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PhD Candidate in Data-Driven Decision Services for Child and Adolescent Mental Health job with NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY – NTNU…

About the position

We have a vacancy for a Ph.D. Candidate in Data-Driven Decision Services for Child and Adolescent Mental Health, at theDepartment of Computer Science (IDI). The position is for 4 years with teaching duties (25% of teaching assistance).

For a position as a Ph.D. Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.

The candidate will work towards providing Local, Early and Precise clinical decision services (CDS) integrated with and based on electronic health record systems (EHR) in Child and Adolescent Mental Health Services (CAMHS). The position will be affiliated with theIDDEAS research projectat theRegional Centre for Child and Youth Mental Health and Child Welfare (RKBU)at NTNU, and the St. Olav University Hospital, Division of Mental Health. The candidate will also aim to pilot and validate CDS in the new EHR introduced in Central Norway in collaboration with theHelseplattformen.

The required research will be interdisciplinary, yet at the forefront of medical artificial intelligence employing large datasets prospectively to mine and learn patterns in care trajectories. The overall objective is to improve precision, efficacy, and timeliness of assessment and treatment related to ADHD. Emphasis will be on enabling and realizing data-driven decision services for clinicians and patients based on secondary use of comprehensive health data registers. This includes aspects of user requirements elicitation, data mining, and visualization, clinical language processing, and continuous maintenance of clinical data analysis pipelines.

You will report to the Head of Department.

Duties of the position

Required selection criteria

The appointment is to be made in accordance with the regulations in force concerningState Employees and Civil ServantsandRegulations concerning the degrees ofPhilosophiaeDoctor (PhD)andPhilosodophiaeDoctor (PhD) in artistic researchnational guidelines for appointment as PhD, post doctor and research assistant

Preferred selection criteria

You should preferably have:

Personal characteristics

We appreciate the:

We offer

Salary and conditions

Ph.D. candidates are remunerated in code 1017 and are normally remunerated at gross from NOK 491 200 per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.

The period of employment is 4 years with teaching duties (25% of teaching assistance).

Appointment to a Ph.D. position requires that you are admitted to the Ph.D. program inin Computer Science within three months of employment, and that you participate in an organized Ph.D. program during the employment period.

The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NTNU. After the appointment you must assume that there may be changes in the area of work.

It is a prerequisite you can be present at and accessible to the institution daily.

About the application

The application and supporting documentation to be used as the basis for the assessment must be in English.

Publications and other scientific work must follow the application. Please note that applications are only evaluated based on the information available on the application deadline. You should ensure that your application shows clearly how your skills and experience meet the criteria which are set out above.

The application must include:

If all,or parts,of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education, both bachelor's and master's education, in addition to other higher education. Description of the documentation required can befoundhere. If you already have a statement fromNOKUT,pleaseattachthisas well.

Joint works will be considered. If it is difficult to identify your contribution to joint works, you must attach a brief description of your participation.

In the evaluation of which candidate is best qualified, emphasis will be placed on education,experienceand personal and interpersonalqualities.Motivation,ambitions,and potential will also countin the assessment ofthe candidates.

NTNU is committed to following evaluation criteria for research quality according toThe San Francisco Declaration on Research Assessment - DORA.

General information

Working at NTNU

A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background.

The city of Trondheimis a modern European city with a rich cultural scene. Trondheim is the innovation capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality.

As an employee at NTNU, you must at all times adhere to the changes that the development in the subject entails and the organizational changes that are adopted.

Information Act (Offentleglova), your name, age, position, and municipality may be made public even if you have requested not to have your name entered on the list of applicants.

If you have any questions about the positions, please contact Associate Professor ystein Nytr,nytroe@ntnu.noor Head of the Department Heri Ramampiaro, email:heri@ntnu.no. If you have questions about the recruitment process, please contact Senior executive officer Kenneth Hagensen email:kenneth.hagensen@ntnu.no.

Please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates. Applications submitted elsewhere will not be considered. Diploma Supplement is required to attach for European Master Diplomas outside Norway. Chinese applicants are required to provide confirmation of Master Diploma fromChina Credentials Verification (CHSI).

If you are invited for interview you must include certified copies of transcripts and reference letters. Please refer to the application number 2022/6882 when applying.

Application deadline: 15.03.22

NTNU - knowledge for a better world

The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.

Department of Computer Science

We are the leading academic IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing. The Department has groups in both Trondheim and Gjvik. TheDepartment of Computer Scienceis one of seven departments in theFaculty of Information Technology and Electrical Engineering.

Deadline15th March 2022EmployerNTNU - Norwegian University of Science and TechnologyMunicipalityTrondheimScopeFulltimeDurationTemporaryPlace of serviceNTNU Trondheim

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PhD Candidate in Data-Driven Decision Services for Child and Adolescent Mental Health job with NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU...

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TeraWulf Names William "Sandy" Harrison as Vice President of Investor Relations – Longview News-Journal

EASTON, Md., Feb. 14, 2022 /PRNewswire/ -- TeraWulf Inc. (Nasdaq: WULF) ("TeraWulf"), which was formed to own and operate fully integrated environmentally clean bitcoin mining facilities in the United States, today announced it has appointed William "Sandy" Harrison as Vice President of Investor Relations, effective immediately.

