Protecting Your Enterprise Databases from Ransomware

August 30, 2018

Ransomware is no longer the new kid on the block. In fact, going back as far as 2005, ransomware has played a part in the world of cybercrime. As a relatively “easy” way for criminals to make money, it comes as no surprise that ransomware has gained many underground followers over the past 11 years. With new strains appearing online almost weekly, ransomware has become the number one concern of many IT security professionals and researchers. Whether it’s Archiveus, Reveton, CryptoLocker, Locky, or WannCry, one thing is certain: holding data for ransom is here to stay.

Spotlight

Diaspark Inc

Incorporated in New York in 1995, Diaspark Inc. is a leading provider of IT Services and Solutions to businesses ranging from mid-sized to global fortune 500 enterprises. Diaspark is a Microsoft Gold Partner and its quality processes are endorsed by the industry’s leading certification standard SEI-CMMI at Level-5. It is an established company ranked as one of the fastest growing private companies in the US by Inc. 500 magazine.

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How Financial Institutions Can Overcome 3 Obstacles to Innovation

whitePaper | August 10, 2020

Digital innovation is happening fast — and there’s no slowing it down. Financial institutions are shifting priorities as third-party apps and services become more prevalent among consumers. Now, staying connected is no longer just an option, it’s critical to achieving success and staying relevant. mx.com | 1 But moving fast isn’t as easy as it sounds. There’s a fine line that financial institutions have to balance when it comes to innovating quickly to give their customers the experiences they’ve come to expect and ensuring their data remains safe and secure. As data sharing and connected integration ecosystems become the new norm, here are three challenges many financial institutions are facing.

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Towards the engineering of trustworthy AI applications for critical systems

whitePaper | October 26, 2022

An accident that will leave its mark. Yesterday morning, Mrs. D., an employee of the Pharma4.0 factory in Valenciennes, had her right wrist broken by an InCobot handling robot during an ordinary operation that until now had never caused any problems. In this factory, the operation called “pick and place” of cough syrup bottles is performed jointly by human operators and robotic arms in the same work area, and this on many stations.

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Getting Started with Data Acquisition Systems

whitePaper | August 6, 2020

The purpose of any data acquisition system is to gather useful measurement data for characterization, monitoring, or control. The specific parameters of your application will dictate the resolution, accuracy, channel count, and speed requirements of a data acquisition system. A wide assortment of data acquisition components and solutions is available on the market, including low-cost USB modules, benchtop data loggers, and large channel systems. Before you start your search for a data acquisition solution, carefully analyze your application requirements to understand how much capability and performance you need to purchase.

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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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Machine learning and artificial intelligence in a brave new world

whitePaper | December 22, 2022

Machine learning, one of the key building blocks of AI, has been a part of the technological world since the 1950s, when the earliest programmers asked computers to make sense of large sets of data. Programmers have increasingly refined the ability of machines to study data in order to detect patterns that allow computers to then organise information, identify relationships, make predictions and detect anomalies. Today, modern applications of AI have already given us self-driving cars and virtual assistants and have helped us detect fraud and manage resources like electricity more efficiently. Sectors as diverse as retail, sports, banking, manufacturing and healthcare have all found applications for machine learning and AI.

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Implementation Challenges to Three Pillars of America’s AI Strategy

whitePaper | December 23, 2022

The transformative potential of artificial intelligence (AI) is a kind of truism. Seeking to capture the benefits of the “Fourth Industrial Revolution” or “third wave of the digital revolution,” countries are prioritizing efforts to reorganize their public and private sectors, fund research and development (R&D), and establish structures and policies that unleash AI innovation.

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Spotlight

Diaspark Inc

Incorporated in New York in 1995, Diaspark Inc. is a leading provider of IT Services and Solutions to businesses ranging from mid-sized to global fortune 500 enterprises. Diaspark is a Microsoft Gold Partner and its quality processes are endorsed by the industry’s leading certification standard SEI-CMMI at Level-5. It is an established company ranked as one of the fastest growing private companies in the US by Inc. 500 magazine.

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