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. A word on small data and embedded analytics.

IoT 125

IoT Big Data Machine Learning Artificial Inteligence 125

Cloudera

SEPTEMBER 18, 2020

In Part Two they will look at how businesses in both sectors can move to stabilize their respective supply chains and use real-time streaming data, analytics, and machine learning to increase operational efficiency and better manage disruption. The 6 key takeaways from this blog are below: 6 key takeaways. Michael Ger: .

Retail 87

Retail Weak Development Team Machine Learning Artificial Inteligence 87

Trigent

MARCH 10, 2023

In addition, as a part of sustainability initiatives, at least half of leading supply chains are expected to achieve net-zero carbon emissions through green initiatives and circular economy practices by 2030. Furthermore, advanced analytics can help to accelerate logistics competencies. Trigent Software Inc.

Artificial Inteligence 52

Artificial Inteligence Transportation Analytics Sustainability 52

Capgemini

JANUARY 8, 2020

The net effect is that Tesla must work much harder than other manufacturers to survive while building affordable, sustainable products.”. While we have made great progress, our products are still too expensive for most people,” he warned. In short, they provide a deep and comprehensive view of what is happening in a manufacturing facility.

Technology 52

Technology Automotive IoT Machine Learning 52

Mobilunity

MAY 8, 2023

Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Here collected data from databases, logs, IoT devices, social media, and other sources. Analytics Data lake design services can provide tools for data analysts and data scientists.

Engineering 52

Engineering Data Storage AWS 52

G2 Crowd Software

MARCH 20, 2018

anytime soon, but machine learning and deep learning are gaining a large amount of traction, and are becoming borderline essential in the business world. For most people, these terms are alienating because many people don’t have an understanding of what machine learning and deep learning are.

Artificial Inteligence 98

Artificial Inteligence Machine Learning Artificial Intelligence .Net 98

Cloudera

SEPTEMBER 25, 2018

At Strata Data , it appeared that artificial intelligence, machine learning, and the promise of game-changing insights from big data were at the forefront of everyone’s mind. With that, we would like to take this opportunity to once again, congratulate the winners of Cloudera Partner Awards: Best Solutions Awards.

Artificial Inteligence 44

Artificial Inteligence Machine Learning Artificial Intelligence Data 44

Altexsoft

APRIL 13, 2021

To compete, insurance companies revolutionize the industry using AI, IoT, and big data. Customer satisfaction score (CSAT) and Net Promoter Score (NPS) are the most important metrics for any insurance company. Smart claim triaging using predictive analytics. Here’s where predictive analytics can come in handy.

Artificial Inteligence 87

Artificial Inteligence Machine Learning Insurance Technical Review 87

Kaseya

MAY 13, 2021

As one of Amazon’s strongest revenue segments, AWS generated a whopping 45$ billion in net sales in 2020. Analytics and Intelligence Capabilities. Also, it might be interesting to note that Azure is the only cloud platform that offers unique capabilities like cognitive APIs, bots, machine learning and Blockchain-as-a-Service (BaaS).

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Mobilunity

MAY 26, 2021

The demand for specialists in this sphere might be even higher than the number of companies that want to hire IoT developer. Together with a machine learning engineer , it is one of the most requested professions in the IT industry. RPA implementation services are growing in demand every year. rate up to 2028.

Development 52

Development Analysis IoT Architecture 52

Mobilunity

DECEMBER 28, 2022

Machine Learning is a rapidly-growing field that is revolutionizing the way businesses work and collect data. The process of machine learning involves teaching computers to learn from data without being explicitly programmed. The Services That Machine Learning Engineers Can Offer. Deep learning.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Engineering How To 52

CIO

AUGUST 16, 2022

Elaborating on some points from my previous post on building innovation ecosystems, here’s a look at how digital twins , which serve as a bridge between the physical and digital domains, rely on historical and real-time data, as well as machine learning models, to provide a virtual representation of physical objects, processes, and systems.

Infrastructure 363

Infrastructure Industry 3D VR 363

CIO

AUGUST 28, 2023

Since the Paris Agreement was signed in 2015, businesses have been taking part to contribute in pursuing net zero and achieve emission reduction targets. The Internet of Things (IoT) – sensors and other technologies attached to objects – advanced analytics, and machine learning (ML) would all be applied to capture data.

