Hybrid Cloud Digital RoundTable – Express Computer- Tempemail – Blog – 10 minute

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The world has been forced to operate one of the biggest work from home experiments, and the cloud has truly risen to its claim of being scalable and resilient. The sudden shift of millions of people to a remote work infrastructure has been made possible only due to the cloud.
But, every cloud is not the same, and the current business environment reflects a world where organisations need to quickly determine the right type of cloud for their different workloads, so that they can focus on innovating and delivering critical services, rather than administrating and monitoring.
However, this is easier said than done. How do you know what’s the best cloud for the specific workload? How do you decide which application is a fit for a public cloud environment? How do you plan for a specific cloud (hybrid, private or public) in times of unpredictable load? How do you plan for maximizing utilization? Many organizations find identifying their right mix to be a significant challenge, due to the complexity of their environment and the rate of change in technology and business.
To find answers to these compelling questions, watch the virtual “Cloud Roundtable” , jointly hosted by the Indian Express Group and HPE. This is an interactive digital roundtable of select CIOs and CTOs from the BFSI sector.
You are cordially invited to share your views and perspectives on best practices to choose the right cloud platform according to the workload. We will also have thought leaders and experts from HPE present their perspective and explain how HPE Right Mix Advisor (an industry-first offering that helps businesses develop their hybrid cloud strategies with confidence), can help enterprises choose the ‘right’ cloud according to their workload.
As a noted thought leader, we request your valuable presence virtually. We will also do a detailed report in Express Computer, on the key insights shared in this roundtable.

Roundtable Speakers:

Jitesh Nair, Country Lead – Hybrid IT Services, HPE
Srikanth RP, Editor, Express Computer, Indian Express Group

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Dell Beats Revenue Estimates – Express Computer- Tempemail – Blog – 10 minute

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Dell Technologies Inc beat analysts’ estimates for quarterly revenue on Thursday, boosted by demand for its workstations from companies moving more employees to work from home due to the coronavirus outbreak.
Shares of the company rose 8.3% to $49.38 in extended trading.
Revenue from client solutions group, that accounts for half of the revenue and includes desktop PCs, notebooks and tablets, rose 2% to $11.1 billion in its fiscal first quarter.
Commercial notebooks reported double-digit unit and revenue growth, while mobile workstations posted high-single-digit revenue growth, the company said.
“In Q1, we saw orders with banking and financial services, government, healthcare and life sciences customers up 15% to 20%,” Chief Operating Officer Jeff Clarke said in a statement.
But higher spending by companies towards enabling remote work, as well as weak demand in China weighed on Dell’s data center business.
Revenue in that business fell 8% to $7.57 billion in the three months ended May 1.
Total revenue fell marginally to $21.90 billion, but topped estimates of $20.81 billion, according to IBES data from Refinitiv.
Net income attributable to the company fell to $143 million, from $293 million a year earlier.
Dell in March scrapped its financial year 2021 forecast due to uncertainty over the impact of the coronavirus outbreak.
Sales from its software unit VMware jumped 12% to $2.76 billion.

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Computer chess: how the ancient game revolutionised AI | Plug into hybrid – Blog – 10 minute