Mr. Harrison brings to TeraWulf significant experience in financial and marketing communications, equity research, financial analysis and strategic planning. Most recently, he served as Vice President of Investor Relations at Semtech Corporation for eight years, with responsibility for leading the company's investor relations program and establishing its environmental, sustainability and governance (ESG) team. Before joining Semtech, Mr. Harrison held analyst positions with increasing levels of responsibility at Wunderlich Securities, Signal Hill Capital Group and Pacific Growth Equities. Mr. Harrison holds a Master of Business Administration in finance & accounting from Loyola University and a bachelor's degree in industrial psychology & history from Washington & Lee University.

TeraWulf began trading on the Nasdaq Stock Market LLC in December 2021 after completing its business combination with IKONICS Corporation. The Company is developing two fully integrated environmentally clean bitcoin mining facilities, Lake Mariner in New York and Nautilus Cryptomine in Pennsylvania, with the objective of 800 megawatts of mining capacity deployed by 2025, enabling over 23 exahash per second of expected hashrate. The Lake Mariner facility is expected to begin mining operations in the first quarter.

"Sandy's unique blend of experience is a natural fit for TeraWulf, bringing an expertise in investor relations and ESG programs, a comprehensive understanding of the financial markets and deep investor connections," said Paul Prager, Chief Executive Officer and chair of the board of TeraWulf. "We are pleased to have him join the team as we finalize preparations to begin mining operations at Lake Mariner this quarter. With a fully integrated, environmentally clean platform, we expect to be able to offer attractive economics and advance towards or our goal of providing domestically produced bitcoin powered by 100% zero-carbon energy."

"With a seasoned team of energy industry experts who understand the complex logistics required to undertake bitcoin mining at an industrial scale, as well as a genuine commitment to strong ESG values, TeraWulf truly stands out as best-in-class," said Mr. Harrison. "I look forward to putting my skills to work as we establish TeraWulf as the leader in fully integrated environmentally friendly bitcoin mining."

About TeraWulf

TeraWulf (Nasdaq: WULF) was formed by an experienced group of energy entrepreneurs to own and operate fully integrated environmentally clean bitcoin mining facilities in the United States. The Company is developing two mining facilities, Lake Mariner in New York and Nautilus Cryptomine in Pennsylvania, with the objective 800 megawatts of mining capacity deployed by 2025, enabling over 23 exahash per second of expected hashrate. TeraWulf will generate domestically produced bitcoin powered by nuclear, hydro and solar energy with a goal of utilizing 100% zero-carbon energy. With a core focus of ESG that ties direction to its business success, TeraWulf expects to offer attractive mining economics at an industrial scale.

For more information on TeraWulf, please visit http://www.TeraWulf.com or follow @TeraWulfInc on Twitter.

Forward-Looking Statements

This press release contains forward-looking statements within the meaning of the "safe harbor" provisions of the Private Securities Litigation Reform Act of 1995, as amended. Such forward-looking statements include statements concerning anticipated future events and expectations that are not historical facts. All statements, other than statements of historical fact, are statements that could be deemed forward-looking statements. In addition, forward-looking statements are typically identified by words such as "plan," "believe," "expect," "anticipate," "intend," "outlook," "estimate," "forecast," "project," "continue," "could," "may," "might," "possible," "potential," "predict," "should," "would" and other similar words and expressions, although the absence of these words or expressions does not mean that a statement is not forward-looking. Forward-looking statements are based on the current expectations and beliefs ofTeraWulf's management and are inherently subject to a number of factors, risks, uncertainties and assumptions and their potential effects. There can be no assurance that future developments will be those that have been anticipated. Actual results may vary materially from those expressed or implied by forward- looking statements based on a number of factors, risks, uncertainties and assumptions, including, among others: (1) conditions in the cryptocurrency mining industry, including fluctuation in the market pricing of bitcoin and other cryptocurrencies, and the economics of cryptocurrency mining, including as to variables or factors affecting the cost, efficiency and profitability of cryptocurrency mining; (2) competition among the various providers of data mining services; (3) changes in applicable laws, regulations and/or permits affecting TeraWulf's operations or the industries in which it operates, includingregulation regarding power generation, cryptocurrency usage and/or cryptocurrency mining; (4) the ability to implement certain business objectives and to timely and cost-effectively execute integrated projects; (5) failure to obtain adequate financing on a timely basis and/or on acceptable terms with regard to growth strategies or operations; (6) loss of public confidence in bitcoin or other cryptocurrencies and the potential for cryptocurrency market manipulation; (7) the potential of cybercrime, money-laundering, malware infections and phishing and/or loss and interference as a result of equipment malfunction or break-down, physical disaster, data security breach, computer malfunction or sabotage (and the costs associated with any of the foregoing); (8) the availability, delivery schedule and cost of equipment necessary to maintain and grow the business and operations of TeraWulf, including mining equipment and equipment meeting the technical or other specifications required to achieve its growth strategy; (9) employment workforce factors, including the loss of key employees; (10) litigation relating to TeraWulf, IKONICS and/or the business combination; and (11) the ability to recognize the anticipated objectives and benefits of the business combination. Potential investors, stockholders and other readers are cautioned not to place undue reliance on these forward- looking statements, which speak only as of the date on which they were made. TeraWulf does not assume any obligation to publicly update any forward- looking statement after it was made, whether as a result of new information, future events or otherwise, except as required by law or regulation.