Sustainability 298

Sustainability 3D .Net IoT 298

Mobilunity

MAY 20, 2021

There are 175 different services available, and it also incorporates AI, machine learning, and 5G. The system is known for great data analysis tools, AI, machine learning, scalability, existing third-party services, and pre-made solutions. It is secure and credible, with machine learning and data science.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Mobilunity

JUNE 5, 2023

Data Analytics: Analyze data to improve traffic flow and provide personalized services. They include designing and implementing connectivity protocols, developing vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication systems, and integrating data analytics for intelligent transportation systems.

Automotive 52

Automotive Software Development Software Artificial Inteligence 52

Apiumhub

SEPTEMBER 20, 2023

From software architecture to artificial intelligence and machine learning, ​​these conferences offer unparalleled insights, networking opportunities, and a glimpse into the future of technology. Learn more about the speakers and check out their schedule by visiting their site here. Interested in attending?

Conference 95

Conference Artificial Inteligence UI/UX Machine Learning 95

Kentik

MARCH 9, 2023

network operators and engineers cast as wide a net as possible to source their telemetry. What is the Internet of Things (IoT)? IoT is about more than just thermostats that can connect to WiFi. With so many network boundaries being navigated (application, service, cloud providers, subnets, SD-WANs , etc.),

Network 97

Network WAN Artificial Inteligence IoT 97

Cloudera

SEPTEMBER 6, 2022

It is an edge-to-AI suite of capabilities, including edge analytics, data staging, data quality control, data visualization tools, and machine learning. The capabilities to better utilize and analyze performance data have increased MTN’s cell coverage and its net promoter score while decreasing customer turnover and drop calls.

Telecommunications 87

Telecommunications Architecture Data Government 87

Confluent

OCTOBER 10, 2019

The Internet of Things (IoT) is getting more and more traction as valuable use cases come to light. A key challenge, however, is integrating devices and machines to process the data in real time and at scale. Confluent MQTT Proxy , which ingests data from IoT devices without needing a MQTT broker. Example: Severstal.

IoT 20

IoT Internet Weak Development Team Scalability 20

Cloudera

NOVEMBER 4, 2020

Accenture estimates only 31% of insurers are harnessing data and applying analytics to drive customer experiences. For instance: One of the earlier use cases of IOT data was in people protection, where sensors track workers in industrial or manufacturing workplaces such as oil platforms to monitor their location and ensure their safety.

Insurance 118

Insurance Machine Learning Artificial Inteligence Technical Review 118

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

Altexsoft

AUGUST 13, 2020

Data analytics is one of the key directions for digital transformation in various industries, travel included. Each of these modules can also serve as a source of data, whether it is website analytics, supply management systems, or housekeeping. Revenue management analytical dashboard. Hotel Property Management System modules.

Business Intelligence 59

Business Intelligence Hotels Technical Review Technology 59

Mobilunity

JULY 5, 2021

It supports open-source software and uses machine learning. It is known for security and credibility, as well as excellent machine learning and data science functions. It has a multitude of integrated solutions, offers security, analytics, and IoT features. Google Cloud Managed Services.

Cloud 52

Cloud Comparison Azure AWS 52

Confluent

FEBRUARY 13, 2019

Core function: Building the event streaming model for item bid activity and analytics. An example might be an IoT device, transaction-id or some other natural key. There are a myriad of clients (producer and consumer) in languages from Java, Scala, Python, Node,NET, Python and Golang. Do I need to use a microservices framework?

Architecture 88

Architecture Programming Microservices Serverless 88

Altexsoft

SEPTEMBER 19, 2019

Data sources may be internal (databases, CRM, ERP, CMS, tools like Google Analytics or Excel) or external (order confirmation from suppliers, reviews from social media sites, public dataset repositories, etc.). These BI platforms include ETL and data storage services, along with analytics and reporting with visuals. Data sourcing.

Business Intelligence 13

Business Intelligence Tools Data Azure 13