Chess is well suited to computer programming.Photograph: Krisanapong Detraphiphat/Getty Images
When legendary chess grandmaster Garry Kasparov found himself beaten by IBM’s Deep Blue supercomputer, it was seen as a seminal moment in the evolution of artificial intelligence.
It was New York, 1997 and for the first time ever a computer had beaten a world champion under tournament conditions. This was the culmination of a journey in which the first stirrings of what we now call artificial intelligence and machine learning were born. A road trodden by war heroes and student researchers alike, whose singular desire to create a program that could beat the very best in the world would shape an entire science.
Early originsChess lends itself well to computer programming. Where other games can depend more on gut instinct or physical skill, chess is a game of strict binary rules – a move is either correct or it isn’t.
It’s a game where multiple permutations, strategies and responses to moves and gambits could all be pre-programmed. Teaching a computer how to select the best option from those available to counter a problem, though, was the tricky part, and that’s where machine learning came in.
Given the close relationship between chess, logic and programming it’s no surprise that the driving forces of early computerised incarnations of chess were academics whose love of the game dovetailed with their desire to push the boundaries of the burgeoning field of computer science.
One of those academics was Alan Turing. He may have made his name breaking Nazi ciphers at Bletchley Park, but he also helped lay the early groundwork for computerised chess too. In 1947, while working at the University of Manchester, Turing developed the first simple algorithm that was capable of analysing an opponent’s move one step ahead. Four years later, his academic colleague DG Prinz wrote a program that could solve particular moves, but not play a game.
Competitive gamesThe 1960s saw computer chess start to come into its own. In 1967, MacHack VI, a program written by MIT student Richard Greenblatt, was able to draw a game in a US Chess Federation tournament, losing four. But this was just the start and its results began to improve.
New York City hosted the first US computer championship in 1970; it was won by Chess 3.0, a program put together by a team from Northwestern University.
And in 1988, HiTech, a computer developed at Carnegie Mellon University, defeated grandmaster Arnold Denker, in a match. In the same year, another Carnegie Mellon program, Deep Thought, defeated top-notch grandmaster Bent Larsen in a tournament game.
Humans strike backDeep Thought’s defeat of Larsen was a huge moment for early AI. But this success was short-lived – the program was easily bested later that year by Garry Kasparov.
This setback prompted the team behind Deep Thought to push further and further to refine their model. In their view, Kasparov’s success was simply check – but it wasn’t check mate. The team’s success caught the eye of US computer giant IBM, which brought them aboard as part of a dedicated chess programming group tasked with devising a way to beat Kasparov and they developed a successor to Deep Thought called Deep Blue. It incorporated a sophisticated new multiprocessing system that enabled it to consider as many as 50bn positions in three minutes, about a thousand times faster than Deep Thought’s system.

Garry Kasparov takes on Deep Blue in 1997. Photograph: Sipa/Shutterstock
Kasparov vs Deep BlueDeep Blue made its professional chess-playing debut in a six-game match with Kasparov in Philadelphia in February 1996. A bumper $500,000 prize and IBM covering the match on its website – the web was still in its infancy back then – helped draw huge media attention.
Deep Blue won the first game, but Kasparov adapted his tactics to win three and draw two of the remaining games to win the match 4–2.
But in a six-game rematch held in May 1997 in New York City, an upgraded Deep Blue was able to consider an average of 200m positions a second, twice its previous speed. Its algorithm was also improved with input from human grandmasters.
Kasparov played smart though, he was conservative with his moves which threw Deep Blue off balance – it hadn’t expected it. But after resigning the second game even though it was drawable, the Russian said he never recovered mentally. With the match tied at one win, one loss, and three draws, Deep Blue won the decisive final game in 19 moves.
Influence on AIThe lessons learned from the desire to create a program that could beat a human chess champion enhanced AI.

Murray Campbell, one of IBM’s top AI experts, originally worked on the Deep Thought and Deep Blue projects. He now works on artificial neural networks and credits the quest to master chess programs with helping his team understand the importance of identifying the differences between how humans and machines think, but also in how they’re similar.
Efforts to master chess, though, still continue to drive the development of AI. One of the criticisms of Deep Blue and subsequent machines is that they relied on the “brute force” application of their superior memory skills – they could remember more permutations than a human. They could out-calculate, rather than out-think.
AI company DeepMind’s algorithm AlphaZero set out to change that. It could teach itself how to play chess and learn from its own mistakes. Not only that, it was able to play with intuition and finesse, destroying the reigning artificial chess champion Stockfish during a match in 2017. It played like a human and at times appeared to even toy with its opponent before delivering a killer blow.
Even now, the desire for the perfect tech-mate is continuing to push the boundaries of AI.
Technology drives the world, and is the beating heart of every BMW. Discover how BMW is pioneering plug-in hybrid vehicles at bmw.co.uk

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The Cyber Attackers’ Playbook – Express Computer- Tempemail – Blog – 10 minute

Express Computer is one of India’s most respected IT media brands and has been in publication for 24 years running. We cover enterprise technology in all its flavours, including processors, storage, networking, wireless, business applications, cloud computing, analytics, green initiatives and anything that can help companies make the most of their ICT investments. Additionally, we also report on the fast emerging realm of eGovernance in India.

