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Dive Deep Into Machine Learning With Over 75 Hours Of Expert Led Training - IGN SOUTH EAST ASIA

SAN FRANCISCO, Sept. 16, 2021 /PRNewswire/ -- MetricStream, the industry leader in supporting the Governance, Risk, and Compliance (GRC) space, and Golden Gate University, announced the successful completion of the first phase of their "DeepEdge" project, using emerging technologies to bring innovation to business solutions.

The project started in 2019 with the goal of letting GGU faculty and graduate students in the MS in Business Analytics and MS in Information Technologies programs partner with MetricStream employees to develop new risk management solutions. The teams set out to use emerging model-based AI augmented with Machine Learning, Elastic Edge Computing, Agile methodologies maturing to DevOps, and Zero-touch Self-Managing service orchestration. The teams have successfully implemented the first application to assess and mitigate risk in enterprise contract management process, resulting in MetricStream adopting it as a part of their product suite.

"Contracts are legally binding agreements," said Vidya Phalke, Chief Technology Evangelist at MetricStream. "Knowing the obligations for every contract, monitoring and assuring compliance is labor-intensive process and error-prone. The DeepEdge project uses model-based AI, machine learning and automation of extracting the knowledge of the obligations for every contract. It integrates with processes already in place and improves monitoring and contract obligation fulfillment at scale. This type of industry-academia collaboration is what is needed to power what is next in the post-pandemic world."

Judith Lee, Business Innovation & Technology department chair, said the project "allowed graduate students and GGU faculty to work jointly with MetricStream to push the boundaries of machine learning and edge computing technologies."

"We chose edge computing for security and data privacy reasons, and the deployment was facilitated by a zero-touch operations environment supported by Platina Systems," said Ross Millerick, program director, MS/IT Management. "It allowed us to remotely access the infrastructure at MetricStream during the Covid pandemic, when our laboratory on campus was not available."

"Bringing together thought leadership in AI that goes beyond deep learning and edge computing allows us to teach our students how to push the boundaries with federated AI and edge computing" said Rao Mikkilineni, distinguished adjunct professor.

The project spanned five terms and a succession of students. The students completed their capstone obligation with the project output with support from MetricStream. The project will continue to drive innovation in various enterprise business processes. Its vision is to build a long-term mutually beneficial partnership between the GGU business school and MetricStream, to inform the surrounding business community about the importance of GRC, and to provide an ongoing local forum for dialogue and education.

Leveraging the power of AI, MetricStream is the global market leader in Governance, Risk, and Compliance and Integrated Risk Management solutions, providing the most comprehensive solutions for Enterprise and Operational Risk, Regulatory Compliance, Internal Audit, IT and Cyber Risk and Third-Party Risk Management on one single integrated platform.

Golden Gate University, a private nonprofit, has been helping adults achieve their professional goals by providing undergraduate and graduate education in accounting, law, taxation, business and related areas since 1901. Programs offer maximum flexibility with evening, weekend and online options. GGU is accredited by the American Bar Association (ABA) and the WASC Senior College and University Commission.

Media Contacts: For MetricStream Amy Rhodes, [emailprotected]; For GGU: Judith Lee [emailprotected],edu,Michael Bazeley, [emailprotected]

SOURCE Golden Gate University

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Golden Gate University and MetricStream Bring Together Machine Learning and Edge Computing to Assess and Mitigate Risk in Enterprise Business...

Artificial Intelligence (AI) and Machine Learning (ML) will change the way we live, and virtual cloud-enabled seamless data connectivity would usher in a digital revolution by 2040, said D. Narayana Rao, Pro-Vice Chancellor of SRM University.

A senior scientist in the field of Atmospheric Science Research and Radar Technology and former Director, National Atmospheric Research Laboratory, Dr. Narayana Rao said that just as the world has seen revolutionary changes between 2000 and 2020, current technologies would become obsolete by the year 2040.

