CIO

DECEMBER 30, 2024

From artificial intelligence to blockchain and smart cities, the UAEs tech landscape is set to host some of the most significant gatherings of innovators, investors, and entrepreneurs in the region.

Artificial Inteligence 88

Artificial Inteligence Blockchain Artificial Intelligence Healthcare 88

CTOvision

JULY 15, 2019

Read why Marta Robertson says that the Internet of Things needs machine learning to thrive on IoT for All : There’s an unceasing buzz around big data and AI, the opportunities and threats of these technologies and concerns about their future.

Machine Learning 110

Machine Learning Artificial Inteligence IoT Big Data 110

Hacker Earth Developers Blog

MARCH 5, 2019

The Internet of Things (IoT) is a system of interrelated devices that have unique identifiers and can autonomously transfer data over a network. IHS Technology predicts that there will be over 30 billion IoT devices in use by 2020 and over 75 billion by 2025. Real-world applications of IoT can be found in several sectors: 1.

IoT 283

IoT Internet Applications Innovation 283

Openxcell

MARCH 30, 2023

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. What is IoT or Internet of Things? What is Machine Learning?

Artificial Inteligence 98

Artificial Inteligence Machine Learning IoT Internet 98

CIO

OCTOBER 18, 2023

German healthcare company Fresenius Medical Care, which specializes in providing kidney dialysis services, is using a combination of near real-time IoT data and clinical data to predict one of the most common complications of the procedure.

Artificial Inteligence 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

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 181

Big Data Data Storage Azure 181

Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. MLOps lies at the confluence of ML, data engineering, and DevOps. More time for development of new models.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

CIO

NOVEMBER 11, 2024

As industries worldwide are transformed by the rapid rise of artificial intelligence (AI), the 18th edition of the IDC Middle East CIO Summit will set the stage for an exciting new chapter in business innovation. World-renowned speakers, including futurist and AI ethicist H.E.

Artificial Inteligence 78

Artificial Inteligence Artificial Intelligence IoT Generative AI 78

AWS Machine Learning - AI

OCTOBER 31, 2024

The solution integrates large language models (LLMs) with your organization’s data and provides an intelligent chat assistant that understands conversation context and provides relevant, interactive responses directly within the Google Chat interface.

Generative AI 120

Generative AI Lambda Applications AWS 120

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.

Artificial Inteligence 246

Artificial Inteligence Engineering Technical Review Data 246

AWS Machine Learning - AI

MARCH 5, 2025

These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques. To learn more about FMEval, see Evaluate large language models for quality and responsibility of LLMs.

Generative AI 75

Generative AI Systems Review Software Review Artificial Inteligence 75

OTS Solutions

OCTOBER 10, 2023

also known as the Fourth Industrial Revolution, refers to the current trend of automation and data exchange in manufacturing technologies. It encompasses technologies such as the Internet of Things (IoT), artificial intelligence (AI), cloud computing , and big data analytics & insights to optimize the entire production process.

Artificial Inteligence 147

Artificial Inteligence Mobile Industry Cloud 147

CIO

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Innovation 153

Innovation Artificial Inteligence Data Serverless 153

Daffodil Software

AUGUST 11, 2021

The Internet of Things (IoT) is a technological framework that is being adopted in myriad industries at a fierce rate. There has been continuous innovation in this field of technology as it converges with various technology stacks associated with Big Data and Artificial Intelligence.

IoT 98

IoT Scalability Artificial Inteligence Artificial Intelligence 98

Altexsoft

MAY 20, 2020

For the most part, they belong to the Internet of Things (IoT), or gadgets capable of communicating and sharing data without human interaction. The number of active IoT connections is expected to double by 2025, jumping from the current 9.9 Source: IoT Analytics. IoT architecture layers. How an IoT system works.

IoT 141

IoT Azure AWS Transportation 141

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 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

CTOvision

AUGUST 13, 2016

For an August 2016 update on how things are going see the video at this link and below: The power of the AWS cloud is now driving continuous advancements in Analytics, Artificial Intelligence and IoT. In IoT, Amazon is providing a means to control and configure IoT devices with easy to use graphical interfaces.

Artificial Inteligence 64

Artificial Inteligence Artificial Intelligence IoT AWS 64

CIO

JANUARY 13, 2023

Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. In my view, there are two key interrelated developments that can shift the cybersecurity paradigm. They are: Innovations in automation.

Security 218

Security Innovation Artificial Inteligence Weak Development Team 218

CTOvision

FEBRUARY 4, 2016

In much the same way businesses have been eager to use big data analytics to improve their operations, many companies have paid a lot of interest to the growing field of machine learning. Unlike some other tech trends that have come and gone, machine learning appears to be more than just some fad.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Big Data IoT 72

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

JANUARY 20, 2023

Topping the list of executive priorities for 2023—a year heralded by escalating economic woes and climate risks—is the need for data driven insights to propel efficiency, resiliency, and other key initiatives. Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need.

