Cloud Hosting

The Ben-Gurion University of the Negev (BGU) is currently accepting applications for its Data Mining and Business Intelligence summer programme in 2024. The programme is designed to delve into the realm of automatic data analysis and the extraction of valuable information and knowledge. BGUs summer programme in data mining and business intelligence responds to the evident demand for academic training in the fields of big data, business intelligence, and data mining, particularly with a focus on bolstering cybersecurity. The primary goal of this programme is to impart both theoretical and practical knowledge, including the essential tools required for effective data mining, according to an official release.

The programme comprises two academic courses, each offering three credits. In these courses, students will gain proficiency in fundamental data mining techniques and the application of machine learning methods to address cybersecurity challenges. The culmination of the programme involves a final project aligned with the course content, fostering hands-on experience. Moreover, students will have the opportunity to participate in educational visits to companies. The entire programme will be conducted in English, the release mentioned.

Eligible applicants are students in their third year of undergraduate studies or higher, as well as those at any stage of their graduate studies, pursuing disciplines such as Information Systems Engineering, Software Engineering, Computer Science, Electrical Engineering, Communication Engineering, Data Science, Applied Mathematics, Statistics, Industrial Engineering and Management (with Robotics or Information Systems track). A minimum GPA of 82 or 3.0 is required for admission, the release stated.

The application fee is $60, and its non-refundable. The tuition fee is $2,950, covering academic credit certificates, accommodations, health insurance and professional field trips, it added.

Original post:

Ben-Gurion University announces application for Data Mining and Business Intelligence programme 2024 - The Financial Express

LAS VEGAS, October 06, 2023--(BUSINESS WIRE)--Ault Alliance, Inc. (NYSE American: AULT), a diversified holding company ("Ault Alliance," or the "Company"), today announced that its wholly owned subsidiary, Sentinum, Inc. ("Sentinum"), has reached an impressive milestone of $46 million in Bitcoin mining revenue since the inception of its mining endeavors. Notably, Sentinum mined 139 Bitcoins in the month of September 2023 alone.

Ault Alliance has consistently believed in the transformative power of Bitcoin and blockchain technology. This steadfast commitment to Bitcoin mining has proven fruitful, as todays results clearly showcase. The Company is pleased with Sentinums operations and remains firmly convinced of Bitcoins status as a robust, future-ready currency, also highlighting its potency as a hedge against inflation and the declining value of the dollar.

William B. Horne, Chief Executive Officer of Ault Alliance, remarked, "Todays numbers are a testament to the dedication and relentless effort of the Sentinum team. The experience we have gained developing and operating data centers, mining Bitcoin and providing hosting services further solidifies our commitment to disruptive technologies such as blockchain and artificial intelligence."

Ault Alliance is in process of enlarging its footprint in the realm of data centers to support high performance computing with bespoke solutions. This expansion is expected to be executed via the development of the Companys planned data center projects in Montana and Texas, in addition to augmenting its existing facility in Michigan.

For more information on Ault Alliance and its subsidiaries, Ault Alliance recommends that stockholders, investors, and any other interested parties read Ault Alliances public filings and press releases available under the Investor Relations section at http://www.Ault.com or at http://www.sec.gov.

About Ault Alliance, Inc.

Ault Alliance, Inc. is a diversified holding company pursuing growth by acquiring undervalued businesses and disruptive technologies with a global impact. Through its wholly and majority-owned subsidiaries and strategic investments, Ault Alliance owns and operates a data center at which it mines Bitcoin and offers colocation and hosting services for the emerging artificial intelligence ecosystems and other industries, and provides mission-critical products that support a diverse range of industries, including metaverse platform, oil exploration, crane services, defense/aerospace, industrial, automotive, medical/biopharma, consumer electronics, hotel operations and textiles. In addition, Ault Alliance extends credit to select entrepreneurial businesses through a licensed lending subsidiary. Ault Alliances headquarters are located at 11411 Southern Highlands Parkway, Suite 240, Las Vegas, NV 89141; http://www.Ault.com.

Story continues

Forward Looking Statements

This press release contains "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. These forward-looking statements generally include statements that are predictive in nature and depend upon or refer to future events or conditions, and include words such as "believes," "plans," "anticipates," "projects," "estimates," "expects," "intends," "strategy," "future," "opportunity," "may," "will," "should," "could," "potential," or similar expressions. Statements that are not historical facts are forward-looking statements. Forward-looking statements are based on current beliefs and assumptions that are subject to risks and uncertainties.