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Unfixable Thunderbolt flaws bypass computer access security – Hardware – Security- Tempemail – Blog – 10 minute

A Dutch masters student has found vulnerabilities in the Thunderbolt input/output port hardware design that lets attackers fully bypass computer access security measures such as Secure Boot, login passwords and full-disk encryption.
Physical access to computers are required however, to perform the attack that MSc student Björn Ruytenberg named Thunderspy.
The attack [pdf] takes about five minutes, and leaves no traces otherwise.
Designed by Intel and Apple, and included in millions of Windows, Linux and Mac computers since 2011, Thunderbolt is a high-speed peripheral interconnect system that can daisy-chain up to six devices.
To achieve the high bandwidth of up to 40 gigabit per second, Thunderbolt devices use direct memory access (DMA) which researchers last year showed could be abused to fully take over computers.
Ruytenberg’s Thunderspy is a collection of seven vulnerabilities that break Intel’s Security Levels architecture for Thunderbolt versions 1, 2 and 3, which is allows users to authorise trusted devices only.
On Macs, running Windows or Linux within Apple’s Boot Camp emulator disables all Thunderbolt security, making attacks trivial to perform.
By exploiting the vulnerabilties, Ruytenberg created nine practical exploits.
These allowed him to create arbitrary Thunderbolt devices, and to clone already user-authorised ones and to obtain PCIe bus connectiivty to perform DMA attacks.
It is also possible to permanently disable Thunderbolt security and block all firmware updates, Ruytenberg found.

Plugging in malicious Thunderbolt cables, USB-C to DisplayPort or HDMI video output dongles or external hard drives could let attackers break into the vast majority of recent laptops and desktops, if they have physical access to the devices.
Apple and Intel have been notified of the vulnerabilties, which appear to be unfixable as they are likely to require a hardware redesign.
To mitigate against the Thunderspy vulnerabilties, Ruytenberg suggests to implement physical security if it isn’t feasible to disable the Thunderbolt controller entirely.
This includes only connecting your own Thunderbolt peripherals, and not lending them to anybody or leaving them unattended.
Users should not leave their systems powered on even with the screen lock enabled.
Suspend to disk hibernation or completely powering off systems instead of using suspend to memory sleep mode is also recommended for additional protection against Thunderspy exploitation.
Intel implemented kernel DMA protection last year which partially mitigates against Thunderspy.
The protective measure could reduce performance however, and in some cases causes compatibility issues with Thunderbolt devices that stop working, if their drivers don’t support DMA remapping.
Whether or not the most recent version 4 of Thunderbolt, introduced by Intel this year, is vulnerable is unknown at the moment.
USB 4 that was introduced last year supports Thunderbolt-based signalling, and Ruytenberg advised users to exercise caution until hardware designed with the new peripheral interconnect protocols has been tested to ensure the current vulnerabilities are addressed.
There could be further Thunderbolt vulnerabilties arriving, as Ruytenberg is continuing his Thunderspy research with a second part.
Ruytenberg has released the Spycheck free open source tool for Windows 7, 8.x and 10, and Linux kernel 3.6 and later, to help users find out if their systems are vulnerable.
 

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Kraftwerk’s vision of computer love | Kraftwerk- Tempemail – Blog – 10 minute

F
lorian Schneider’s music was uncannily prophetic as well as transcendent (Obituary, 7 May). For instance, Kraftwerk’s beautiful Computer Love predicted how, in the future, intimacy would increasingly occur through technology. Of course, during the present emergency, the closest many lovers come to being together is by using a virtual medium.Joe McCarthyDublin
• On a recent essential car journey from home to London, mainly on the M1, it was not only noticeable how few cars were on the road but also, as I returned home in the evening, how many more dead insects there were on my windscreen. Is one upside of the lockdown and reduction in car travel an apparent recovery in insect numbers, and will this be sustained?Prof Michael SymondsLoughborough, Leicestershire
• On Wednesday, here in South Northamptonshire, after many years, we heard a cuckoo. Is it there a causal connection with Covid-19, or is it coincidence?Geoff MawerTowcester, Northamptonshire
• However many cases of Covid-19 there may be on San Serriffe (Letters, 6 May), surely a more pressing question, in these days of social distancing, is whether or not it is still moving towards Sri Lanka at a rate of about 1.4km per year?Fr Alec MitchellHolyhead, Anglesey
• You report (Love Island cancelled after move from Mallorca to Cornwall ruled out, 4 May) that the 2020 edition of Love Island has been cancelled; wouldn’t a more apt description be “pulled”?Adrian BrodkinLondon
• Join the debate – email [email protected]
• Read more Guardian letters – click here to visit gu.com/letters

