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

NOVEMBER 14, 2021

We were focused all the way back then on what we now call the Internet of Things (IoT). And so, instead of having uniform, machine-oriented data, we got a massive increase in the variety of data and data types and a decrease in data governance. What becomes the role of governments and of well-meaning legislation?

Industry 335

Industry Artificial Inteligence Data Artificial Intelligence 335

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

CIO

DECEMBER 3, 2024

With AI or machine learning playing larger and larger roles in cybersecurity, manual threat detection is no longer a viable option due to the volume of data,” he says. Vincalek agrees manual detection is on the wane.

Technical Review 193

Technical Review CTO Coach How To Software Review 193

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

CIO

DECEMBER 30, 2024

Future Investment Initiative (FII) 2025 (Abu Dhabi) | March 10-12, 2025 The Future Investment Initiative (FII) brings together a diverse group of leaders from business, government, and technology to explore the intersection of innovation, investment, and economic growth.

Artificial Inteligence 88

Artificial Inteligence Blockchain Artificial Intelligence Healthcare 88

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. For instance, Delta “owns” or leases 169 gates out of the total 199 gates, making Atlanta the hub for that carrier.

Artificial Inteligence 190

Artificial Inteligence Data Machine Learning Azure 190

The Parallax

JANUARY 16, 2020

It’s a patented , cloud-based machine-learning system dubbed Raydar that connects to the riders’ phone, and takes input from mobile apps, GPS signals, and traffic cameras to inform riders in real time about current road conditions through color-coded, in-helmet LEDs. 5 questions to ask before buying an IOT device.

Company 49

Company IoT Fractional CTO Telecommunications 49

O'Reilly Media - Ideas

FEBRUARY 28, 2019

In a recent post , we described what it would take to build a sustainable machine learning practice. These projects are built and supported by a stable team of engineers, and supported by a management team that understands what machine learning is, why it’s important, and what it’s capable of accomplishing.

Artificial Inteligence 111

Artificial Inteligence Machine Learning Applications Weak Development Team 111

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

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

JULY 27, 2022

Others, like Lime , have started integrating camera-based computer vision systems that rely on AI and machine learning to accurately detect where a rider is. Drover, which was founded in May 2020, closed out a $5.4 million Series A Wednesday. ” But that’s way down the line.

IoT 220

IoT Transportation Artificial Inteligence Mobile 220

TechCrunch

OCTOBER 18, 2021

Xipeng Shen is a professor at North Carolina State University and ACM Distinguished Member, focusing on system software and machine learning research. If adopted by the semiconductor, digital media and IoT industries, it can significantly improve the way we consume, learn and interact with our devices. Xipeng Shen.

Technical Review 219

Technical Review Minimum Viable Product Off-The-Shelf Small Business 219

TechCrunch

DECEMBER 15, 2021

With rising government investment in critical infrastructure and growing cybersecurity regulations in the U.S., Karamba Security raises another $10M for its IoT and automotive security platform. Israeli serial entrepreneur Zohar Zisapel, a member of Cylus’ board, also joined the round. .

Training 247

Training Automotive Transportation Artificial Inteligence 247

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 Artificial Inteligence Machine Learning 125

Palo Alto Networks

MARCH 2, 2025

However, the real breakthrough is in the convergence of technologies that are coming together to supercharge 5G business transformation across our most critical infrastructure, industrial businesses and governments. And its definitely not enough to protect enterprise, government or industrial businesses.

Business Transformation 101

Business Transformation Telecommunications WAN Chemicals 101

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

TechCrunch

JANUARY 25, 2022

If machine learning is shaping up to be one of the more popular (and perhaps most obvious) applications for quantum computing, security is perhaps that theme’s most ominous leitmotif. 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

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

CIO

JANUARY 13, 2023

government. Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. I’ve given this question considerable thought in my role advising many of my former colleagues and other leaders in the U.S. They are: Innovations in automation.

Security 218

Security Innovation Artificial Inteligence Weak Development Team 218

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

TechCrunch

SEPTEMBER 6, 2022

It has three sub-platforms that allow farmers and other stakeholders in the food value chain to access tools for earth observation, remote sensing and data and machine learning to help them better manage crops and harvests. Cropin Cloud can be used by agribusinesses of all sizes. Cropin’s leadership team.

Industry 198

Industry Cloud Company B2B 198

CIO

NOVEMBER 16, 2022

The second is leveraging IoT and AI to support new digital services and new digital products that we can offer our consumers. AI and machine learning are mature today. When you leverage internal data, you need governance around that data. CIO, Data Governance, Digital Transformation, IT Leadership

Leadership 200

Leadership Government Blockchain Strategy 200

TechCrunch

JANUARY 25, 2022

While that may seem a bit random, Alchemist has been spinning up a number of partnerships as part of “ AlchemistX “, wherein Alchemist helps large companies (like NEC, LG and Siemens) and governments run accelerator programs to spin internal R&D efforts into new companies.