Forward-looking statements speak only as of the date they are made, and the Company undertakes no obligation to update any of them publicly in light of new information or future events. Actual results could differ materially from those contained in any forward-looking statement as a result of various factors. More information, including potential risk factors, that could affect the Companys business and financial results are included in the Companys filings with the U.S. Securities and Exchange Commission, including, but not limited to, the Companys Forms 10-K, 10-Q and 8- K. All filings are available at http://www.sec.gov and on the Companys website at http://www.Ault.com.

View source version on businesswire.com: https://www.businesswire.com/news/home/20231006834018/en/

Contacts

Ault Alliance Investor Contact IR@Ault.com or 1-888-753-2235

Here is the original post:

Ault Alliances Subsidiary, Sentinum, Surpasses $46 Million in Bitcoin Mining Revenue Since Inception and Reports Mining 139 Bitcoins in September 2023...

Legal professionals are abuzz about the power of AI to transform the practice of law, but it can be hard to know which tools to trust for your practice.

It is an enormously exciting time at the intersection of technology and professional information, Thomson Reuters CEO Steve Hasker wrote for Reuters. We are on the verge of a revolution in creating new efficiencies by getting professionals the right answers faster.

Along with his excitement about the possibilities of AI, Hasker also takes the question of trust seriously. Before they can be fully trusted to do important work, [generative AI models] need to be trained using comprehensive, authoritative data sets, Hasker wrote. Perhaps even more importantly, that process needs to be intermediated by human subject matter experts who understand the nuances and the context and have the power to override inaccuracies Put simply, Humans + AI is the only way we will be successful.

Hasker is pointing to the three important criteria for choosing AI-powered tools for legal practice: domain expertise, quality data, and AI experts.

Jump to:

AI systems are designed and trained by human beings. Human beings structure the data, create test queries, and give the system feedback on how well it answered the query so it can perform better the next time.

When you are choosing AI-powered tools for your legal practice, be sure to look closely at the expertise behind the system. Legal experts are a critical component of effective legal AI tools, along with quality data and AI experts.

Domain expertise ensures that an AI solution is built with the right end users in mind. In the legal world, this domain expertise comes from legal professionals imparting real-world subject matter experience and nuanced, peer-reviewed perspectives into the software, as well as human-created metadata, tags, editorial markup, and additional data that provides context and connections.

Have you heard of hallucinations? In generative AI speak, a hallucination is a correct-sounding response that is utterly wrong. The system looked through the data and crafted a response out of words that seemed most likely to go together.

Remember the attorneys who were sanctioned for using fake citations from ChatGPT? They cited six fake cases and blamed ChatGPT for the mistake. They said in a statement, We made a good faith mistake in failing to believe that a piece of technology could be making up cases out of whole cloth.

But tools like ChatGPT will create hallucinations, because they arent drawing from a verified and continually updated set of data, and they arent watched over by human editors. They also dont make it easy for you to double-check the documents and guidance they serve up.

Westlaw, Practical Law, and other products from Thomson Reuters build on 150 years of human insight, categorization like the Key Number System, and editorial enhancements that ensure the quality and structure of the source material. According to Thomson Reuters Legal President Paul Fischer, Trusted legal content and accuracy are critical to our ongoing product-development efforts. Fischer was speaking at a webinar outlining upcoming generative AI offerings from Thomson Reuters.

The reality is, raw legal data like cases, statutes, and analytical materials are not search-engine-ready. The legal industry has always relied on human expertise to make documents findable. AI wont change that.

The third element to consider when youre choosing an AI-powered legal tool is the level of expertise of the data scientists, designers, and software developers.

The depth of AI expertise a company has shows you the level of commitment to delivering a best-in-class experience that users can rely on. AI expertise includes the teams technical expertise and experience of working with AI and its many principles and techniques. It also includes the companys investment in robust technology stacks.

Thomson Reuters created the Center for Cognitive Computing and the Thomson Reuters Labs to foster innovation and collaboration between AI experts and domain experts. The teams work to expand the idea of what technology can do to improve legal processes, and in so doing they extend the state of the art in natural language processing, machine learning, deep learning, information retrieval, knowledge representation and reasoning, data mining, text analytics, and human-computer interactions.

AI-powered tools all draw on data, and they all have AI scientists and designers behind them. When youre choosing technology for your legal practice, consider which solutions offer you the most trusted data. Which ones are designed and trained by other legal practitioners with you and your work in mind? And which ones draw from proven development and innovation processes that continue to push the boundaries of possible within your workflow?

Thomson Reuters has earned trust in legal research through over a century of innovation, content maintained by our attorney editors, and reliable and responsible use of technology like AI. Find out more about artificial intelligence for legal professionals.