AI and MI are some of the future technologies that are going to shape our lives in the next two decades, Dr. Narayana Rao said during the celebrations of Engineers Day on September 15, held to mark the birth anniversary of Bharat Ratna Mokshagundam Visvesvaraya.

Data and information will be available virtually as air. Everything on the go will take on a literal meaning and the word connect will be meaningless for most of our gadgets. Data will just move seamlessly whether you are in an elevator, car or an aeroplane, he said.

AI and ML will make us believe that the world revolves around us. As we talk, discuss, act, AI will surround us with actions and suggestions and actionable inputs at a wink. AI will resemble Real Intelligence (RI). Driverless and automated intelligent cars will move around by themselves and self-park. Peoples job profiles will change. They will need to work less and most routine and hazardous work will be carried out by robots. Typing on gadgets will be redundant and will be replaced by voice commands, gestures and even thought controls. Natural Language Processing (NLP) will remove the language barriers in trade and travel. NLP will do the translation of spoken language and will ensure a global world, Dr. Narayana Rao said.

Space tourism will turn from fantasy into a reality. Holiday tours to Switzerland, Bali, and Seychelles will be replaced by tours to Venus, Mars and the moon, he said, adding that 3D printing technology will be used to construct buildings, structures and several products within a few hours/days which presently takes months and years to do.

When our country became independent, India was the poorest of the poor countries with a literacy rate of just around 12% and a life expectancy of 32 years. Today, in 70 years, India has become one of the top five economies in the world. What made this remarkable transformation possible was the application of science and technology in building the nation, Dr. Narayana Rao said.

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AI, machine learning will change the way we live - The Hindu

Applications of AI And Machine Learning In Computer Science and Electrical Engineering

Technologically, we are evolving with every passing day. Progress in the field of Artificial intelligence and machine learning has transformed our lives for the better. Today, these magnificent technologies are used to optimize systems and meet the desired organizations goals. AI and machine learning not only boost the performance of the system but also address the problems of the business like never before. Additionally, problems are addressed efficiently and faster than before. All in all, implementing the latest applications of AI and machine learning might end up being a path for achieving greater heights. Computer engineering systems and electrical engineering systems generate huge volumes of data. Thus, we can apply data mining to discover new relationships in these systems. With the advent of deep neural networks thanks to the advancement in technology, we can learn new mappings between inputs and output of these systems. On that note, have a look at some of the greatest applications of AI and machine learning in the field of Computer engineering and electrical engineering that have simplified our lives.

Power systems

One of the best applications of AI when it comes to computer engineering has been on power systems. Right from identifying malfunctions to forecasting, AI has covered it all. Artificial intelligence has done a magnificent job in reducing the workload of human operators by taking up tasks such as data processing, routine maintenance, training, etc.

Application of Artificial intelligence in Electrical Equipment

First things first, we all know how complex the electrical equipment structure is. In reality, it not only needs knowledge pertaining to electronics, circuits, electromagnetic fields, motors, automation, etc. but also the necessity to understand the generators, sensors and other components of the role and mechanism. It is here that AI turns out to be no less than a saviour. Through programming and operation by computer technology, AI can realize the automatic operation of electrical equipment and replace human labour as well, thereby reducing the labour cost to a large extent. Additionally, Artificial intelligence technology greatly improves the speed and precision of the work.

Fault diagnosis

Artificial intelligence can be used in the logic of fuzzy neural network expert systems timely. With this, it is not only possible to accurately detect the faults, but also used to determine the cause of the failure, type and location of thefailure, and timely control of fault repair.

More secure systems

With the help of advanced search algorithms, Artificial intelligence and machine learning, identifying potential threats and data breaches in real-time has become easier than ever. Well, this is not it there is more to this. These advanced technologies also provide the necessary solutions to avoid those issues in the future. Well, there is no denying that when it comes to computer science, data security becomes way more relevant, right?

Server optimization

We all know that hosting servers have millions of inbound requests on a day-to-day basis. However, a point of concern is that due to the continuous flow of queries, some of these servers may end up slowing down and become unresponsive. Well, Artificial intelligence to the rescue it is! AI holds the potential of optimizing the host server and enhancing the operations, thereby boosting customer service.

