ARCHIVE FOR THE ‘machine-learning’ CATEGORY

AI-powered smart video solution can intelligently capture and classify video according to the severity of driving events.

Verizon Connect Integrated Video uses artificial intelligence (AI) to intelligently capture and automatically classify video according to how severe an event is, showing only what is relevant and important to business owners and operations managers, as well as machine learning to help businesses improve driver behaviour and protect the bottom line. Verizon Connect Integrated Video also provides real data insights to help commercial drivers stay safe on the road and protect them against false claims.

Additional features include a speed Overlay, which enables operations managers to easily view the speed of the vehicle directly within the video clip to determine if speed is the factor that caused the event; and Video on Demand, which allows operations managers to request 40-second increments of available footage.

"Delivering our commitment to customers means creating innovative solutions, powered by the latest technology that helps our customers move their business forward,” said Derek Bryan, vice president EMEA, Verizon Connect. “We’re delivering next-level solutions, powered by advanced AI and machine learning to help our customers be safe, productive and efficient all over the world.

 

In the Big Discussion we bring together a panel of industry experts and focus on one key topic within the field service sector. In the second of a four part series on AI our panellists, FieldAware's Mark Tatarsky and ServiceMax's Amit Jain, define the difference between Artificial Intelligence and Machine Learning.

Earlier this summer we introduced you to three companies that we felt were set up to bring some significant value to the field service sector. Now as we look forward to 2020 here are three more companies that could potentially help drive your field service business forwards..

Is Machine Learning the future of service? SAP's Manuel Grenacher thinks it could be...

Kris Oldland, Editor-in-Chief, Field Service News hosts with Gopinathan Krishnaswami, Senior General Manager, Global Head, Infrastructure Alliances at Tata Consultancy Services as his guest as the two dive into the importance of data in field service including how much data is too much data and the importance of Machine Learning in getting actual insight out of the deluge of data you may be drowning in. 

Ours is an industry that has always had collaboration at its heart, but today we need to be thinkjing more and more about how humans can be collaborating with Artificial Intelligence and one another. Titos Anastassacos, Managing Partner at Si2 Partners, explains more...

In the latest Field Service Podcast, Tilak Kasturi discusses the importance of a proof of concept in AI and machine learning enterprise.

 

Tilak Kasturi is the CEO and Founder of Predii, an AI software company whose platform enables predictive repair and maintenance for complex equipment.

We got Tilak on to the Field Service Podcast to discuss the origins of Predii, the importance of proof of concept and how his time in radiation oncology big-data is shaping his current project.

Artificial Intelligence and Machine Learning firm will work with B2B renewable electricity supplier.

By utilising the latest Artificial Intelligence (AI) and Machine Learning (ML) tools from AI innovators, Inawisdom and Amazon Web Services (AWS), Drax Group has transformed its data insight and customer intelligence to personalise the services it provides to its customers, through its B2B energy supply businesses Opus Energy and Haven Power.

As a leading light in the renewable energy market, Drax Group is passionate about providing innovative and sustainable solutions for customers and has a mission to enable a zero carbon, lower cost energy future. As part of this initiative, Drax wants to identify any anomalies in energy usage, to help demonstrate to customers that it really understands how they’re using their electricity. Drax Group partnered with Inawisdom to deploy state-of-the-art Artificial Intelligence across its data and has since been able to provide a much higher standard of customer service.

“Our relationship with Drax Group has been a success story from the start,” said Neil Miles,CEO and co-founder of Inawisdom. “The utility sector is one of our core industries where AI and ML is proving a powerful instrument. Together with AWS, we were able to use our rapid deployment model to quickly find the real value in the data Drax held and help it to achieve goals effectively and efficiently”.

“Our partnership with Inawisdom and AWS has enabled us to draw insight and intelligence from our data, which was previously too complex to see,” reported Bjoern Reinke, Smart Director from Drax Group. “We can now immediately identify unusual usage and respond accordingly, providing many benefits for our customers and in turn Drax Group’s B2B supply businesses. The speed this capability has been provided is a revelation”.

Machine learning and threat intelligence capabilities in SIEM solutions will augment the productivity of security analysts, finds Frost & Sullivan.

Security Information and Event Management (SIEM) vendors have begun to inject greater versatility into their platforms as well as incorporate new security functionalities and analyst-friendly dashboards. Also, managed SIEM providers are offering cloud-hosted SIEM solutions to lower the per customer cost-to-serve to penetrate the SMB market.

These advances will drive the $1.98 billion global SIEM market toward $3.23 billion by 2023. "SIEM 3.0, with its high degree of automated response and remediation, can detect malicious threats attempting to penetrate the environment and automatically perform actions to thwart attackers’ advances,” said Mauricio Chede, Senior Industry Analyst, Digital Transformation. "The integration of several functionalities, such as user & entity behavior analytics (UEBA), security operation and automation response (SOAR), and forensic analysis, is essential to effectively compete in the SIEM market."

Frost & Sullivan’s recent analysis, Security Information and Event Management (SIEM)—Global Market Analysis, Forecast to 2023, examines the market drivers, restraints, and market distribution channels of the SIEM market. It presents revenue forecasts and key findings to help participants make the most of the market potential. The study covers the four product types of physical appliance, virtual appliance, software, and Software-as-a-Service (SaaS).

You can read the full report here.