Cloudera

NOVEMBER 1, 2022

A quick trip in the congressional time machine to revisit 2017’s Modernizing Government Technology Act surfaces some of the most salient points regarding agencies’ challenges: The federal government spends nearly 75% of its annual information technology funding on operating and maintaining existing legacy information technology systems.

Cloud 91

Cloud Government Storage Analytics 91

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. AI and machine learning are becoming widely adopted in home appliances, automobiles, plant automation, and smart cities. Building an AI or machine learning model is not a one-time effort.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Kaseya

JUNE 24, 2019

The Internet of Things (IoT) and unsecured IoT devices are also proving to be a huge risk for SMBs. In 2017, 50,000 cyber-attacks were targeted at IoT devices, an increase of 600 percent from 2016 and the number of IoT-driven malware attacks surpassed 121,000 in 2018.

Backup 87

Backup Authentication Disaster Recovery Malware 87

The Parallax

DECEMBER 8, 2017

Car manufacturers are doing more than they used to, but still not enough, says Stefan Savage , a 2017 MacArthur Foundation “Genius” grant recipient and a professor at University of California at San Diego who specializes in car hacking. 5 questions to ask before buying an IOT device.

Software 190

Software Artificial Inteligence Automotive Internet 190

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

One of the vendors that has been on the Gartner Magic Quadrant for Public Cloud Infrastructure Managed Service Providers, Worldwide since its first release in March 2017, is REAN Cloud. The term “hyperscale” is used by Gartner to refer to Amazon Web Services, Microsoft Azure, and Google Cloud Platform.

Cloud 78

Cloud Google Cloud Azure AWS 78

TIBCO - Connected Intelligence

OCTOBER 27, 2020

Check out this short video to learn more about how TIBCO LABS powers the future today. Since its launch in 2017, TIBCO LABS has actively collaborated with customers and partners in various areas of innovation. Digital Twins and IoT Facilitate New Business Opportunities. Reading Time: 3 minutes.

Sustainability 49

Sustainability Innovation IoT Energy 49

Openxcell

MARCH 15, 2019

IoT (Internet of Things) Creating Buzz Globally. IoT has become a noteworthy part of our life not only as an individual but as a whole society. Smart TV, Smart Refrigerator, Smart City, everything has become smart, and the credit for that goes to IoT technology. Video Source: theverge.com ). For different sectors).

Mobile 80

Mobile Trends Artificial Inteligence Blockchain 80

Altexsoft

APRIL 23, 2021

The Internet of Medical Things (IoMT) is a subset of the Internet of Things (IoT) , often referred to as healthcare IoT. That’s three times as much as it was in 2017. networks and gateways, the processing layer , presented by cloud middleware or IoT platforms to store and manage data, and. Let’s get started.

Healthcare 64

Healthcare Internet IoT Systems Review 64

Altexsoft

AUGUST 4, 2020

A 2017 report showed 34 percent of all cyber attacks directed at the healthcare industry , which cybercriminals target with ransomware due to the lucrative nature of medical records. The Internet of Things (IoT) is a useful tool in managing our lives. On the other hand, medical records are more at risk than ever in digital form.

Artificial Inteligence 75

Artificial Inteligence Big Data Technical Review Healthcare 75

Altexsoft

AUGUST 9, 2019

Let’s examine one of the most cutting-edge technologies out there – machine learning – and how the need for reliable, cost-efficient processing power has facilitated the development of software-defined networking. Artificial Intelligence and Machine Learning. Why Machine Learning Needs SD-WAN.

Artificial Inteligence 13

Artificial Inteligence WAN Machine Learning Artificial Intelligence 13

Hu's Place - HitachiVantara

APRIL 11, 2019

That was in a report back in 2017. This gives us the opportunity to not only connect with other vendor’s management stacks like ServiceNow , but also apply analytics and machine learning and automate deployment of resources through REST APIs. What has changed since then? REAN Cloud also provides ongoing managed services.

Data Engineering 81

Data Engineering Artificial Inteligence Machine Learning Technical Review 81

Xicom

SEPTEMBER 16, 2020

Imagine about IoT, Voice, Artificial Intelligence, Machine Learning, Blockchain and many more emerging technologies. Another example of a voice-oriented app is engaging your app with thousands of IoT-connected devices. More the Machine Learning algorithms sort data, the more AI recognizes it for intelligent processing.

