by system misconfigurations. IoT Devices. That’s why IT security continues to be the No.

Artificial Inteligence 106

Artificial Inteligence How To Malware IoT 106

Altexsoft

DECEMBER 9, 2020

Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Some other common methods of gathering data include observation, case studies, surveys, etc. Productionizing machine learning. Analytics maturity model.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

APRIL 27, 2021

What’s even more surprising is that faxes and phone calls remain the communication means of choice in health departments across the country that invented the Internet. Features exposed: NLP engines and machine learning algorithms to derive insights from unstructured medical documents. HHS Content Syndication APIs.

Healthcare 69

Healthcare Software Review Systems Review Technical Review 69