Openxcell

SEPTEMBER 13, 2020

Impact of IoT and ML: IoT and Machine Learning were mere technologies that people heard emerging to simplify people’s life. In the recent rise of the popularity of these technologies, IoT or ML has an easy way out for every possible task. . How are IoT and Machine Learning Changing Everyone’s Lives?

Machine Learning 52

Machine Learning Artificial Inteligence IoT Transportation 52

TechCrunch

SEPTEMBER 13, 2022

In recent years, a cottage industry has sprung up around the industrial internet of things (IoT) landscape — and the data generated by it. Despite the crowdedness in the industrial IoT sector, Vatsal Shah argues that there’s room for one more competitor. This is something Litmus specializes in.” billion in 2020.

IoT 202

IoT Industry Machine Learning Artificial Inteligence 202

CIO

MARCH 6, 2024

continues to roll out, the internet of things (IoT) is expanding, and manufacturing organizations are using the latest technologies to scale. Marrying machine learning with crowdsourced telemetry and passive identification technology enables organizations to rapidly assess and score risk for everything and everyone that you can now see.

IoT 301

IoT Machine Learning Artificial Inteligence Policies 301

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. What is the most exciting part for him? “To

Artificial Inteligence 209

Artificial Inteligence IoT Transportation Analytics 209

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. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Sunflower Lab

JUNE 8, 2023

Intelligent Healthcare Solutions for Remote Treatment Modoscript partnered with Sunflower Lab to improve the remote health monitoring of chronically ill patients through IoT. From this analysis behavior patterns and preferences can be generated and machine learning models can be further streamlined.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Generative AI Machine Learning 52

CIO

DECEMBER 28, 2023

Either way, the result was that many IT leaders had to support some sort of enterprise transformation in work policies. Procter & Gamble launched an internal LLM-based chatbot to boost productivity and innovation, calling it chatPG. New technology enabled new solutions 2023 was also a year of new solutions.

Artificial Inteligence 306

Artificial Inteligence ChatGPT Generative AI Machine Learning 306

OTS Solutions

OCTOBER 10, 2023

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. include the Internet of Things (IoT) solutions , Big Data Analytics, Artificial Intelligence (AI), and Cyber-Physical Systems (CPS).

Artificial Inteligence 147

Artificial Inteligence Mobile Industry Cloud 147

The Crazy Programmer

OCTOBER 22, 2020

But more devices attached to the internet means more security vulnerabilities — which means a big surge in cyberattacks on IoT devices. Artificial Intelligence and Machine Learning. Machine learning is already an integral part of software development and use. Cloud Development. The Future.

Programming 361

Programming Artificial Inteligence Machine Learning Big Data 361

N2Growth Blog

JUNE 6, 2024

Key technologies in this digital landscape include artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), blockchain, and augmented and virtual reality (AR/VR), among others. Blockchain technology, AI, IoT, and cloud computing are leading examples driving the disruptive movement.

Artificial Inteligence 100

Artificial Inteligence Technical Review Strategic Planning Artificial Intelligence 100

Altexsoft

MARCH 30, 2020

Major cons: the need for organizational changes, large investments in hardware, software, expertise, and staff training. the fourth industrial revolution driven by automation, machine learning, real-time data, and interconnectivity. Similar to preventive maintenance, PdM is a proactive approach to servicing of machines.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

TechCrunch

FEBRUARY 17, 2021

TigerGraph , a well-funded enterprise startup that provides a graph database and analytics platform, today announced that it has raised a $105 million Series C funding round. Its customers use the technology for a wide variety of use cases, including fraud detection, customer 360, IoT, AI and machine learning. ”

Enterprise 217

Enterprise Artificial Inteligence Machine Learning Analytics 217

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. AI is the perception, synthesis, and inference of information by machines, to accomplish tasks that historically have required human intelligence.

Artificial Inteligence 276

Artificial Inteligence Strategy Data Machine Learning 276

CIO

NOVEMBER 23, 2022

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Another main priority with EA is agility and ensuring that your EA strategy has a strong focus on agility and agile adoption.

Architecture 306

Architecture Enterprise Agile Artificial Inteligence 306

CIO

APRIL 30, 2024

Enterprises are moving computing resources closer to where data is created, making edge locations ideal for not only collecting and aggregating local data but also for consuming it as input for generative processes. Great innovation begins with great data; learn more about how you can capitalize on your edge. over 2023 2.

Artificial Inteligence 231

Artificial Inteligence Storage Artificial Intelligence Retail 231

Cloudera

OCTOBER 13, 2021

Imagine if you had to explain what machine learning is and how to use it. Cloudera produced a series of ebooks — Production Machine Learning For Dummies , Apache NiFi For Dummies , and Apache Flink For Dummies (coming soon) — to help simplify even the most complex tech topics. There’s no need to panic.

Machine Learning 75

Machine Learning Artificial Inteligence Data IoT 75

TIBCO - Connected Intelligence

JULY 16, 2020

In our continuing commitment to accelerate digital business transformation through the use of artificial intelligence (AI) and machine learning (ML), TIBCO unveiled the capabilities of TIBCO Spotfire ® and TIBCO ® Data Science to support Microsoft Azure Cognitive Services at a recent Build conference.

Artificial Inteligence 49

Artificial Inteligence Machine Learning IoT Internet 49

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

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 Machine Learning Artificial Inteligence Blockchain 130

Tenable

MARCH 22, 2024

This can be a roadblock for organizations otherwise eager to deploy AI and machine learning tools. The paper will equip engineers and business personnel with the knowledge to understand the changing Cloud Native Artificial Intelligence (CNAI) ecosystem and its opportunities,” the document reads.

