Change-Based Testing for Efficient Embedded Software Development

April 15, 2019

According to recent Cambridge University research, the global cost of debugging software has risen to $312 billion annually1 . This number tells us that the software industry has a serious quality problem, and that companies are spending incredible amounts of money treating the symptom, but not nearly enough remedying the cause. A major cause of software bugs is inefficient and incomplete testing. This paper will focus on techniques that can be used to improve testing efficiency.

Spotlight

Polyverse Corporation

Polyverse Corporation was founded in 2015 to solve the global cybersecurity crisis. The company has developed a groundbreaking solution to the world’s most destructive cyberattacks, making large-scale remote cyber exploits near impossible. Through the innovative application of Moving Target Defense technology, Polyverse changes the economics of hacking, shifting the balance of power back to the defenders, which makes hacking so phenomenally expensive and difficult that it is not worth the effort.

OTHER WHITEPAPERS
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Unleash data and AI forcompetitive advantageReady your data for AIand multicloud

whitePaper | January 10, 2020

Instead of following a set of rote, preprogrammed instructions, AI enables machines to learn, and then “act,” on information. Your voice-activated phone, technologies such as speech and image recognition, autonomous vehicles, the smart devices in your home—all of these advances were made possible by AI technology. AI also marks a fundamental advancement in critical, often time-consuming, business processes. It’s poised to dramatically enhance human decision-making and improve an organization’s ability to make predictions, automate business practices, and optimize logistics.

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5 Brass tacks to achieve compliance with AI and ML

whitePaper | March 1, 2020

The lucrative business of banks selling their customers “financial advice” coupled with financial products has been in the spotlight recently with the events that have shaken up the banking and financial services world. The most notable ones are the investigations of the Royal Commissions into the misconduct of the banking and superannuation industry1 , the misconduct charges of £264 billion fined by EU on the top 20 banks2 , the Wells Fargo fake accounts scandal3 and the nearly 1000 cases of fraud reported to FINRA resulting in a fine of $61 Million in 20184 .

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ARTIFICIAL INTELLIGENCE AT THE EDGE OF MANUFACTURING

whitePaper | November 1, 2021

Robotics, automation, Internet of Things (IoT), and data are not new in manufacturing. Manufacturing is one of the most data-rich and first industries piloting artificial intelligence at the edge. It’s been estimated, however, that about 95% of all industrial data goes unused. The reason? Legacy equipment and operational systems that tend to be proprietary and siloed are incapable of communicating with each other.

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STATE OFENTERPRISE AIIN INDIA2019

whitePaper | November 1, 2019

It's futile to deny it, but Artificial Intelligence (AI) is no longer the buzzword of tomorrow, it's a striking reality of today, and the enterprise landscape of AI has never looked more promising than it does today! Indian Enterprise Market for AI to be estimated to be $100 million, growing at 200-250% CAGR. Futuristic growth of this sort clearly underscores the potential in the big revolution that business leaders should prepare for!

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Cloud SOS: Treating a case of cloud failure

whitePaper | August 5, 2020

Your cloud-enabled future loomed bright. Major budgets were allocated. Agonising hours were spent herding stakeholders. You’re now using cloud, but your teams and the wider business aren’t reaping the expected benefits. Even with the best intentions, tech leaders are struggling to fill those skills gaps, particularly when it comes to cloud implementation, migration and net new deployments. As a result, the business is held back – from capitalising on the cloud’s potential to deliver value internally (boosting efficiency and agility) and externally (delivering products and services that boost revenue).

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Artificial Intelligence & Machine Learningin Public Safety

whitePaper | December 15, 2019

Artificial Intelligence (AI), and specifically Machine Learning (ML), are being tested in an increasing number of fields, including data-centric environments. Image or text analysis, speech recognition, chatbot interactions, custom machine learning models… all these are elements that could enable the AI journey of a public safety and security organisation. This document dives into different aspects of integrating AI & ML in Public Safety activities, at different levels and in different domains of activity. It presents ethical and regulatory considerations, real examples from Public Safety Answering Points (PSAPs) and Emergency Response Organisations (EROs), and also initiatives that can benefit the public sector greatly, with a series of recommendations at the end.

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Spotlight

Polyverse Corporation

Polyverse Corporation was founded in 2015 to solve the global cybersecurity crisis. The company has developed a groundbreaking solution to the world’s most destructive cyberattacks, making large-scale remote cyber exploits near impossible. Through the innovative application of Moving Target Defense technology, Polyverse changes the economics of hacking, shifting the balance of power back to the defenders, which makes hacking so phenomenally expensive and difficult that it is not worth the effort.

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