Link:

Legal technology providers: Top things to consider before investing ... - Thomson Reuters

Do oil and gas tankers have a use for artificial intelligence (AI)? Thats the question Rigzone posed to maritime risk intelligence company Dryad Global, who in turn outlined a range of ways these tankers can utilize the technology.

Data mining was one use case Dryad highlighted in its response.

Throughout a tankers journey, they create and receive a continuous stream of data, a company spokesperson told Rigzone.

People are limited in their abilities to process and sort it. AI mines real-time data to provide alerts and offer vital information that was not on the radar of traditional sources, the company added.

This can mitigate a range of risks and assist in making quick, reactive decisions in critical situations, such as compliance (such as environmental), re-routing due to unforeseen circumstances, port scheduling problems, Dryad continued.

Another highlighted use case was efficiency.

AI can make oil and gas tankers more efficient, the company told Rigzone.

AI can be used to optimize fleet operations and the logistics route by analysing data from GPS, weather, and port traffic. For example, BP tracks the movement of its tankers in real-time using AI, which helps them to avoid congested areas and reducing shipping time, the company added.

This can also improve energy efficiency, Dryad went on to state.

The company also flagged maintenance as a use case.

Unplanned downtime is costing oil and gas companies $38 million on average, Dryad said in its response to Rigzone.

AI can help mitigate this risk by predicting when equipment and vehicles will need maintenance, reducing downtime and costs, the company added.

AI Protection

In a statement posted on its website last month, Dryad Global announced that it was leveraging BlackBerrys Cylance AI to advance the protection of vessels and maritime cyber endpoint security, toproactively detect malware and prevent cyberattacks, and optimize bandwidth and connectivity.

Maritime Security and IT Ops face mounting challenges due to limited resources and escalating threats. This complexity burdens Captains, CSOs, Vessel Operators, and Crews, diverting their focus from fleet operations, Dryad noted in the statement.

To address this, Dryad Global is partnering withBlackBerryto deliver a robust solution that encompasses a full range of cybersecurity services and an emergency response mechanism for maritime incidents, it added.

The core of this alliance involves integrating Dryad Globals ARMS platform withBlackBerrysCylance AI, ensuring top-tier AI-driven security and specialized consultations. This collaboration aims to safeguard vessel networks most susceptible component: endpoints, it continued.

Dryad highlighted in the statement that the partnership caters to diverse maritime sectors, including cargo, cruise, superyachts, and insurance.

With a surge in endpoints within the maritime and superyacht sectors, cyberattacks are on the rise, Dryad CEO Corey Ranslem said in the statement.

Our collaboration with BlackBerry is a proactive response, aiding maritime professionals in adapting to an evolving threat landscape, he added.

Dryad Globals commitment lies in holistic security, right from the ocean floor. With Cylance AI, we're channeling cutting-edge, prevention-focused technology, ensuring our ARMS customers receive top-tier protection, he continued.

Dryad highlighted in the statement that Cylance AI launched in 2012 as the industrys first AI cybersecurity solution and the industrys first predictive cybersecurity solution.

Predictive cybersecurity solutions arent just the future, theyre our present-day guards, defending against digital threats before they even knock on the door, Nathan Jenniges, the Senior Vice President and General Manager of BlackBerry Spark, said in a company statement at the time.

In line with BlackBerrys decades-long ethos that best-in-class security and productivity can coexist, Cylance AI enables organizations to stay ahead of cyberattacks without sacrificing operational efficiency, he added.

Maritime Cyber Security

Dryads latest annual report, which was released earlier this year, included an interview with Professor Kevin Jones, the Executive Dean of Science and Engineering at the University of Plymouth, about cyber security in the maritime field.

There were very few targeted attacks on the maritime sector, Jones said in that interview.

If there were, they tended to be at nation state level - things like large-scale GPS spoofing to investigate the attackers capability for doing those things, he added.

Jones went on to note, however, that maritime cyber-attacks are becoming a profitable mechanism that can be exploited by organizations up to the level of worldwide organized crime.

Most of the major shipping lines have been hit at some level or another in the last couple of years, and this wasnt the case five or six years ago, he said in the interview.

So that change has happened, in the same way as the banking sector: two decades ago they went from we dont have to worry about it to we are a prime target, he added.

In the interview, Jones warned that the attack landscape is going to get worse.

More and more people will realize the benefits they can get from maritime cybercrime. More and more tools will be developed to specifically target the sector, he said in the interview.