What everything boils down to is the fact that AI and machine learning are changing many sectors, particularly IT/computer and electrical engineering because of the amount of data sets it can process at greater speeds and ability to learn faster than the human brain.

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Analytics Insight is an influential platform dedicated to insights, trends, and opinions from the world of data-driven technologies. It monitors developments, recognition, and achievements made by Artificial Intelligence, Big Data and Analytics companies across the globe.

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Applications of AI And Machine learning In Computer Science and Electrical Engineering - Analytics Insight

Sydney, Sept. 15, 2021 (GLOBE NEWSWIRE) -- E-Web Marketing, a Sydney-based results-driven, holistic, digital marketing agency, is sharing tips on how to utilize social media and Google Ads and integrating them together to maximize their effectiveness.

E-Web says that a holistic approach to online marketing means utilizing multiple channels and using them in tandem to boost each other, increasing visibility and impact across all of them. To cite a real-world example of the impact that a focused, multi-pronged strategy can bring, NewsCred, one of the worlds leading marketing orchestration platforms, used LinkedIn Sponsored Updates to net a 1600% return on ad spend. The key, according to E-Web, is to treat social media and paid search as if they are two sides of the same coin and then playing to each of their strengths while splitting resources so that they complement each other.

Social media channels can be used as a free A/B testing platform to figure out catchy headlines and taglines that resonate the most with the target audience. Twitter is a great place to gauge engagement and then use the messaging that works best on a more focused social media network such as LinkedIn. Digital marketers can also investigate trending topics that can be personalized to the brands core service. Trending topics can be turned into potentially attractive content that can be the first hook that funnels newer customers in. Marketers have to constantly track ROI and stay cognizant of which demographics are responding to their efforts the most and then fine-tuning the message to appeal to that demographic to maximize ROI. Tools such as Facebook Audience Insights should not be treated as their own bubble and instead, its findings should be leveraged to boost engagement on other platforms.

Another observation that arose from E-Web's social media advertising efforts was that the brand aesthetic should be consistent across marketing channels. This includes the visual assets that are used on each social media profile, the tone of the headlines, and the promise of its core services. Customers should be confident of the brand when they come across it on any of its social media platforms. Any potential disconnects that stray from the brands core message should be eliminated.

PPC advertisements such as Google Ads can be used to hop onto trending topics and contextualizing the trends to match the services that the company is offering. Many major players use this strategy to drastically increase their follower counts that in turn kicks off organic growth on their social channels. Companies can also look for the topics that are of most interest to their target demographic and then make content that explicitly answers the pressing questions of their potential customers. The quality content also has to be supplemented with a call to action that compels readers to share it with others who might find it useful. Companies have to facilitate the sharing of their content by making available social sharing buttons that make it easy to share the content through social media.

PPC advertisements can also be used to supercharge remarketing efforts considering that customers that are already aware of a brands existence are a precious resource that has to be efficiently utilized to get the most ROI for ones marketing efforts. A skilled digital marketer proficient in Google Ads management and Facebook Ads management could display PPC ads to previous visitors and nudge them towards signing up or finding out more about the companys services. Email lists are another useful tool that can be used to create a targeted list of potential clients, including those who the company needs to bring back for repeat business. Remarketing can also be used to bring back customers who may have visited a site such as an eCommerce store and may have quit with an abandoned cart.

Interested customers can find out more about E-Web Marketing and its services by contacting it at the phone number (02) 8413 6409. They offer a range of services such as digital marketing consulting, web & software development, Google Adwords management, social media advertising, content marketing, and email marketing.

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For more information about E-Web Marketing, contact the company here:

E-Web MarketingSam Shetty1300 785 122press@ewebmarketing.com.auSuite 701, South Tower, 1 Railway St, Chatswood NSW 2067

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E-Web Marketing Offers Tips On Making Social Media And Google Ads Work Together - GlobeNewswire