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. These technologies allow mobile apps to learn and adapt to specific equipment conditions, further reducing the risk of equipment failures.

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

TechCrunch

SEPTEMBER 29, 2021

There are increasing numbers of FaaS (farming as a service) startups that are looking to help farmers manage crop yields and plug into IoT sensors or data such as weather platforms. Gradually, the field of agtech is attempting to address this issue.

Sustainability 205

Sustainability Machine Learning Artificial Inteligence Open Source 205

OTS Solutions

DECEMBER 12, 2023

Overview of AI in the Manufacturing Industry AI technologies, such as machine learning and robotic process automation, can enhance manufacturing operations by increasing efficiency, improving quality control, and reducing costs. AI-powered robots can perform repetitive and dangerous tasks, minimizing human intervention.

Artificial Inteligence 130

Artificial Inteligence Industry Artificial Intelligence Machine Learning 130

CIO

MAY 16, 2024

But Parameswaran aims to parlay his expertise in analytics and AI to enact real-time inventory management and deploy IoT technologies such as sensors and trackers on industrial automation equipment and delivery trucks to accelerate procurement, inventory management, packaging, and delivery.

Artificial Inteligence 156

Artificial Inteligence IoT Transportation Analytics 156

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

Cloudera

AUGUST 28, 2020

The real opportunity for 5G however is going to be on the B2B side, IoT and mission-critical applications will benefit hugely. What that means is that this creates new revenue opportunities through IoT case uses and new services. This is the next big opportunity for telcos. 5G and IoT are going to drive an explosion in data.

IoT 110

IoT Industry Machine Learning Artificial Inteligence 110

CIO

JULY 1, 2024

Già oggi, con l’avvento dell’Internet of Things (IoT), molte applicazioni che precedentemente erano ospitate sul cloud si stanno spostando verso l’edge, dove i dati vengono elaborati e gestiti localmente dai server vicino alla fonte del dato stesso. Ma non lo sostituirà, perché i due paradigmi hanno due posizionamenti diversi”.

Artificial Inteligence 154

Artificial Inteligence Cloud Trends Data Center 154

TechCrunch

JUNE 25, 2021

That whole model is breaking down.” He acknowledges that traditional big data warehousing works quite well for business intelligence and analytics use cases. But that’s not real-time and also involves moving a lot of data from where it’s generated to a centralized warehouse.

Machine Learning 210

Machine Learning Artificial Inteligence Big Data Business Intelligence 210

Xicom

JUNE 10, 2019

You already have special kinds of locking system been used on your phones that involve Artificial Intelligence based face recognition. Hence we can expect that Artificial Intelligence has come to a stage when it will start affecting much of our daily lives. Thus the Future of artificial intelligence looks very bright.

Artificial Inteligence 74

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 74

CIO

MAY 7, 2024

At the same time, Artificial Intelligence (AI) is quickly becoming recognised as a keystone for future growth. Foundry’s 2024 CIO Tech Priorities study found 70% of organizations are actively researching or piloting AI-enabled technologies, while 21% have it already in use or are even upgrading and refining their models.

Innovation 195

Innovation Artificial Inteligence Artificial Intelligence Banking 195

N2Growth Blog

AUGUST 15, 2024

Today’s CTOs are at the forefront of harnessing cutting-edge innovations like Artificial Intelligence (AI), machine learning, Internet of Things (IoT), and blockchain. Their expertise is crucial in identifying how these advancements can enhance operations, drive growth, and elevate customer experiences.

CTO 138

CTO Technology Artificial Inteligence Artificial Intelligence 138

CIO

FEBRUARY 22, 2024

Since its creation over five years ago, the Digital Hub has included a team of experts in innovation, technologies, and trends — such as IoT, big data, AI, drones, 3D printing, or advances in customer experience — who work in concert with other business units to identify and execute new opportunities.

Artificial Inteligence 158

Artificial Inteligence IoT Technical Review Artificial Intelligence 158

Altexsoft

JANUARY 11, 2019

So, let’s analyze the data science and artificial intelligence accomplishments and events of the past year. Machine learning and data science advisor Oleksandr Khryplyvenko notes that 2018 wasn’t as full of memorable breakthroughs for the industry, unlike previous years. Highlights of 2018 in brief.

Artificial Inteligence 94

Artificial Inteligence Artificial Intelligence Trends Data 94

TechFides Blog

APRIL 1, 2025

Automation and artificial intelligence (AI) play a crucial role in optimizing manufacturing processes, inventory management, and supply chain logistics. Real-Time Data Powers Smarter Decisions Access to real-time information has transformed decision-making.

Sustainability 40

Sustainability Technology Enterprise Artificial Inteligence 40

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.

IoT 20

IoT Internet Weak Development Team Scalability 20

CIO

FEBRUARY 14, 2023

Investments in artificial intelligence are helping businesses to reduce costs, better serve customers, and gain competitive advantage in rapidly evolving markets. Here, I’ll focus on why these three elements and capabilities are fundamental building blocks of a data ecosystem that can support real-time AI.

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174