In summary, the sectors had a bit of a respite that the rest of the world hasnt, in terms of the classic situation of were out at sea, were an island, we dont have to worry about this cyber internet stuff existing until now, he added.

That period is over. There will be a rapid escalation until the maritime sector achieves the same security level as banking, road transport, power, or any of the other sectors, he continued.

To contact the author, emailandreas.exarheas@rigzone.com

Read more:

Do Oil and Gas Tankers Have a Use For AI? - Rigzone News

PIA blog first wrote about the normalization of workplace surveillance six years ago. A new report from Cracked Labs called Monitoring, Streamlining and Reorganizing Work with Digital Technology shows how privacy at work is even more at risk today.

Basic workplace surveillance has now morphed into something called process mining. Wikipedia defines process mining as a family of techniques relating the fields of data science and process management to support the analysis of operational processes based on event logs. The goal of process mining is to turn event data into insights and actions. Typically, event data refers to what employees do within a business; the insights and actions are designed to allow management to see who is doing what and when theyre doing it, and how to optimize activities and processes to increase efficiency and profits.

An earlier article in Analytics Insight lists what it sees as the top five processing mining companies. Number one is Celonis, an important software company that most people have probably never heard of. Headquartered in Germany, its active worldwide, has a valuation of $13 billion, and employs over 3,000 people. It has more than 5,000 enterprise customer deployments, including many well-known companies in key industries. The software is particularly popular among management consultants: according to Celonis, over 2,000 consulting firms use it for their client projects.

The new Cracked Labs report concentrates on Celonis as its the market leader, its representative of the whole class of emerging process mining companies. The reports summary gives a good idea of how Celonis software carries out process mining using the following data practices:

Weve previously discussed some workplace surveillance practices things like monitoring everything an employee does on their computer, even down to what they click on with the mouse (Celonis calls this task mining). Process mining has moved beyond piecemeal surveillance of employees to bring all this data together for higher-level analysis. A key element is workflow analysis and automation. By aggregating data about individuals, the software is able to evaluate and assess workflows, and their duration and outcomes. It can calculate performance metrics for teams, departments, and other groups. The new report notes a significant recent development in this area:

In 2020, Celonis started to refer to its software as an execution management system (EMS), putting the focus on managing and changing operational processes rather than merely analyzing them. Employers and third parties can create Celonis-based execution applications, which combine process analysis and optimization with functionality for workflow automation and task management. Similar to other cloud-based enterprise software systems, Celonis has turned into a platform. Third-party vendors can offer Celonis-based applications via the companys app, marketplace. This includes, for example, applications to manage or supervise work in manufacturing, warehouses, helpdesk services and call centers.

That is, beyond merely carrying out surveillance on staff, the data collected is used to reconfigure work patterns and optimize them according to various metrics. The personal data collected is also made available to a new class of platform-based applications that can carry out even deeper analysis and produce further managerial options.

The routine and expanding use of personal data in this way is clearly problematic from a privacy viewpoint. But this shift to automating workflows with software brings with it another problem, described by the new report as follows:

It potentially divorces work from the reasons for doing a task, which remain opaque and shifts authority from humans to the information system. Especially when combined with a limited set of possible actions, this restricts autonomy and discretion at work. It may result in a variety of side effects, such as employees experiencing the algorithmic system as arbitrary rule, employees prioritizing their efforts to match the systems expectations, the invisibility of work activities that lack an accurate digital representation in the system or even complete dysfunctionality. Not least, algorithmic management, especially when based on statistical inferences, entails the risk of discrimination against already disadvantaged employees.

Summarizing its findings, the report concludes:

While employers can certainly use these technologies in ways that are beneficial for everyone, the findings in this case study suggest that organizations may utilize them to unilaterally streamline and reorganize work according to their business goals while making workers subject to disproportional digital monitoring and control. The unscrupulous exploitation of worker data at scale increases the power imbalance between employers and workers and normalizes extensive surveillance in the workplace. While these technologies could, in theory, also be used to optimize work towards goals like better working conditions and increased employee wellbeing, Celonis almost exclusively emphasizes optimization towards the most ordinary and aggressive business objectives like increased efficiency and lowered costs.

This indicates how the loss of privacy in this case in the workplace is not some abstract issue. Thanks to the increasing use of process mining in companies, surveillance in the workplace can lead to an erosion of fundamental rights. Most troubling, perhaps, is that it can dehumanize work itself, effectively turning employees into little more than cogs in a machine run not by human managers, but by sophisticated and inscrutable software.

Featured image by Celonis.

More here:

Process Mining: The Next Stage in Workplace Surveillance, and a ... - Privacy News Online