Contacts

TeraWulf

Michael Freitag / Joseph Sala / Lyle Weston

Joele Frank, Wilkinson Brimmer Katcher

(212) 355-4449

View original content:https://www.prnewswire.com/news-releases/terawulf-names-william-sandy-harrison-as-vice-president-of-investor-relations-301481302.html

SOURCE TeraWulf Inc.

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Snow Lake Lithium’s First Results from Drone Mag Survey Identify Multiple Extension Anomalies and Prospective Targets on SG Claims – Junior Mining…

WINNIPEG, MB / ACCESSWIRE / February 15, 2022 / Snow Lake Resources Ltd., d/b/a Snow Lake Lithium Ltd. (NASDAQ:LITM) ("Snow Lake" or the "Company"), is pleased to report that the first batch of data received from its drone magnetic survey first announced ( November 29, 2021 - Snow Lake Lithium Receives Government Grant for $62,000 CAD ), identified several highly prospective targets in the Company's Sherritt Gordon (SG) pegmatite dykes.

Initial images from the EarthEx Drone Magnetic survey on the Snow Lake Lithium SG - Grass River (GR) Target area show noticeable correlation between magnetic lows in the data and the known pegmatite dykes that were sampled during last fall's prospecting campaign (December 6th 2021 - Snow Lake Resources Ltd. Samples Up To 6.97 WT% Li2O from its Manitoba Project ). The drone system's unique ability to fly low to the canopy and maintain centimeter precision RTK (real-time kinematic positioning) navigation results in exceptional levels of detail in the data, revealing features not before seen (Figure 1.0).

Photo 1 - Drone taking flight during survey over SG dyke

In addition to the known pegmatites, the EarthEx survey has revealed several other magnetically low lineaments with favorable structural orientations in the vicinity near the SG and GR dykes. The survey will continue over the Thompson Brothers Lithium deposit area this week.

Both the SR and GR dykes will be the primary targets for drill #3 being mobilized by BRL Drilling ( Feburary 2, 2022 - Snow Lake Lithium Contracts Additional Drill to Project After Extending the Strike Zone on First Hole).

CEO Philip Gross commented "These are very exciting times for Snow Lake as we continue to progress the project and accelerate towards mining and full commercial production. The Sherritt Gordon claims have a long history of lithium attached to them, dating back to the 1940's when they were originally drilled. The drone data we obtained can now identify previously unknown extensions that greatly multiply the potential of this property. With the third drill en route, we are excited to start drilling these anomalies as soon as possible and to begin to establish our operations that we expect will position us as the preeminent carbon neutral lithium supplier to the North American automotive industry in the near future."

Daniel Card, President of EarthEx Geophysical Solutions Inc. stated "We are delighted to be working with Snow Lake Lithium on what is a very exciting and promising lithium project. We are thrilled with the effectiveness with which known pegmatites and new targets are being mapped in the data and we are proud to provide Snow Lake with such an effective exploration tool."

Figure 1.0 Preliminary Magnetic Image (1st VD) over the SG - Grass River Target Area

About EarthEx Geophysical Solutions Inc.

EarthEx Geophysical Solutions Inc was founded in 2014 in Selkirk Manitoba Canada by its Chief Geophysicist, Daniel Card. Mr Card, P.Geo, RPGeo, a professional Geophysicist, who holds a BSc. Hons degree from the University of Manitoba and is currently registered in Canada and Australia.

Since its inception, EarthEx has gained widespread recognition for its scientific accomplishments for its clients & partners.

EarthEx is specialized in the acquisition of high-resolution geophysical data from UAV (drone) based platforms, data interpretation, 3D modelling and target definition for hard-rock minerals. Working with cutting edge technologies and data analysis algorithms and methodology EarthEx is known for providing high quality exploration targets and tools to its clients.

About Snow Lake Resources Ltd.

Snow Lake Lithium is committed to creating and operating a fully renewable and sustainable lithium mine that can deliver a completely traceable, carbon neutral and zero harm product to the electric vehicle and battery markets. We aspire to not only set the standard for responsible lithium mining, but we intend to be the first lithium producer in the world to achieve Certified B Corporation status in the process.

Our wholly owned Thompson Brothers Lithium Project covers a 55,318-acre site that has only been 1% explored and contains an identified-to-date 11.1 million metric tonnes indicated and inferred resource at 1% Li2O.

Forward Looking Statements

This press release contains "forward-looking statements" that are subject to substantial risks and uncertainties. All statements, other than statements of historical fact, contained in this press release are forward-looking statements. Forward-looking statements contained in this press release may be identified by the use of words such as "anticipate," "believe," "contemplate," "could," "estimate," "expect," "intend," "seek," "may," "might," "plan," "potential," "predict," "project," "target," "aim," "should," "will" "would," or the negative of these words or other similar expressions, although not all forward-looking statements contain these words. Forward-looking statements are based on Snow Lake Resources Ltd.'s current expectations and are subject to inherent uncertainties, risks and assumptions that are difficult to predict and include statements regarding the expected use of proceeds and expected closing. Further, certain forward-looking statements are based on assumptions as to future events that may not prove to be accurate. These and other risks and uncertainties are described more fully in the section titled "Risk Factors" in the final prospectus related to our public offering filed with the Securities and Exchange Commission and other filings and reports that we file with the Securities and Exchange Commission. Forward-looking statements contained in this announcement are made as of this date, and Snow Lake Resources Ltd. undertakes no duty to update such information except as required under applicable law.

Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.www.SnowLakeLithium.comtwitter: @SnowLakeLithium

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Snow Lake Lithium's First Results from Drone Mag Survey Identify Multiple Extension Anomalies and Prospective Targets on SG Claims - Junior Mining...

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Coal mines transformed society. Now, their flooded remains could heat the homes of the future – CNBC

Coal being mined

Monty Rakusen | Cultura | Getty Images

LONDON The ramifications of the Industrial Revolution, which had its roots in 18th-century Britain, were huge.

Britain's abundance of coal as well as the ease with which it could be accessed was a crucial ingredient in this historical turning point, powering the steam engines which helped drive society's transformation.

But things have changed. The number of operational coal mines there has plunged, and last June, authorities announced Britain would stop using coal to generate electricity from October 2024, a year earlier than the original target of 2025.

Even though most mines in the U.K. have closed, their centuries-old story isn't necessarily over. In Scotland, work is underway to look at how the water that has flooded old, disused mines can be used to provide decarbonized heating to buildings.

Conducting this research is a facility known as the Glasgow Geoenergy Observatory, which is run by the British Geological Survey. A dozen boreholes have been drilled, with the majority in Rutherglen, a town southeast of Glasgow.

According to those behind the project, both Glasgow and Rutherglen were home to some of the busiest coal mines in Scotland. After their closure, natural floods filled them with water of about 12 degrees Celsius.

This image shows one of the Glasgow Observatory's sites in Scotland. A total of 12 boreholes have been drilled as part of the project.

Mike Stephenson, who was until recently executive chief scientist for decarbonization at the British Geological Survey, told CNBC that the project was about "doing research on the heat in coal mines and also, to some extent, whether you can store heat in old coal mines."

Stephenson said that at the site where the work is taking place, the team was "experimenting with how fast water flows amongst these mines, how warm the water is, how fast, if you take warm water out, does the water replenish so how fast does the warmth come back."

"It is a research site, not a demonstration," he said. Research was being undertaken "to try and understand what are the limits to the amount of heat, how much heat there is."

"All those things will be a set of scientific findings and equations and models," he added. He said this would provide valuable information to both companies and local authorities interested in the idea.

"It will help them decide where to do it, how close you drill the holes together, how deep you drill them, how you design them to make it as efficient as possible."

The project has made progress over the last 12 months or so. In the summer of 2021, it was announced that pumping tests had been completed and samples collected from 10 of the site's boreholes.

"The latest data show that the boreholes of the Glasgow Observatory are well-connected to the flooded mine workings," Alan MacDonald, a hydrogeologist with the British Geological Survey, said at the time.

Mine water between 50 and 90 meters under Glasgow measures between 11 and 13 degrees Celsius, he added. For comparison, the average temperature of Scottish groundwater is 10 degrees, MacDonald said.

According to Britain's Coal Authority, 25% of the U.K.'s residential properties sit on coalfields. As a source of heating, the potential of underground, flooded mines such as the ones being researched in Glasgow appears to be considerable.

Citing its own calculations, the Coal Authority says the "constantly replenishing water within these mines could potentially be a large enough resource to provide all of the heating requirements for the coalfield areas." It could also have applications in sectors such as manufacturing and horticulture.

"The water in these mines is a low carbon, sustainable heat source, which under the right conditions can compete with public supply gas prices and deliver carbon savings up to 75% compared to gas heating," it notes.

A host of governments are attempting to move away from coal, but it still plays a crucial role in many nations. According to the International Energy Agency, coal supplies around a third of worldwide electricity generation.

Last December, the Paris-based organization said coal-fired power generation was due to hit an all-time high in 2021. As for coal production, the IEA said it's "forecast to reach an all-time high in 2022 and then plateau as demand flattens."

While it was crucial to the planet's industrialization and remains an important source of electricity, coal has a substantial effect on the environment.

The U.S. Energy Information Administration lists a range of emissions from coal combustion. These include carbon dioxide, sulfur dioxide, particulates and nitrogen oxides.

Elsewhere, Greenpeace has described coal as "the dirtiest, most polluting way of producing energy."

In the northeast of England, South Tyneside Council has been working on a project aiming to repurpose part of the area's mining heritage.

According to the council, the 7.7 million ($10.4 million) Hebburn Minewater Project will "draw geothermal energy from abandoned flooded mines in the former Hebburn Colliery."

The initiative aims to supply heat to several buildings that the council owns by using mine water from the old colliery, which opened in the late 18th century and shut down in 1932.

The project is centered on the drilling of two boreholes. A water source heat pump will extract the mine water's heat, after which it will be compressed to a far greater temperature. After being funneled to an energy center, a new network of pipes will be used for distribution.

