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Why Big Data Analytics, AI/ML will be the Most In-Demand Skills in India in 2022? – Analytics Insight

February 15, 2022 | Author: admin

Why Big Data Analytics, AI/ML will be the Most In-Demand Skills in India in 2022?

The need for skilling and upskilling reached a new high amid the pandemic and in 2022, big data analytics, along with AI/ML, are reportedly to be the most in-demand skills in India. With rapid tech adoption across industries and entirely tech-enabled sectors such as IT and BFSI, the role of AI and Machine learning will only continue to grow in 2022, with a significant increase in the demand for related roles. Industry reports suggest that AI/machine learning investments in India will continue to grow at a CAGR of 33.49 percent till 2023.

To enhance customer engagement, more and more organizations are adopting chatbots which are forecast to empower approximately 45 percent of organizations customer support services by 2022. The future of work is location-agnostic and hybrid, with increased skilling initiatives being undertaken by both employers and employees. Leading tech-enabled industries such as IT, FinTech, BFSI, and crypto will continue to flourish with talent demand spikes. It is also interesting to note that employee flexibility would be critical towards retaining talent in the future, and the Great Shuffle is a reinforcement of how the huge demand in the jobs market is opening the door for employees to select a career of their choice. The Indian fintech market is expanding rapidly and is estimated to become the third-largest market in the world by 2025.

According to the annual trends report, Indian IT has continued to hire through the course of the pandemic and will exhibit similar trends in 2022.

The IT industry is reportedly forecast to grow 7 percent in the current year and is likely to see a gross employee addition of around 450,000 in the second half of FY22. The top skills organizations are on the lookout for are Big data science, cloud computing, artificial intelligence, Blockchain, and machine learning. The demand for sales professionals is estimated to increase especially in industries such as fintech, retail, e-commerce, and social commerce. With a number of employees preferring remote working and staying in their hometowns, more and more organizations are considering setting up smaller offices in tier 2 cities or utilizing co-working spaces to provide employees with better resources and access to technology. This would, in turn, lead to an increased demand to hire across tier 2 cities in the coming months.

Hiring for freshers has picked up over the last three months of the year and is estimated to increase considerably in 2022.

The continuing emergence of startups will further contribute to the demand for entry-level professionals across industries. According to researchers, India has about 6.33 crore micro, small and medium enterprises. The number of registered SMBs grew 18.5% YoY to 25.13 lakh units in 2020, from 21.21 lakh units in 2019. As of 2020, registered SMBs were dominated by micro-enterprises at 22.06 lakh units, over 18.70 lakh in 2019, while small enterprise units went up from 2.41 lakh to 2.95 lakh. Midsized businesses marginally increased from 9,403 units to 10,981 units in the same period. SMBs and MSMEs are currently reported as employing more than 130 million people and contribute about 6.11% to Indias manufacturing GDP, 24.63% of the GDP from service activities as well as 33.4% of manufacturing output.

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23 million to boost skills and diversity in AI jobs – GOV.UK

February 15, 2022 | Author: admin

Funding for conversion courses will help underrepresented groups get tech jobs even if they have no previous experience in the field

Companies encouraged to contribute to funding to boost skills pipeline for future workforce

Up to 23 million in government funding will create more AI and data conversion courses, helping young people from underrepresented groups including women, black people and people with disabilities join the UKs world-leading Artificial Intelligence (AI) industry.

Up to two thousand scholarships for masters AI conversion courses, which enable graduates to do further study courses in the field even if their undergraduate course is not directly related, will create a new generation of experts in data science and AI.

The UK has a long and exceptional history in AI, from codebreaker Alan Turings early work through to London-based powerhouse DeepMinds pioneering research which will enable quicker and more advanced drug discovery.

AI underpins the apps which help us navigate around cities, stop online banking fraud and communicate with smart speakers.

The UK is ranked third in the world for private venture capital investment into AI companies (2019 investment into the UK reached almost 2.5 billion) and is home to a third of Europes total AI companies.

The new scholarships will ensure more people can build successful careers in AI, create and develop new and bigger businesses, and will improve the diversity of this growing and innovative sector.

