O'Reilly Media - Ideas

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

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.

Artificial Inteligence 246

Artificial Inteligence Machine Learning IoT Open Source 246

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. No wonder enterprises find it difficult to decipher cloud myths from the facts, especially as it relates to enterprise software development and business application development. Free Consultation.

Enterprise 42

Enterprise Cloud Data Center Virtualization 42

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?

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Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

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.

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Artificial Inteligence IoT Machine Learning Internet 228

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 The number of active IoT connections is expected to double by 2025, jumping from the current 9.9

IoT 141

IoT Azure AWS Transportation 141

Altexsoft

JULY 3, 2019

As we know, the IoT will enable businesses to capture more data for deep analysis while obtaining more granular control over processes. Combined with AI and machine learning, smart automation is an exciting prospect. How could the IoT undermine the security of your business? The Dangers of Compromised IoT Devices.

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IoT Enterprise Software Review Technical Review 98

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.

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Artificial Inteligence Machine Learning Scalability Data Engineering 107

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 193

Architecture Enterprise Agile Artificial Inteligence 193

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 98

IoT Firewall Artificial Inteligence Machine Learning 98

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 98

IoT Firewall Artificial Inteligence Machine Learning 98

Altexsoft

AUGUST 12, 2020

IoT solutions have become a regular part of our lives. From your wrist with a smartwatch to industrial enterprises, connected devices are everywhere. A door automatically opens, a coffee machine starts grounding beans to make a perfect cup of espresso while you receive analytical reports based on fresh data from sensors miles away.

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IoT Architecture Wireless Transportation 140

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.

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IoT Industry Artificial Inteligence Machine Learning 110

Palo Alto Networks

OCTOBER 20, 2021

IoT survey from Palo Alto Networks highlights the need for shared responsibility among remote workers and IT teams to secure their enterprise. IoT Analytics expects that by 2025, there will be more than 30 billion IoT connections, which is almost four IoT devices per person on average. in early 2022.

IoT 98

IoT Survey Network Policies 98

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.

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Insurance Artificial Inteligence Machine Learning Blockchain 130

TechFides Blog

APRIL 1, 2025

Commercial enterprises are increasingly leveraging technology to drive sustainable growth and optimize operations, all while minimizing environmental impact. Advanced technologies such as machine learning and big data analytics facilitate the design of products that consume fewer resources and generate less waste.

Sustainability 40

Sustainability Technology Enterprise Artificial Inteligence 40

CIO

AUGUST 3, 2022

Because of this, redesigning the enterprise for the data economy is the chief remit CEOs have for today’s leading-edge CIOs. . When Cargill started putting IoT sensors into shrimp ponds, then CIO Justin Kershaw realized that the $130 billion agricultural business was becoming a digital business. The cloud.

Leadership 218

Leadership IoT Artificial Inteligence SDLC 218

CIO

AUGUST 9, 2024

At Atlanta’s Hartsfield-Jackson International Airport, an IT pilot has led to a wholesale data journey destined to transform operations at the world’s busiest airport, fueled by machine learning and generative AI. This allows us to excel in this space, and we can see some real-time ROI into those analytic solutions.”

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TechCrunch

JUNE 25, 2021

“Our thesis is that there’s no way that enterprises today can continue to analyze all their data in real time,” said Edge Delta co-founder and CEO Ozan Unlu, who has worked in the observability space for about 15 years already (including at Microsoft and Sumo Logic). Image Credits: Edge Delta. Image Credits: Edge Delta.

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Artificial Inteligence Machine Learning Big Data Business Intelligence 210

CIO

NOVEMBER 7, 2022

CIOs seeking big wins in high business-impacting areas where there’s significant room to improve performance should review their data science, machine learning (ML), and AI projects. Are they ready to transform business processes with machine learning capabilities, or will they slow down investments at the first speed bump?

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Artificial Inteligence Machine Learning Artificial Intelligence Technical Review 193

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.”

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Artificial Inteligence Engineering Technical Review Data 246

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 190

IoT Artificial Inteligence Machine Learning Policies 190

Palo Alto Networks

AUGUST 10, 2020

More recently, we disrupted the market again with our announcement of the world’s first Machine Learning-Powered NGFW. Forrester has named Palo Alto Networks a Leader in its Forrester Wave : Enterprise Firewalls, Q3 2020 report. Read a complimentary copy of The Forrester Wave: Enterprise Firewalls Q3’20.