Mobile 52

Mobile Trends Development IoT 52

Xicom

JULY 7, 2020

Statistics predict that by 2022, the annual mobile app downloads will reach 258 billion, i.e. 45 per cent increase from 178 billion downloads since 2017. With the help of IoT, doctors can easily maintain and collect valuable information of the patient’s present health, medicine, diagnosis and follow the checkups accordingly.

Mobile 90

Mobile Technology Artificial Inteligence eLearning 90

Palo Alto Networks

DECEMBER 21, 2020

Much has changed since the original NIS Directive was negotiated in 2016, and since the last major set of cybersecurity strategy and legislative proposals was released by the European Commission in 2017. All sectors of the EU’s economy continue to become more digitally dependent and interdependent.

Artificial Inteligence 94

Artificial Inteligence Policies IoT Analysis 94

ParkMyCloud

JUNE 20, 2019

IoT device deployment and management on demand. Machine Learning model training with AKS. Microsoft’s experience with cluster orchestration began with Azure Container Service back in 2017, which supported Kubernetes, Docker Swarm and Mesosphere’s DC/OS. Easily integrated DevSecOps. AKS vs. ACS.

Azure 62

Azure Microservices Google Cloud IoT 62

Cloudera

MAY 10, 2018

Cloudera 2017 Data Impact Award Winners. With advancements in exploratory data science, machine learning, predictive analytics, AI, and data engineering, the world is increasingly driven by data. Enterprise machine learning. Nominate a project or learn more about the program here. Read how to get nominated.

Data 41

Data Artificial Inteligence Machine Learning Data Engineering 41

Altexsoft

AUGUST 31, 2020

Large part of data comes from widely adopted IoT devices used in 60 percent of hospitals in the US today. To learn general terms of data processing, take a look at our business intelligence article. Technologies such as machine learning are widely applied to automate medical data analysis around the globe.

Healthcare 72

Healthcare Analytics Examples Data 72

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

Agile Engine

SEPTEMBER 4, 2018

billion in 2017. In 2017, Stack Overflow named iOS and Android development among the top-3 high-demand skills. A Firebase SDK for machine learning, ML Kit brings image, text, speech, landmark, and face recognition to mobile. With instant apps growing in prominence, Google also places a heavy focus on AI/ML, IoT, and AR.

Mobile 53

Mobile Trends Technical Review Development 53

UruIT

JUNE 30, 2021

Wearable Technology and IoT. According to a report from Digital Authority, the wearable medical device market is expected to reach more than $27 million by 2023, a spectacular jump from almost $8 million in 2017. . The same can alert care managers to of delays in patient care plans. . Artificial Intelligence.

Healthcare 52

Healthcare Artificial Inteligence Trends Industry 52

Hacker Earth

MARCH 29, 2018

According to PwC’s 2017 Global InsurTech Report, the challenges the insurance industry faces in their ability to innovate are. 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.

Insurance 48

Insurance Industry Technology Artificial Inteligence 48

Openxcell

MARCH 15, 2019

IoT (Internet of Things) Creating Buzz Globally. IoT has become a noteworthy part of our life not only as an individual but as a whole society. Smart TV, Smart Refrigerator, Smart City, everything has become smart, and the credit for that goes to IoT technology. Video Source: theverge.com ). For different sectors).

Mobile 40

Mobile Trends Artificial Inteligence Blockchain 40

Ivanti

JUNE 14, 2023

EAP-TLS authentication for our IoT network devices managed over the air. EAP-TLS authentication for our IoT network devices managed over the air.

Weak Development Team 40

Weak Development Team Malware Authentication ChatGPT 40

Coforge

AUGUST 6, 2020

Big data platforms along with machine learning techniques can be implemented to analyze user profiles, create contextual understanding of their travel needs and provide targeted services. Airlines need to slice and dice the plethora of customer data at their disposal to narrowly segment their customer.

Airlines 52

Airlines Travel Mobile IoT 52

Altexsoft

SEPTEMBER 27, 2020

Internal Workflow Automation with RPA and Machine Learning. Depending on the work the machine learning algorithms are going to do and regulations, it may require an explanation layer over the core ML system. Machine learning in Insurance: Automation of Claim Processing. But AI remains a heavy investment.