DCMS Minister for Tech and the Digital Economy Chris Philp said:

The UK is already a world leader in AI. Today were investing millions to ensure people from all parts of society can access the opportunities and benefits AI is creating in this country.

We are doubling the number of AI scholarships previously available to underrepresented groups to build a diverse and inclusive workforce fit for the future of tech.

Science Minister George Freeman said:

The UK is one of the worlds most advanced AI economies, with AI already playing a key role in everything from climate science and medical diagnostics to factory robotics and smart cities.

It is therefore essential that we continue to equip our workforce with the skills they need in this important technology, while also making the industry accessible to talented people from all backgrounds.

Thats why todays significant funding award is so important, which will see underrepresented groups trained up to build successful careers in AI, supporting the growth and diversity of AI in the UK.

UK AI Council Chair Tabitha Goldstaub said:

Ensuring there is a diverse talent pool furthering AI developments is vital for the success of the technology and society.

These masters conversion courses welcoming people from non-STEM degrees attract a less homogeneous group which means the UK AI ecosystem benefits from graduates with different backgrounds, perspectives, and life experiences.

Obum Ekeke OBE, Head of Education Partnerships, DeepMind said:

The next generation of AI researchers must be representative of the world around us if AI is to benefit the whole of society.

These scholarships will help to build a stronger and more diverse AI community in the UK, and bring a wider range of experiences - as well as valuable multidisciplinary expertise - to the field.

The government is encouraging companies to play their part in creating a future pipeline of AI talent by match-funding the AI scholarships for the conversion courses. Industry support would get more people into the AI and data science job market quicker and strengthen their businesses.

An independent organisation, to be announced later this year, will be responsible for encouraging industry participation and investment into the AI Scholarships scheme.

First round of AI courses a roaring success

The first stage of the AI conversion courses in 2019, delivered by the Office for Students, supported 28 universities in England to set up and provide degree conversion courses in AI and data science.

The 13.5 million AI Scholarship programme enabled a diverse group of students to study AI and data science, as 76 per cent of scholarship students were women, whereas only 30 per cent of masters students on traditional computing courses are women. Nearly half, 45 per cent, of the scholarship students were black and 24 per cent had disabilities, boosting representation on the AI and data science courses.

The first phase of the AI courses also attracted tech talent outside of London and the South East, with 70 per cent of the total students and 84 per cent of the scholarship students based outside of these areas in England, levelling up AI and data science skills.

The programme is part of the governments National AI Strategy, which commits to investing in and planning for the AI ecosystem over the next ten years, to boost the UKs leadership as a global science and AI superpower.

The new scholarships follow on from the Industrial Funded AI Masters programme supported by the government since 2019 to increase AI skills across the UK with industry investment.

John Blake, Director for Fair and Access and Participation at the Office for Students said:

The postgraduate conversion courses offer a valuable opportunity for students from all backgrounds to contribute fresh perspectives and innovation to data science and artificial intelligence. In turn, these courses provide an important opportunity for organisations of all sizes to address the digital skills gap and support the post-pandemic recovery right across the country.

The enrolment data for the first year of the programme indicates that the courses are contributing to changes in the tech industry towards a more diverse workforce. I look forward to the next phase of the programme and seeing how universities and organisations are collaborating to support access for underrepresented students, and the subsequent successes of students as they continue to develop their learning and experiences in this crucial industry.

ENDS

Notes to editors An open competition will be held later this year for universities in England to bid for the scholarships. The next round of the AI scholarship scheme will start in April 2023 and will be available until 2025.

At the 2021 Conservative party conference in Manchester the Chancellor confirmed the creation of 2,000 AI scholarships, adding to the existing 1,000 AI and data science conversion course scholarships.

Courses are inclusive by design providing students with flexible access to study (e.g. evenings, remote options) and course content suitable for non-STEM graduates

The Department for Digital, Culture, Media and Sport (DCMS) and Office for AI are also looking to make more underrepresented groups eligible for the 2,000 AI scholarships.

A broker organisation will be established by April 2022 to support industry investment into this programme and provide information to industry across AI skills initiatives. If you would like to support the programme please contact AIskills@officeforai.gov.uk.