Artificial Inteligence 122

Artificial Inteligence Cloud Technical Review Generative AI 122

CIO

DECEMBER 13, 2023

For example, generative AI models are especially adept at making sense of diverse, unstructured datasets to create realistic content, enhance data for machine learning training, simulate and model complex scenarios and environments, and personalize algorithms for targeted marketing and product recommendations.

Generative AI 237

Generative AI Data Artificial Inteligence Video 237

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 330

Security Innovation Artificial Inteligence Weak Development Team 330

CIO

SEPTEMBER 8, 2022

Machine learning (ML) is a commonly used term across nearly every sector of IT today. This article will share reasons why ML has risen to such importance in cybersecurity, share some of the challenges of this particular application of the technology and describe the future that machine learning enables.

Machine Learning 343

Machine Learning Artificial Inteligence CTO Malware 343

AWS Machine Learning - AI

FEBRUARY 29, 2024

Knowledge Bases is completely serverless, so you don’t need to manage any infrastructure, and when using Knowledge Bases, you’re only charged for the models, vector databases and storage you use. RAG is a popular technique that combines the use of private data with large language models (LLMs).

Knowledge Base 105

Knowledge Base Artificial Inteligence Generative AI AWS 105

DataRobot

MARCH 10, 2022

DataRobot and Snowflake Jointly Unleash Human and Machine Intelligence Across the Industrial Enterprise Landscape. This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). High-level example of a common machine learning lifecycle.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

Palo Alto Networks

SEPTEMBER 2, 2020

The Challenge Behind Implementing Zero Trust for IoT Devices. Now let’s talk about IoT devices in a similar yet somewhat divergent context. When it comes to unmanaged IoT devices tethered to an organization’s network, most enterprises find it difficult to adhere to standard Zero Trust principles. or Single-Sign-On. .

IoT 96

IoT Firewall Machine Learning Artificial Inteligence 96

iTexico

OCTOBER 11, 2019

10 Trends of Artificial Intelligence (AI) in 2020. Artificial Intelligence (AI) has been predictable for decades, probably because the technology was associated with robots. Now, every enterprise, irrespective of their size or industry type, wants in on this promising technology.

Artificial Inteligence 67

Artificial Inteligence Artificial Intelligence Trends Machine Learning 67

OTS Solutions

JULY 18, 2023

In today’s digital age, the success of any enterprise is increasingly dependent on its ability to deliver high-quality software products and services quickly and efficiently. To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

Palo Alto Networks

AUGUST 13, 2020

Today’s enterprises are moving at great speed towards transformation, and the definition of their network is constantly changing—with hybrid clouds, IoT devices, and now home offices. Instead, they must adopt intelligent, proactive network security powered by machine learning—one that invokes a radical mind shift in cybersecurity.

IoT 95

IoT Firewall Machine Learning Artificial Inteligence 95

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. But humans are not meant to be mined.”

Artificial Inteligence 246

Artificial Inteligence Technical Review Engineering Data 246

Palo Alto Networks

FEBRUARY 25, 2024

It’s no secret that we’re experiencing a transformational moment in history, characterized by the convergence of artificial intelligence (AI), machine learning (ML) and cloud-native paradigms along with the emergence of 5G. This is why we’re so excited about the growing enterprise adoption of private 5G networks.

Artificial Inteligence 134

Artificial Inteligence IoT Network LAN 134

O'Reilly Media - Ideas

JUNE 4, 2024

OpenAI has released a draft proposal for Model Specs , which provide a way to specify the desired behavior for a model. Model specifications look like an interesting supplement to—though not a replacement for— model cards. KnowHalu is a new framework for detecting hallucinations in large language model output.

Artificial Inteligence 97

Artificial Inteligence Trends 3D Software Review 97

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. 5G and IoT are going to drive an explosion in data. This is the next big opportunity for telcos.

IoT 110

IoT Industry Machine Learning Artificial Inteligence 110

CIO

JANUARY 26, 2024

Mike Amend, Ford’s chief enterprise technology officer, was once CTO for Dell’s global online business. Ford is unique among large automotive manufacturers in its selection of GCP, which Dave McCarthy, research vice president of cloud and edge services at IDC, says provides Ford a strong foundation for data-driven operations.

Business Transformation 281

Business Transformation Cloud Automotive IoT 281

Palo Alto Networks

MARCH 10, 2020

The enterprise internet of things (IoT) is rapidly growing, paving the way for innovative new approaches and services in all industries, such as healthcare and manufacturing. million IoT devices in thousands of physical locations across enterprise IT and healthcare organizations in the United States.

IoT 62

IoT Enterprise Firewall Healthcare 62

CIO

JUNE 5, 2023

Unified Experiences The antidote to spiraling operations complexity for enterprise networks is radical simplicity. They are connected industrial and Internet of Things (IoT) experiences that drive optimization of operational productivity and flexibility without compromising security. What is a unified experience?

Network 190

Network Artificial Inteligence Energy Artificial Intelligence 190

O'Reilly Media - Data

OCTOBER 31, 2019

Theodore Summe offers a glimpse into how Twitter employs machine learning throughout its product. Megan Kacholia explains how Google’s latest innovations provide an ecosystem of tools for developers, enterprises, and researchers who want to build scalable ML-powered applications.

Machine Learning 198

Machine Learning Artificial Inteligence IoT Open Source 198