The council is working on the project, which is slated for completion in June 2023, alongside Durham University and the Coal Authority. Last October, it was announced that testing had shown the mine water's temperature was warmer than initially thought.

Attempts to use the warm waters of flooded mines are not unique to the U.K. In 2008, a facility described by the European Commission as the first mine water power station in the world opened in the Netherlands. A similar project based on using mine water to heat buildings in Asturias, northern Spain, has also been developed.

Back in South Tyneside councilor Ernest Gibson, whose brief covers climate change, spoke to CNBC about the industry's deep-rooted relationship with the area and his hopes for the future.

"The economics of the area declined [as] soon as the coal mines closed," Gibson, a former miner, said.

He explained how the shutting down of a colliery affected not only the mining industry but also others like the steel and transport industries, as well as smaller operations like local shops and the "ragman," a term for a person who would buy, collect and sell old items. Gibson went on to tell CNBC that he's "proud" of the fact old coal mines are being used again.

"The collieries closed but ... they were revived in a different format," he said, later striking a more philosophical tone. "It's like life everything changes, nothing stands still. And I think it's for the best."

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Internet of Things (IoT) Predictions to Foresee in 2022 – EnterpriseTalk

IoT development has been regarded as the most promising area of the digital world in recent years. This is unsurprising, given how Internet technologies have become ingrained in daily lives.

The aftermath of the COVID-19 pandemic has changed the technology environment. Automation, data mining, and machine learning (ML) are being used by businesses more than ever before, and the convergence of several technologies is causing a surge of innovation. Against this backdrop, the Internet of Things (IoT) is gaining traction, offering real-world competitive advantages to enterprises in a variety of industries.

Here are some IoT forecasts for the year 2022, according to industry experts.

SIMs are being digitized for IoT deployments, allowing enterprises to remotely activate SIMs implanted in their endpoints. Without needing to order and swap physical cards, users may install global SIM profiles into compatible devices in seconds. This greatly simplifies and shortens the provisioning process, while also avoiding shipping expenditures and putting delivery issues in the past.

Also Read:

Companies should combine it with an embedded universal integrated circuit card (eUICC) and a remote SIM provisioning platform, whether its a compatible pluggable SIM or an embedded SIM card. Even large-scale worldwide deployments can use a single SKU strategy and switch profiles later if necessary. Roaming limitations are removed, and carrier profiles can be changed remotely.

Digital twins are not a new concept, but the nomenclature is starting to make its way into common tech jargon. The ability to translate physical objects into digital form and overlay data to create a digital twin enables very complex simulations. However, when this digital representation is entrenched within the metaverse, the business benefits multiply enormously.

A company can now digitally reproduce anything from a single endpoint to a complete factory or ecosystem. And embedding the digital twin in the metaverse, complete with live feeds, enables everything from more precise predictive maintenance to increased productivity based on nearly infinite scenarios. Smart cities, too, can be successfully, precisely, and in real-time modeled.

Sensor data takes on a whole new dimension when IoT and the metaverse are merged. The puzzle pieces are starting to fit together, and the new reality is not far away.

Also Read: Why CIOs May Fail to Support Hybrid Work in 2022

As larger and more complicated IoT deployments become the norm, the focus is moving to secure networking configurations and tougher device regulations. IoT ecosystems can cause organizations potentially irreversible damage if they are breached, in addition to providing a slew of benefits to a variety of industrial applications.

The weakest links in the security chain are usually humans and manual processes. When a security breach happens in an IoT environment, cybercriminals can not only misuse IoT devices, but can also compromise or damage data, trigger physical activities, and create destructive scenarios in the real world. As a result, discussions in 2022 and beyond will be dominated by a renewed focus on private networks and sophisticated security measures.

Check Out The NewEnterprisetalk Podcast.For more such updates follow us on Google NewsEnterprisetalk News.

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Ban on publishing business information in government sights – Hindustan Times

The Finance Bill has proposed to criminalise the illicit publication of transaction-level information provided by business entities to the customs department as such data could be misused by competing international entities and hostile countries to the disadvantage of Indian businesses, two officials aware of the development said.

There have to be legal provisions against publication of the data, which can be mined by other countries to Indias disadvantage, they said.

The Finance Bill presented in Parliament on February 1 proposed to insert Section 135AA in the Customs Act to protect import and export data submitted to customs by importers or exporters in their declarations by making the publishing of such information, unless provided by the law, as an offence.

The proposed data privacy and confidentiality provisions evoked strong responses from all quarters. On one end was Congress MP Shashi Tharoor who alleged that the government was restricting availability of data for the public, on the other was FIEO director general Ajay Sahai who told media that exporters had pitched for stringent measures to prevent commercially sensitive information being shared as they were being procured from the Customs ICEGATE and being sold for a premium, an official said.

The Indian Customs Electronic Gateway (ICEGATE) is the national portal of Indian customs under the Central Board of Indirect Taxes and Customs (CBIC) that provides e-filing services to cargo carriers and other trading partners electronically.

Reacting to Tharoors tweet on this matter, the CBIC said: Honble MPs attention is invited to the clause proposed as sub-section. 135 AA (2) under which Government agencies, such as, Department of Commerce, will continue to uninterruptedly publish data as per current practice.