The Office for Students has developed a series of case studies about the students receiving scholarships, highlighting the benefits this investment has brought.

The National AI Strategy aims to secure broad public trust and support, and through the involvement of the diverse talents and views of society, focuses on three pillars:

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Learn quantum computing: a field guide – IBM Quantum

February 15, 2022 | Author: admin

Quantum theory is a revolutionary advancement in physics and chemistrythat emerged in the early twentieth century. It is an elegantmathematical theory able to explain the counterintuitive behavior ofsubatomic particles, most notably the phenomenon of entanglement. Inthe late twentieth century it was discovered that quantum theory appliesnot only to atoms and molecules, but to bits and logic operations in acomputer. This realization has brought about a revolution in thescience and technology of information processing, making possible kindsof computing and communication hitherto unknown in the Information Age.

Our everyday computers perform calculations and process information using thestandard (or classical) model ofcomputation, which dates back toTuring and vonNeumann. In thismodel, all information is reducible to bits, which can take the valuesof either 0 or 1. Additionally, all processing can be performed via simple logicgates (AND, OR, NOT, XOR, XNOR)acting on one or two bits at a time, or be entirely described by NAND (or NOR).At any point in its computation, aclassical computers state is entirely determined by the states of allits bits, so that a computer with n bits can exist in one of2^n possible states, ranging from 00...0 to11...1 .

The power of the quantum computer, meanwhile, lies in its much richerrepertoire of states. A quantum computer also has bits but instead of0 and 1, its quantum bits, or qubits, can represent a 0, 1, or linearcombination of both, which is a property known as superposition.This on its own is no special thing, since a computer whose bits can beintermediate between 0 and 1 is just an analog computer, scarcely morepowerful than an ordinary digital computer. However, a quantum computertakes advantage of a special kind of superposition that allows forexponentially many logical states at once, all the states from|00...0rangle to |11...1rangle . This is a powerfulfeat, and no classical computer can achieve it.

The vast majority of quantum superpositions, and the ones most useful for quantumcomputation, are entangled. Entangled states are states of the whole computerthat do not correspond to any assignment of digital or analog states ofthe individual qubits. A quantum computer is therefore significantly more powerfulthan any one classical computer whether it be deterministic,probabilistic, or analog.

While todays quantum processors are modest in size, their complexity growscontinuously. We believe this is the right time to build and engage a communityof new quantum learners, spark further interest in those who are curious,and foster a quantum intuition in the greater community.By making quantum concepts more widely understood even on a generallevel we can more deeply explore all the possibilities quantumcomputing offers, and more rapidly bring its exciting power to a worldwhose perspective is limited by classical physics.

With this in mind, we created the IBM Quantum Composer to provide the hands-onopportunity to experiment with operations on a real quantum computingprocessor. This field guide contains a series of topicsto accompany your journey as you create your own experiments, run them insimulation, and execute them on real quantum processorsavailable via IBM Cloud.

If quantum physics sounds challenging to you, you are not alone. But ifyou think the difficulty lies in hard math, think again. Quantum conceptscan, for the most part, be described by undergraduate-level linear algebra,so if you have ever taken a linear algebra course, the math will seem familiar.

The true challenge of quantum physics is internalizing ideas that arecounterintuitive to our day-to-day experiences in the physical world,which of course are constrained by classical physics. To comprehendthe quantum world, you must build a new intuition for a set of simple butvery different (and often surprising) laws.

The counterintuitive principles of quantum physics are:

1.A physical system in a definite state can still behaverandomly.

2.Two systems that are too far apart to influence each other cannevertheless behave in ways that, though individually random,are somehow strongly correlated.

Unfortunately, there is no single simple physicalprinciple from which these conclusions follow and we must guard againstattempting to describe quantum concepts in classical terms!The best we can do is to distill quantum mechanics down to a fewabstract-sounding mathematical laws, from which all the observed behaviorof quantum particles (and qubits in a quantum computer) can be deduced andpredicted.

Keep those two counterintuitive ideas in the back of your mind, let goof your beliefs about how the physical world works, and begin exploringthe quantum world!