Company 219

Company Software Review Systems Review Technical Review 219

CTOvision

JULY 17, 2018

The biggest danger in Smart Cities is the assumption that IoT sensors communicating over a 5G fabric to Machine Learning and Blockchain systems will be safe from cyberattacks. Smart Cities will become a full-scale cyber war battleground unless Congress mandates cybersecurity.

Blockchain 137

Blockchain IoT Artificial Inteligence Machine Learning 137

OTS Solutions

DECEMBER 5, 2019

Furthermore, cloud IT security has government compliance regulations it must stand by. Virtual reality, augmented reality and machine learning are growing too. Actually, online updates are deployed faster than traditional on-premise patches. Encryption enables online patch updating to be accomplished in a safe manner.

Enterprise 42

Enterprise Cloud Data Center Virtualization 42

TechCrunch

AUGUST 23, 2021

It does this by providing incentives to building owners/occupiers to shift to clean energy usage through a machine learning-powered software automation layer. And plenty more are likely to take an interest in the space as governments start to pump more money into accelerating decarbonization. Y Combinator-backed Kapacity.io

Real Estate 243

Real Estate Energy Artificial Inteligence Machine Learning 243

Cloudera

OCTOBER 29, 2020

With the massive explosion of data across the enterprise — both structured and unstructured from existing sources and new innovations such as streaming and IoT — businesses have needed to find creative ways of managing their increasingly complex data lifecycle to speed time to insight. Data sources across the lifecycle.

Data 111

Data Artificial Inteligence Machine Learning Analytics 111

O'Reilly Media - Ideas

JANUARY 8, 2019

In a recent O’Reilly survey , we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. For most companies, the road toward machine learning (ML) involves simpler analytic applications. Sustaining machine learning in an enterprise.

Trends 108

Trends Data Artificial Inteligence Machine Learning 108

CIO

SEPTEMBER 24, 2024

Previously, he had led Ameritas’ efforts in AI, which included using machine learning (ML) to interpret dental x-rays in order to verify coverage. They should have a vision for transforming the organization with AI, and that includes ensuring that AI is used with ethics and governance in mind. Contact us today to learn more.

Weak Development Team 195

Weak Development Team Technical Review Artificial Inteligence Insurance 195

CIO

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. AI is the perception, synthesis, and inference of information by machines, to accomplish tasks that historically have required human intelligence.

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

CIO

DECEMBER 7, 2023

But until recently , gathering accurate and timely data from multiple sources had been challenging for the local island governments because of a lack of equipment, process and format standardization, technology, and human resources. And the key to success is having data that can be analyzed for actionable insights.

Artificial Inteligence 162

Artificial Inteligence Tourism IoT Education 162

Cloudera

AUGUST 4, 2021

In fact, McKinsey points to a 50% reduction in downtime and a 40% reduction in maintenance costs when using IoT and data analytics to predict and prevent breakdowns. Navistar relies on predictive maintenance, which leverages IoT and data analytics to predict and prevent breakdowns of commercial trucks and school buses. “We

IoT 98

IoT Artificial Inteligence Machine Learning Analytics 98

CIO

JULY 31, 2022

But most importantly, without strong connectivity, businesses can’t take advantage of the newest advancements in technology such as hybrid multi-cloud architecture, Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML) and edge micro data centre deployment.

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Artificial Inteligence Strategy Artificial Intelligence Weak Development Team 147

CIO

AUGUST 20, 2024

For these cities, fortifying Internet of Things (IoT) sensor and device vulnerabilities to combat cyberthreats is a key concern. This system would serve as a unifying structure for securely integrating new devices while decoupling sensors, cameras, and other IoT components from applications throughout deployment and lifecycle management.

Artificial Inteligence 183

Artificial Inteligence Sustainability Artificial Intelligence Energy 183

Cloudera

SEPTEMBER 8, 2022

The management of data assets in multiple clouds is introducing new data governance requirements, and it is both useful and instructive to have a view from the TM Forum to help navigate the changes. . What’s new in data governance for telco? for machine learning), and other enterprise policies.

Telecommunications 79

Telecommunications Government Data Data Center 79

Tenable

JANUARY 3, 2025

government can improve financial firms AI use. And get the latest on a Chinese APTs hack of the Treasury Department; the federal governments AI use cases; and cyber tips for SMBs. Facilitate domestic and international collaboration among governments, regulators, and the financial services sector. Plus, how the U.S.

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Artificial Inteligence Banking Artificial Intelligence IoT 116