Insurance 130

Insurance Artificial Inteligence Machine Learning Blockchain 130

Altexsoft

SEPTEMBER 17, 2019

A number of machine-learning-based technologies allow insurance companies to automate this process, reducing the waiting time and freeing agents to work on less routine tasks. Check our separate article to learn more about applications of data science and machine learning in insurance. How it is applied.

Artificial Inteligence 15

Artificial Inteligence Machine Learning Insurance Banking 15

TechCrunch

JUNE 1, 2022

billion internet of things (IoT) devices in use. IoT devices range from connected blood pressure monitors to industrial temperature sensors, and they’re indispensable. These machine learning models also form the basis for zero trust enforcement policies that are dynamically generated by Ordr,” Murphy explained.

Artificial Inteligence 228

Artificial Inteligence IoT Machine Learning Internet 228

CTOvision

JANUARY 21, 2017

Seven Trends and Predictions for 2017. With that in mind, here are my on-the-record predictions for 2017. Prediction: Self-driving cars will complete trials in 2017. Trend #2—Internet of Things (IoT). IoT monitor every step of the process. Philips Healthcare is leading the IoT charge. Nathaniel Crocker.

Artificial Inteligence 85

Artificial Inteligence Trends IoT Machine Learning 85

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 often use AWS for storage and computing large data sets, Azure for its open development platform and GCP for detailed data analytics, AI and machine learning applications.

Trends 40

Trends Cloud Wireless Azure 40

Altexsoft

APRIL 24, 2019

We talked with experts from Perfect Price, Prisync, and a data science specialist from The Tesseract Academy to understand how various businesses can use machine learning for dynamic pricing to achieve their revenue goals. Approaches to dynamic pricing: Rule-based vs machine learning. Functionality of IBM Dynamic Pricing.

Artificial Inteligence 73

Artificial Inteligence Machine Learning Software Review Retail 73

Saviynt

FEBRUARY 25, 2019

Unfortunately, in the rush to secure market share the Internet of Things (IoT) and its commercial equivalent, the Industrial Internet of Things (IIoT), suffered from insufficient security. To put this in context, Mozilla’s 2018 Internet Health Report predicted that up to 30 billion IoT devices will be activated by 2020. billion, a 37.2

Software Review 31

Software Review Technical Review Artificial Inteligence IoT 31

The Cipher Brief

MARCH 8, 2021

He is currently the Vice President of Mission Success at Anno.Ai, where he oversees multiple machine learning-focused development efforts across the government space. The development, training, and retraining of machine learning models to enhance Beijing’s intelligence collection efforts, disrupt U.S.

Artificial Inteligence 72

Artificial Inteligence Systems Review Technical Review Artificial Intelligence 72

Saviynt

FEBRUARY 25, 2019

Unfortunately, in the rush to secure market share the Internet of Things (IoT) and its commercial equivalent, the Industrial Internet of Things (IIoT), suffered from insufficient security. To put this in context, Mozilla’s 2018 Internet Health Report predicted that up to 30 billion IoT devices will be activated by 2020. billion, a 37.2

Software Review 28

Software Review Technical Review Artificial Inteligence IoT 28

The Crazy Programmer

DECEMBER 20, 2019

is the blockchain of food that uses the Internet of Things (IoT) and Blockchain technology in the food supply chain. The software provides services including tracking and visibility of supply chain, aggregation and sharing of secure data, trust verification, and brand quality; IoT integration; sensors; and scalable blockchain.

Technical Review 46

Technical Review Blockchain Software Review IoT 46

Xicom

MAY 6, 2020

Even effective interaction by means of chatbots is projected to accelerate from 20% in 2017 to 93% by 2022. Very often such apps are connected to Machine Learning interfaces from Google, Microsoft, Amazon. The possibilities of the IoT universe is infinite. So, why not to build one for your business? Internet Of Things.

Trends 64

Trends Development Mobile Artificial Inteligence 64

Apiumhub

SEPTEMBER 18, 2019

Despite its traditional image, agriculture is adopting new technological innovations and leveraging the cloud, big data, and the Internet of Things (IoT) solutions to increase productivity while protecting our environment. from 2017 to 2022. IoT-based sensor networks. Data is at the heart of this technique. Phase tracking.

Innovation 15

Innovation Artificial Inteligence Artificial Intelligence IoT 15

Existek

JANUARY 11, 2022

Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. They focus much attention on advancing user experiences utilizing AI, robotics, machine learning, IoT, etc. . Machine learning. Business apps.

Azure 52

Azure AWS Cloud How To 52