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The Inside Of A Black Hole Deciphered With Quantum Computing – Optic Flux

February 15, 2022 | Author: admin

A physicist at the University of Michigan is utilizing quantum computing plus machine learning to help comprehend the concept of holographic duality.

Holographic duality is a mathematical concept that links particle theories and interactions with gravity theory. This conjecture implies that the theories of gravity and particles are mathematically analogous: whatever happens in the theory of gravity also occurs in the theory of particles, as well as vice versa.

Both theories explain various dimensions, but they differ by one in the number of dimensions they describe. So, for instance, gravity manifests in three dimensions inside the geometry of a black hole, but particle physics lives in two dimensions on its surface, a flat disk.

Our entire universe, according to some scientists, is indeed a holographic projection of particles, which might lead to a consistent quantum explanation of gravity.

Rinaldi and his co-authors look at ways to study holographic duality utilizing quantum computing & deep learning to determine the lowest energy state of mathematical equations termed quantum matrix models in a paper published in the journal PRX Quantum.

Researchers are aiming to determine the precise arrangement of particles in the system that represents the systems lowest energy state, termed the ground state, when they solve matrix models like these. Nothing changes inthe system in its natural condition unless you add anything to it that causes it to be perturbed.

The researchers in Rinaldis work define the quantum wave function, which is a mathematical representation of the quantum state of their matrix model. Then they utilize a unique neural network to determine the matrixs wave function with the least amount of energy, its ground state. The ground state from both matrix models studied by the researchers was discovered, although quantum circuits are constrained by a limited number of qubits.

The findings, according to Rinaldi, set a high bar for future research on quantum and machine learning algorithms that could be used to examine quantum gravity using the concept of holographic duality.

The research was published in the journal PRX Quantum.

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University of Strathclyde Will Lead Two Quantum Programs with a Total Budget of 960000 ($1.3M USD) – Quantum Computing Report

February 15, 2022 | Author: admin

University of Strathclyde Will Lead Two Quantum Programs with a Total Budget of 960,000 ($1.3M USD)

The first program is anInternational Network in Space Quantum Technologies which will include a consortium of 37 members in 13 countries, including four industrial partners, to develop satellite-enabled quantum-secure communication and Earth observation. It will tackle the technical challenges of putting quantum technology into space including the radiation environment in space, autonomous and remote operation and the limited size, weight and power constraints of satellites. This program will be funded by the UKsEngineering and Physical Sciences Research Council (EPSRC), part of UK Research and Innovation (UKRI) with a budget of 480,000. The second program is anInternational Network for Microfabrication of Atomic Quantum Sensors. This program will develop the next generation of miniaturized quantum sensors, with potential applications in healthcare, navigation, finance, communication and security. It is also funded by UKRI with a budget of 480,000. Additional information about these two quantum related awards is available in a news release on the University of Strathclyde website here.

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University of Strathclyde Will Lead Two Quantum Programs with a Total Budget of 960000 ($1.3M USD) - Quantum Computing Report

Sollensys Corp Quantum Computing Threat: The Best Offense is an Even Better Defense – Digital Journal

February 15, 2022 | Author: admin

Sollensys Corp. has announced the completion of a preliminary validation test of a blockchain verification algorithm which is resistant to an attack by even the most sophisticated quantum computer

PALM BAY, FL / ACCESSWIRE / February 15, 2022 / Sollensys Corp (OTC PINK:SOLS), one of the first cybersecurity companys using blockchain, has announced the completion of a preliminary validation test of a blockchain verification algorithm which is resistant to an attack by even the most sophisticated quantum computer. The validation test, which utilized a form of lattice-based cryptography, was performed using a Sollensys Blockchain Archive ServerTM to secure a data cache of the size typically generated on a daily basis by a large banking corporation.

Read the Sollensys white paper, The Impending Threat of Quantum Computing on Blockchain Security, now.

Although quantum computing is not yet developed to a high technology readiness level, neither are the defenses against the algorithms that quantum computation promises. Recent advances in quantum computer hardware capabilities suggest a rapidly shifting landscape in which quantum computing poses a systemic threat to blockchain integrity and security viability.