The proposed clause will only criminalise the illicit publication of personalised, transaction level information by private entities, which affects the competitive position of Indian businesses in international trade and compromises their data privacy, it said in a second tweet on this matter from its official handle @cbic_india on February 5.

In any case, data publication through the department of commerce will continue unhindered, the official mentioned above said. At present, the Director General of Commercial Intelligence & Statistics (DGCI&S) provides export and import data through the governments website tradestat.commerce.gov.in.

The data is aggregated and fully anonymised before publishing on the net. The data can be extracted at 8 digits, country-wise, with quantity & values of goods, imported and exported. This aggregate data is useful for associations and researchers but apparently not enough for business. They are looking for competitive intelligence and mining information of buyers, sellers, and even contemporaneous values of goods to ward-off challenges on valuation by Customs. This demand has led to a very lucrative data mining and trading market, he said.

Reportedly, there are 130 million records available for sale on the darkweb and as recently as December 2021, the Directorate General of Systems filed an FIR with Delhi police under the IT Act 2000 on the heels of missives to other ministries on improving data security of commercially sensitive customs data, he added.

Another official, who did not wish to be named, said the CBIC officers network is a closed loop and not open to the public via the internet. However, ICEGATE exchanges data with over 26 partner agencies, including commercial organisations in the private sector such as ports and airports. For the private sector, the data is immensely valuable for offering of multitude of services or for monetisation. Their approach to data security is not aligned with that of customs.

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Ban on publishing business information in government sights - Hindustan Times

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Stanford University to Offer Free Online Course in Machine Learning – News18

Stanford University will offer an online Machine Learning with Graphs course in the fall of 2022. The training will be free of charge for anyone who wishes to attend.Lectures will be held on Tuesday and Thursday, from 1:30 pm to 3 pm in the NVIDIA auditorium. Stanford professors will keep posting the lecture slides and assignments online as the course progresses.The complete schedule and details on the course can be found at the official website: web.stanford.edu/class/cs224w/

Anyone having a basic understanding of computer science principles sufficient to write a reasonably non-trivial computer programme can apply for the course. As per the eligibility criteria, one should be familiar with the fundamentals of probability theory and have a basic knowledge of linear algebra to understand the online course.

Read |From Yale to Harvard: Online Courses That Offer Degree From Top US Colleges

In the online course, students will be trained to grasp complicated data that may be represented as a graph of relationships between objects as part of the course. These networks are critical for modelling social, technical, and biological systems.

The course focuses on the computational, algorithmic, and modelling challenges associated with massive graph analysis. Students are taught machine learning techniques and data mining tools that could provide insights into a variety of networks by studying the underlying graph structure and its properties.

The course covers the following topics: representation learning and graph neural networks; algorithms for the world wide web; reasoning over knowledge graphs; influence maximisation; disease outbreak detection; and social network analysis.

The machine learning course by Stanford University was the most popular course in 2021, according to Coursera - one of Indias leading ed-tech platforms. In 2020, Science of Wellbeing by Yale University was the most opted for the course by learners on the platform.

How to learn math - a course which teaching approaches to learn the subject is also among of the most favourite online courses offered by Stanford followed by artificial intelligence: principles and techniques.

Read all the Latest News, Breaking News and Assembly Elections Live Updates here.

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BI and Data Analytics News for the Week of February 10; Updates from Toric, ZL Tech, Starburst, and More – Solutions Review

The editors at Solutions Review have curated this list of the most noteworthy BI and analytics news items for the week of February 11, 2022. In this weeks roundup, Toric no-code BI raises a Series A round, ZL Tech releases a new data tool for corporate information, Starburst continues its meteoric rise, and more.

Keeping tabs on all the most relevant BI and analytics news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week, in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy BI and analytics news items.

Toric provides data integration, data prep and analytics in a cloud platform to boost productivity. With it, users can consolidate, prepare for analysis, visualize, share and reuse data. The venture capital will enable the company to execute its go-to-market strategy while increasing the number of data integrations, partnerships, and platform features. Toric was co-founded by Thiago da Costa, the former CEO of Lagoa, acquired by Autodesk in 2014.

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ZL Tech recently announced advancements to its SaaS platform that leapfrog todays sandbox analytics paradigm by expanding the sandbox to the entire beach. The application enables organizations to extract insights buried in people data such as emails and documents. ZL Tech can search on-demand through the entire beach of employee-created content, such as Microsoft 365, Teams, and file servers.

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The round brings Starbursts total financing to date to $414 million, as the company ramps up operations to meet the industrys growing demand for faster analytics on decentralized data. Starburst Enterprise now includes features that allow companies to build and share data products, and the necessary native access controls that form the foundation of a data mesh implementation.

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TheCloud Awardshas released its picks for theBest Cloud Business Intelligence or Analytics Solution, a report in the mold of theForbes Cloud 100that includes the providers it sees as leaders in the space. The Cloud Awards program was founded by a group of technical engineers, business leaders, and marketers with the aim of revealing innovation in cloud computing. The program is available to cloud technology providers across the globe and features a number of different software categories.

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For consideration in future data analytics news roundups, send your announcements to tking@solutionsreview.com.

Tim is Solutions Review's Editorial Director and leads coverage on big data, business intelligence, and data analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in data management and data integration, Tim is a recognized influencer and thought leader in enterprise business software. Reach him via tking at solutionsreview dot com.