Firewall 98

Firewall Network Report Enterprise 98

CIO

MAY 8, 2024

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing.

Innovation 153

Innovation Artificial Inteligence Data Serverless 153

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

Palo Alto Networks

MARCH 2, 2025

These networks are not only blazing fast, but they are also adaptive, using machine learning algorithms to continuously analyze network performance, predict traffic and optimize, so they can offer customers the best possible connectivity. And its definitely not enough to protect enterprise, government or industrial businesses.

Business Transformation 97

Business Transformation Telecommunications WAN Chemicals 97

TechCrunch

MARCH 30, 2021

built out a novel technology to collect weather data using wireless network infrastructure and IoT devices. “And the ambition was always to be that largest weather enterprise in the world, the most disruptive, the most industry-defining. . ” Deep Science: Using machine learning to study anatomy, weather and earthquakes.

Wireless 240

Wireless .Net IoT Artificial Inteligence 240

CIO

NOVEMBER 17, 2023

Managed service provider business model Managed service providers structure their business to offer technology services cheaper than what it would cost an enterprise to perform the work itself, at a higher level of quality, and with more flexibility and scalability.

Technical Review 195

Technical Review Artificial Inteligence Systems Review Disaster Recovery 195

Palo Alto Networks

OCTOBER 21, 2024

Powered by Precision AI™ – our proprietary AI system – this solution combines machine learning, deep learning and generative AI to deliver advanced, real-time protection. Machine learning analyzes historical data for accurate threat detection, while deep learning builds predictive models that detect security issues in real time.

Compliance 107

Compliance Virtualization Conference Generative AI 107

TechCrunch

JANUARY 8, 2021

The other one is the WISE-2410, a vibration sensor for monitoring motor-powered mechanical equipment and identifying potential issues so manufacturers can schedule maintenance before machines malfunction, resulting in expensive downtime. Yztek ‘s E+ Autoff is an IoT device created to stop people from forgetting to turn off their stoves.

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Meeting Backup Transportation Video 273

Cloudera

SEPTEMBER 4, 2020

The Future Of The Telco Industry And Impact Of 5G & IoT – Part 3. To continue where we left off, how are ML and IoT influencing the Telecom sector, and how is Cloudera supporting this industry evolution? When it comes to IoT, there are a number of exciting use cases that Cloudera is helping to make possible.

IoT 93

IoT Industry Artificial Inteligence Machine Learning 93

CIO

DECEMBER 1, 2022

The company is also refining its data analytics operations, and it is deploying advanced manufacturing using IoT devices, as well as AI-enhanced robotics. But enterprises are sincerely trying to upskill their employees to retain institutional knowledge necessary to realize the growth a digital transformation is designed to generate, he says.

Analytics 217

Analytics KPI IoT Azure 217

AWS Machine Learning - AI

APRIL 1, 2025

Amazon Bedrock Knowledge Bases Enables seamless access to Amazon Bedrock Knowledge Bases so developers can query enterprise knowledge with natural language, filter results by data source, and use reranking for improved relevance. It makes sure infrastructure as code (IaC) follows AWS Well-Architected principles from the start.

AWS 112

AWS Software Review Knowledge Base Artificial Inteligence 112

AWS Machine Learning - AI

NOVEMBER 1, 2024

Additionally, careful adjustment of hyperparameters such as learning rate multiplier and batch size plays a crucial role in optimizing the model’s adaptation to the target task. The capabilities in Amazon Bedrock for fine-tuning LLMs offer substantial benefits for enterprises.

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Artificial Inteligence Generative AI Training Metrics 86

TechCrunch

JANUARY 25, 2022

Addition, the investment firm founded by Lee Fixel, is leading this round with Oxford Science Enterprises (formerly known as OSI) and Crane also participating. Other sectors it’s working with include automotive OEM, industrial IoT, and technology consulting, it says.).

Technical Review 211

Technical Review Hardware Software Review Artificial Inteligence 211

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.

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Security Innovation Artificial Inteligence Weak Development Team 218