Today the Sollensys double blockchain technology represents the industry-leading approach for data security. Period. However, the rapidly evolving capability posed by quantum computers, especially if exploited by nefarious actors, is an emerging and salient threat for tomorrow, said Don Beavers, CEO of Sollensys Corp. In order to proactively thwart such vulnerabilities, Sollensys is developing a portfolio of algorithms which are verifiably resistant to an attack by a quantum computer. These new capabilities will seamlessly integrate into our double blockchain protocols as an option for our clients who continue to require the highest levels of ongoing data security. Further, the development of cryptographic algorithms which are quantum resistant has been determined to be a national priority and Sollensys intends to be a leader in this space.

The new suite of quantum resistant cryptographic algorithms will be offered as an option on other Sollensys data security products.

ABOUT SOLLENSYS CORP

Sollensys Corp is a math, science, technology, and engineering solutions company offering products that ensure its clients data integrity through collection, storage, and transmission. Our innovative flagship product is the Blockchain Archive Server, a turnkey, off-the-shelf, blockchain solution that works with virtually any hardware and software combinations currently used in commerce, without the need to replace or eliminate any part of the clients data security that is being utilized. The Company recently introduced its second product offering-the Regional Service Center-which offers small businesses the same state of the art technology previously available only to large or very well-funded companies.

The Blockchain Archive Server encrypts, fragments and distributes data across thousands of secure nodes every day, which makes it virtually impossible for hackers to compromise. Using blockchain technology, the Blockchain Archive Server maintains a redundant, secure and immutable backup of data. Redundant backups and the blockchain work together to assure not only the physical security of the database but also the integrity of the information held within.

The Blockchain Archive Server protects client data from ransomware-malicious software that infects your computer and displays messages demanding a fee to be paid for your system to work again. Blockchain technology is a leading-edge tool for data security, providing an added layer of security against data loss due to all types of software specifically designed to disrupt, damage, or gain unauthorized access to a computer system (i.e., malware).

Uniquely, the Blockchain Archive Server is a turn-key solution that can stand alone or seamlessly integrate into an existing data infrastructure to quickly recover from a cyber-attack. The Blockchain Archive Server is a server that comes pre-loaded with the blockchain-powered cybersecurity software, which can be delivered, installed and integrated into a clients computer systems with ease.

For more information please visit: https://www.sollensys.com.

Forward-Looking Statements: Certain information in this press release contains forward-looking statements. All statements other than statements of historical facts included herein are forward-looking statements. In some cases, forward-looking statements can be identified by words such as believe, expect, anticipate, plan, potential, continue or similar expressions. Such forward-looking statements include risks and uncertainties, and there are important factors that could cause actual results to differ materially from those expressed or implied by such forward-looking statements. These factors, risks and uncertainties are discussed in the Companys filings with the Securities and Exchange Commission (the SEC). You should carefully consider these factors, risks and uncertainties described in, and other information contained in, the reports we file with or furnish to the SEC before making any investment decision with respect to our securities. Readers should not place any undue reliance on forward-looking statements since they involve known and unknown, uncertainties and other factors which are, in some cases, beyond the Companys control which could, and likely will, materially affect actual results, levels of activity, performance or achievements. Any forward-looking statement reflects the Companys current views with respect to future events and is subject to these and other risks, uncertainties and assumptions relating to operations, results of operations, growth strategy and liquidity. The Company is under no obligation (and expressly disclaim any such obligation) to publicly update or revise these forward-looking statements for any reason, or to update the reasons actual results could differ materially from those anticipated in these forward-looking statements, even if new information becomes available in the future.

Investor Relations:

Sollensys Corp866.438.7657www.sollensys.com[emailprotected]https://business.facebook.com/Sollensys/https://www.linkedin.com/company/sollensys-corp/

SOURCE: Sollensys Corp

View source version on accesswire.com: https://www.accesswire.com/688818/Sollensys-Corp-Quantum-Computing-Threat-The-Best-Offense-is-an-Even-Better-Defense

Quantum and the art of noise – ComputerWeekly.com

February 15, 2022 | Author: admin

Noise, huh, whats it good for? Absolutely nothin. Apart from the geniuses trying to further the advancement of noisy intermediate quantum computing (Nisq), noise means errors. Lowering the error rate in this emerging area of computing requires significantly more physical qubits for every useful logical qubit.