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BI and Data Analytics News for the Week of February 10; Updates from Toric, ZL Tech, Starburst, and More - Solutions Review

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What is Data Science? A Complete Guide. | Built In

Data science has been proven useful in about every industry.Data Science Uses

Data science helps us achieve some major goals that either were notpossible or required a great deal more time and energy just a few years ago, such as:

Additionally, here are a few examples of how businesses are using data science to innovate in their sectors, create new products and make the world around them even more efficient.

Data science has led to a number of breakthroughs in the healthcare industry. With a vast network of data now available via everything from EMRs to clinical databases to personal fitness trackers, medical professionals are finding new ways to understand disease, practice preventive medicine, diagnose diseases fasterand explore new treatment options.

Tesla, Ford and Volkswagen are all implementing predictive analytics in their new wave of autonomous vehicles. These cars use thousands of tiny cameras and sensors to relay information in real-time. Using machine learning, predictive analytics and data science, self-driving cars canadjust to speed limits, avoid dangerous lane changes and even take passengers on the quickest route.

UPS turns to data science to maximize efficiency, both internally and along its delivery routes. The companys On-road Integrated Optimization and Navigation (ORION) tool uses data science-backed statistical modeling and algorithms that create optimal routes for delivery drivers based on weather, traffic, construction, etc. Its estimated that data science is saving the logistics company up to 39 million gallons of fuel and more than 100 million delivery miles each year.

Do you ever wonder how Spotify just seems to recommend that perfect song you're in the mood for? Or how Netflix knows just what shows youll love to binge? Using data science, the music streaming giant can carefully curate lists of songs based onthe music genre or band youre currently into. Really into cooking lately? Netflixs data aggregator will recognize your need for culinary inspiration and recommend pertinent shows from its vast collection.

Machine learning and data science have saved the financial industry millions of dollars, and unquantifiable amounts of time. For example, JP Morgans Contract Intelligence (COiN) platform uses Natural Language Processing (NLP) to process and extract vital data from about 12,000 commercial credit agreements a year. Thanks to data science, what would take around 360,000 manual labor hours to complete is now finished in a few hours. Additionally, fintech companies like Stripe and Paypal are investing heavily in data science to create machine learning tools that quickly detect and prevent fraudulent activities.

Data science is useful in every industry, but it may be the most important in cybersecurity. International cybersecurity firm Kaspersky is using data science and machine learning to detect over 360,000 new samples of malware on a daily basis. Being able to instantaneously detect and learn new methods of cybercrime, through data science, is essential to our safety and security in the future.

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What is Data Science? A Complete Guide. | Built In

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What is a Data Scientist? – Master’s in Data Science

Data scientists are big data wranglers, gathering and analyzing large sets of structured and unstructured data. A data scientists role combines computer science, statistics, and mathematics. They analyze, process, and model data then interpret the results to create actionable plans for companies and other organizations.

Data scientists are analytical experts who utilize their skills in both technology and social science to find trends and manage data. They use industry knowledge, contextual understanding, skepticism of existing assumptions to uncover solutions to business challenges.

A data scientists work typically involves making sense of messy, unstructured data, from sources such as smart devices, social media feeds, and emails that dont neatly fit into a database.

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Experienced data scientists and data managers are tasked with developing a companys best practices, from cleaning to processing and storing data. They work cross functionally with other teams throughout their organization, such as marketing, customer success, and operations. They are highly sought after in todays data and tech heavy economy, and their salaries and job growth clearly reflect that.

Here are six common steps to consider if youre interested in pursuing a career in data science:

You will need at least a bachelors degree in data science or computer-related field to get your foot in the door as an entry level data scientist, although most data science careers will require a masters degree. Degrees also add structure, internships, networking and recognized academic qualifications for your rsum. However, if youve received a bachelors degree in a different field, you may need to focus on developing skills needed for the job through online short courses or bootcamps.

1QS World University Rankings (2020)

Data scientists may specialize in a particular industry or develop strong skills in areas such as artificial intelligence, machine learning, research, or database management. Specialization is a good way to increase your earning potential and do work that is meaningful to you.

Once youve acquired the right skills and/or specialization, you should be ready for your first data science role! It may be useful to create an online portfolio to display a few projects and showcase your accomplishments to potential employers. You also may want to consider a company where theres room for growth since your first data science job may not have the title data scientist, but could be more of an analytical role. Youll quickly learn how to work on a team and best practices that will prepare you for more senior positions.

Here are a few certifications that focus on useful skills:

Certified Analytics Professional (CAP)

CAP was created by the Institute for Operations Research and the Management Sciences (INFORMS) and is targeted towards data scientists. During the certification exam, candidates must demonstrate their expertise of the end-to-end analytics process. This includes the framing of business and analytics problems, data and methodology, model building, deployment and life cycle management.

SAS Certified Predictive Modeler using SAS Enterprise Miner 14

This certification is designed for SAS Enterprise Miner users who perform predictive analytics. Candidates must have a deep, practical understanding of the functionalities for predictive modeling available in SAS Enterprise Miner 14.