Computer Weekly recently spoke to a number of experts in the field of quantum computing and a picture is emerging of quantum computing, which illustrates the efforts going into making something practical, out of a technology that few truly understand. It promises so much. Imagine being able to solve problems in a way that is simply impossible with existing high performance computing. By being able to simulate chemistry at the quantum level, a quantum computer opens up huge opportunities in material science and a way to control chemical reactions in industrial processes to achieve outcomes such as reducing harmful emissions and waste or improving yield.

One of the new companies trying to make the most of existing tech is Algorithmiq. Its co-founder and CEO Sabrina Maniscalco, believes that full tolerance in quantum computing will require technical advances in manufacturing and may even require fundamental principles to be discovered because, as she says: The science doesnt exist yet. Her company has just received funding to help it develop algorithms for the pharmaceutical sector that can cope with todays noisy quantum computers.

Many of the labs running quantum computing systems, need to operate at close to absolute zero (-273 degrees celsius) to form superconducting qubits. But this level of cooling is not particularly scalable, so one of the on-going areas of research is how to achieve quantum computing at room temperature. This is the realm of the trapped ion quantum computer, and requires an entirely different approach. Winfried Hensinger, chief scientist at Universal Quantum, a spin out from Sussex University, believes that trapped ion quantum computers are more resilient to noise. He says: The ion is naturally much better isolated from the environment as it just levitates above a chip.

Another startup, Quantum Motion, spun out of UCL, is looking at how to industrialise quantum computing by being able to measure the quantum state of a single electron in a silicon transistor. Significantly, this transistor can be manufactured using the same chip fabrication techniques that are used in the manufacture of microprocessors.

These three examples represent a snapshot of the level of ingenuity that is being poured into quantum computer research. A universal quantum computer may be years off, but something usable and scalable is almost within earshot.

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Quantum and the art of noise - ComputerWeekly.com

Mark Zuckerbergs metaverse will require computing tech no one knows how to build – Protocol

February 15, 2022 | Author: admin

Hello, and welcome to Protocol Enterprise! Today: Building Mark Zuckerbergs metaverse will require every chip to be an order of magnitude faster, Intel is in talks to buy Tower Semi, and the latest funding deals in enterprise tech.

Unicorns arent so rare in cybersecurity anymore. Thirty cybersecurity companies achieved valuations of more than $1 billion last year, up from just six in 2020, according to a new report from Momentum Cyber. And investors invested $29.3 billion in venture funding in 2021, up from $12.4 billion the year before.

A disconnect has formed between the way corporate America is talking about the dawning concept of the metaverse and its plausibility based on the nature of the computing power that will be necessary to achieve it. To get there will require immense innovation, similar to the multidecade effort to shrink personal computers to the size of an iPhone. No one knows how or where to start, let alone whether the devices will still be semiconductors.

The metaverse may forever remain science fiction.

The metaverse will likely only become a reality with a generational leap in computing. Yet nobody can describe the system requirements specifically, because it will be a sharp departure from prior shifts in computing.

Quantum computing is probably not the solution but it could be. The tech is largely theoretical today, and decades from practical applications.

Chip manufacturing technology will also need to leap forward. Companies such as TSMC and Intel are already pushing the boundaries of physics with extreme ultraviolet lithography machines to print the most advanced chips.

Max A. Cherney (email | twitter)

Intel is in talks to acquire the Israeli chip manufacturing business Tower Semiconductor for nearly $6 billion, The Wall Street Journal reported late Monday.

If the deal closes, it would boost Intels manufacturing capacity for older, less advanced chips. Intel has historically focused on the most advanced processors, or leading edge chips, and sold off older equipment to other companies. The Journal said the acquisition could be made public as early as this week.