Academic qualifications may be more important than you imagine. When it comes to most data science jobs, is a masters required? It depends on the job and some working data scientists have a bachelors or have graduated from a data science bootcamp. According to Burtch Works data from 2019, over 90% of data scientists hold a graduate degree.

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On any given day, a data scientists responsibilities may include:

Every company will have a different take on data science job tasks. Some treat their data scientists as data analysts or combine their duties with data engineers; others need top-level analytics experts skilled in intense machine learning and data visualizations.

As data scientists achieve new levels of experience or change jobs, their responsibilities invariably change. For example, a person working alone in a mid-size company may spend a good portion of the day in data cleaning and munging. A high-level employee in a business that offers data-based services may be asked to structure big data projects or create new products.

Data scientists dont need to just understand programming languages, management of databases and how to transpose data into visualizations they should be naturally curious about their surrounding world, but through an analytical lens. Possessing personality traits that resemble quality assurance departments, data scientists may be meticulous as they review large amounts of data and seek out patterns and answers. They are also creative in making new algorithms to crawl data or devising organized database warehouses.

Generally, professionals in the data science field must know how to communicate in several different modes, i.e to their team, stakeholders and clients. There may be a lot of dead ends, wrong turns, or bumpy roads, but data scientists should possess drive and grit to stay afloat with patience in their research.

Successful data scientists have a strong technical background, but the best data scientists also have great intuition about data. Are the features meaningful, and do they reflect what you think they should mean? Given the way your data is distributed, which model should you be using? What does it mean if a value is missing, and what should you do with it? The best data scientists are also great at communicating, both to other data scientists and non-technical people. In order to be effective at Airbnb, our analyses have to be both technically rigorous and presented in a clear and actionable way to other members of the company.

Lisa Qian, Data Scientist at Airbnb

Programming: Python, SQL, Scala, Java, R, MATLAB

Machine Learning: Natural Language Processing, Classification, Clustering,Ensemble methods, Deep Learning

Data Visualization: Tableau, SAS, D3.js, Python, Java, R libraries

Big data platforms: MongoDB, Oracle, Microsoft Azure, Cloudera

According to the Bureau of Labor and Statistics (BLS), employment growth of computer information and research scientists, which include data scientists, from 2019 to 2029 is 15%. Demand for experienced data scientists is high, but you have to start somewhere. Some data scientists get their foot in the door working as entry-level data analysts, extracting structured data from MySQL databases or CRM systems, developing basic visualizations in Tableau or analyzing A/B test results. If youd like to push beyond your analytical role think about what you could do with a career in data science:

Companies of every size and industry from Google, LinkedIn and Amazon to the humble retail store are looking for experts to help them wrestle big data into submission. In certain companies, new look data scientists may find themselves responsible for financial planning, ROI assessment, budgets and a host of other duties related to the management of an organization.

A data scientists salary depends on years of experience, skillset, education, and location. According to The Burtchworks Study, employers place greater value on data scientists with specialized skills, such as Natural Language Processing or Artificial Intelligence. The BLS claims skilled computer research and information scientists, which include data scientists, enjoy excellent job prospects because of high demand. Salary data below comes from 2019 data from the Bureau of Labor Statistics.

Data ScientistAverage Data Scientist Salary: $122,840 per yearLowest 10%: $69,990Highest 10%: $189,780

Senior Data ScientistMedian Sr. Data Scientist Salary: $171,755Total Pay Range: $147,000 $200,000

The first step to becoming a data scientist is typically earning a bachelors degree in data science or a related field, but there are other ways to learn data science skills such as a bootcamp or through the military. You may also consider pursuing a specialization or certification or earning a masters degree in data science before getting your first entry-level data scientist job.

Data scientists use a variety of skills depending on the industry they work in and their job responsibilities. Most data scientists are familiar with programming languages such as R and Python, as well as statistical analysis, data visualization, machine learning techniques, data cleaning, research and data warehouses and structures.

The time it takes to become a data scientist depends on your career goals and the amount of money and time you prefer to spend on your education. There are four-year bachelors degrees in data science available, as well as three-month bootcamps. If youve already earned a bachelors degree or completed a bootcamp, you may want to consider earning a masters degree, which can take as little as one year to complete. As shown in the aforementioned Burtch Works study, most data scientists do hold an advanced degree.

Tech bootcamps are a quick way to gain experience with data science and become knowledgeable in programming languages such as Python, R and SQL. Data science bootcamps are typically short programs offered in a variety of formats including part time, full time, online or on campus. Some bootcamps may take a couple of weeks to complete while others may take up to a couple of months. Bootcamps may help you expand your network and could offer dedicated career services to help with job placements after graduation.

During the bootcamp, youll work on projects and create a portfolio to demonstrate your abilities to potential employers. Data science bootcamps typically cover a variety of topics such as machine learning, natural language processing, different types of data analytics, data visualization and more.

When researching bootcamps, it is important to consider your career goals and what youd like to get out of the program. Some bootcamps are geared toward beginners, while others are better suited for those with some programming or computer science experience. You may also want to consider the background of the instructors teaching the bootcamp as well as cost. Are you able to take time off and commit to a full-time immersive experience? Does the bootcamp offer scholarships or discounts? Make sure to ask about all of your financing options.

Last updated: March 2021

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