But last year, under newly appointed CEO Pat Gelsinger, Intel said that it was creating a contract manufacturing unit to make chips designed by other companies, such as Qualcomm. Adding Tower Semis group of factories to Intels existing infrastructure would likely expand the companys range of manufacturing offerings to include some of the less advanced chips used in autos, defense, and medical devices.

Dataiku is the only AI platform that connects data and doers, enabling anyone to transform data into real business results from the mundane to the moonshot. Because AI can do so much, but there's no soul in the machine, only in front of it. Without you, it's just data.

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Branch was valued at $4 billion after raising $300 million for its enterprise marketing tech platform.

Starburst was valued at $3.35 billion after a $250 million funding round for its analytics engine.

Salt Security reached a valuation of $1.4 billion after raising $140 million for its API protection platform.

Xpressbees hit a valuation of $1.2 billion after raising $300 million for its logistics platform.

The World Economic Forum is hosting a Web3 briefing on digital privacy moderated by our very own Kate Kaye. Register and tune in Tuesday at 10 a.m. ET.

Dinobabies at IBM: Documents in an age-discrimination lawsuit show high-level discussions at the company to phase out older employees, according to The New York Times.

Taiwan-based Foxconn has formed a joint venture with Vedanta to make chips in India amid the global shortage, Reuters reported.

Learn more

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Mark Zuckerbergs metaverse will require computing tech no one knows how to build - Protocol

Key Senators Have Voted For The Anti-Encryption EARN IT Act – EFF

February 15, 2022 | Author: admin

Earlier today, the Senate Judiciary Committee voted to advance the dangerous EARN IT bill. Were disappointed to see the committee advance this misguided bill. If enacted, EARN IT will put massive legal pressure on internet companies both large and small to stop using encryption and instead scan all user messages, photos, and files.

The bill could now be voted on by the full Senate at any time, or worse, included as part of a different must-pass legislative package. We need you to contact your representatives in Congress today to tell them to vote against this bill.

TAKE ACTION

TELL CONGRESS TO REJECT THE EARN IT ACT

We have expanded our action tool to contact both Senators and members of the House of Representatives. If you have already taken our action to contact your Senators, please take it again to make sure you contact lawmakers in both houses.

The bill sponsors have falsely stated that the EARN IT Act is needed to protect children. But the kind of abusive images theyre concerned about are already highly illegal under federal law. Any internet platforms that knows about child sexual abuse material (CSAM) being distributed or received are required to take action on it, and can be prosecuted if they do not.

EARN IT will allow states to lower the legal standard required for prosecutions over CSAM, and it will let the use of encryption be evidence in lawsuits and criminal trials. The overt goal of EARN IT is to pressure internet companies to start doing widespread scanning of user messages and photos. This scanning is incompatible with strong encryption.

The harms will fall on the most vulnerable people. Once we allow encryption to be compromised to scan for CSAM,, authoritarian regimes will demand the same capabilities to track information shared by activists and journalists. People subject to domestic abuse, including children, wont have secure channels of communication to report and reach out for trusted help.

Were glad to see that several senators echoed concerns raised by human rights groups throughout the U.S. and the world. They suggested they might not support the bill if it doesnt strike a proper balance between fighting crimes against children, and user rights to privacy and encryption.

But the current bill does not strike a balance because there isnt one to strike. The sponsors of the bill have made it clear they want to surveil user messages, and have even distributed literature suggesting which software they prefer be used.

EARN IT threatens to punish companies that dont start following a specific list of law enforcement demands. Among them: start scanning messages. End-to-end encryption is simply not compatible with the type of surveillance that states will demand, and that the bills sponsors have explicitly suggested. Just this week, bill sponsor Sen. Richard Blumenthal told The Washington Post that he rejected the idea of creating a broad exemption in the bill for the use of encryption, because he didnt want encryption to be a get out of jail free card.

We can still stop this bill if theres enough public pushback. We all have a right to privacy, and to use encrypted services to protect our privacy. Dont let Congress take that away.

TAKE ACTION

TELL CONGRESS TO REJECT THE EARN IT ACT

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Key Senators Have Voted For The Anti-Encryption EARN IT Act - EFF

Thales Expands Relationship with Google Cloud to Increase Customer Trust in the Cloud – Business Wire

February 15, 2022 | Author: admin

PARIS LA DFENSE--(BUSINESS WIRE)--Building on the two companies long standing partnership, Thales and Google Cloud are now working together to strengthen data security for customers migrating their workloads to the cloud. The Thales and Google Cloud solution enables Ubiquitous Data Encryption, a unified offering that provides complete control over data at-rest, in-use, and in-transit with comprehensive centralized key control owned and managed by the customer. It leverages the combined power of Google Clouds Confidential Computing, a breakthrough technology that encrypts data in-use while it is being processed, and Thaless CipherTrust Cloud Key Manager, to create and manage their encryption keys in Google Cloud.

Increasing trust in the cloud

According to the 2021 Thales Data Threat Report, more than half (51%) of all organisations surveyed are shifting their workloads and data to the public cloud, making data security and control even more important. The integrated Thales and Google Cloud solution ensures that data at-rest, in-transit and now data in-use cannot be accessed via the cloud service provider, offering confidentiality of the customers data.

As a result of Google Clouds Ubiquitous Data Encryption, organisations now have a way for highly-sensitive data to be used in GCP. This is achieved by only granting access to data usage via a confidential Virtual Machine (VM) with encryption keys hosted outside of GCP, and key management handled via an external cloud key manager, like CipherTrust.

To facilitate the future of secure data transfer, we must be able to put control entirely in the hands of the customer. Google Clouds Ubiquitous Data Encryption allows the end user to reduce the amount of implicit trust involved in data storage and transfer. By bringing in a trusted third-party platform like Thaless CipherTrust Data Security Platform, we can provide our customers with the data security solution they need to seamlessly encrypt and decrypt their sensitive and proprietary information, said Nelly Porter, Group Project Manager, Cloud Security at Google.

Ensuring strong key management

The integrated solution leverages Thaless CipherTrust Cloud Key Manager to allow users to create encryption keys and establish rules for wrapping and unwrapping each key, providing support for several specific confidential computing use cases.

Since 2017, we have been working together with Google Cloud to make it possible for enterprises to put their trust in the cloud with more sovereign control over their data security. Recently, we have announced in France the co-development a trusted cloud that will also rely on our CipherTrust solutions. Our support of Google Clouds Ubiquitous Data Encryption is another indication of our shared vision to deliver organisations around the globe with solutions that allow them to securely control and manage their data no matter where it resides, said Todd Moore, VP Encryption Products at Thales.

Increasing customer control

Thaless CipherTrust Data Security Platform allows the end user to maintain strong ownership of their data on-premises and in the cloud, as well as when moving sensitive workflows and data to the cloud. The new, integrated solution for GCP represents a new use case for Hold Your Own Key (HYOK), stemming from Thaless extensive experience building HYOK solutions for customers migrating their workloads to the public cloud.

Google Cloud customers using the Confidential VMs powered by AMD EPYC processors can encrypt data in use using the advanced security feature, Secure Encrypted Virtualization, which is available on AMD EPYC CPUs. With confidential computing, customers can be confident that their data will stay private and encrypted even while being processed.

Confidential Computing addresses key security concerns many organizations have today in migrating their sensitive applications to public cloud. Google Confidential VMs, powered by AMD EPYC processors and using its Secure Encrypted Virtualization (SEV) feature, enables protection thats transparent from applications, helping customers safeguard their most valuable information while in-use by applications in the public cloud, added Raghu Nambiar, corporate vice president, Data Center Ecosystems and Solutions, AMD.

Additional information

About Thales

Thales (Euronext Paris: HO) is a global leader in advanced technologies, investing in digital and deep tech innovations connectivity, big data, artificial intelligence, cybersecurity and quantum computing to build a confident future crucial for the development of our societies. The Group provides its customers businesses, organisations and governments in the defense, aeronautics, space, transport, and digital identity and security domains with solutions, services and products that help them fulfil their critical role, consideration for the individual being the driving force behind all decisions.

Thales has 81,000 employees in 68 countries. In 2020 the Group generated sales of 17 billion.

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Thales Expands Relationship with Google Cloud to Increase Customer Trust in the Cloud - Business Wire

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