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US Supreme Court to consider limiting reach of computer fraud law – Security- Tempemail – Blog – 10 minute

The US Supreme Court will consider whether to limit the type of conduct that can be prosecuted under a federal computer fraud law in a case it took up on Monday involving a former Georgia police officer convicted after agreeing to investigate whether a purported local stripper was an undercover cop.
The justices will hear Nathan Van Buren’s appeal of his conviction under the Computer Fraud and Abuse Act for conducting a search of law enforcement records to dig up information for an acquaintance who gave him cash in return while serving as a police sergeant in the city of Cumming.
Van Buren was convicted in 2017 on two federal charges arising from an FBI sting operation two years earlier and was sentenced to 18 months in prison, which he has yet to serve.
The computer fraud law, enacted in 1986, prohibits accessing a computer without authorization and also exceeding authorized access. Van Buren has said that as a police officer he was authorised to use the computer and the fact that the search he conducted lacked a proper motive does not mean he violated that particular law.
Van Buren, suffering financial difficulties, had asked a local man, Andrew Albo, for money. Albo alerted law enforcement authorities and the FBI devised a sting in which Albo offered to pay Van Buren money to run a search for a license plate on a law enforcement database. Albo’s fictional story was that he wanted to find out if a local stripper was an undercover cop.
Albo gave Van Buren US$6,000 and Van Buren conducted the search. Van Buren was convicted of one count of violating the computer fraud law and a separate count of honest services fraud.
 The Atlanta-based 11th US Circuit Court of Appeals in 2019 threw out the honest services fraud conviction. Van Buren then appealed to the Supreme Court to try to overturn the computer fraud conviction. Prosecutors plan to retry him on the honest services charge.
Van Buren’s lawyers have said the broad interpretation of the 1986 law embraced by some courts could criminalize innocent behavior including people using work computers to participate in college basketball office pools.
The federal government frequently brings cases under the law and businesses often cite its civil provision to bring cases against employees.
President Donald Trump’s administration urged the Supreme Court to leave Van Buren’s conviction in place. The Justice Department said prosecutors already must follow guidance limiting the circumstances under which they can bring charges.
The court will hear arguments and rule in the case in its next term, which starts in October.

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Tariff pain turns to gain: US computer stockpiles help meet virus rush – Finance – Hardware – Storage- Tempemail – Blog – 10 minute

As the coronavirus outbreak forced classes online, Boston Public Schools ordered 20,000 laptops and had them in hand in four days – an unusually fast turnaround made possible by a build-up of inventory prompted by the US-China trade war.
Computer companies including Boston school vendor Acer Inc ordered extra laptops for import in early December ahead of scheduled US tariffs on products from China, where 90 percent of the world’s laptops and monitors are made.
While the tariff plans have since been canceled as part of a “phase one” trade deal, the build is letting companies meet a surge in demand from US students and workers stuck at home due to lockdowns, even as customers in Japan, India and Britain face weeks-long delays and “out of stock” signs.
“We’re going to be able to fulfill everything for everybody” in the United States, said Richard Black, a vice president of marketing at Acer, which sold about as many laptops worldwide as Apple Inc last year.
“It turned out to be an excellent call to order early.”
Other products sought after by families on lockdown, including toys and computer monitors, are also relatively plentiful in the United States. They too had been scheduled to fall under a 15 percent tariff starting last Dec. 15.
California-based MGA Entertainment, which sells Little Tikes backyard toys and LOL Surprise collectible dolls, in December placed an import order for 15 percent more than normal from China, or slightly under US$10 million in goods, CEO Isaac Larian said.
It has been able to fulfill about 60 percent of US demand as consumers seek ways to entertain their children at home.
Fulfillment rates are lower in Europe, where MGA did not bring in extra products, Larian said.
“It did work out a little but the supply chain is still disrupted majorly,” he said.
The virus closed many factories in China for a month or more, delaying spring-time deliveries to warehouses globally.
The coronavirus originated in China last year and has since spread across 205 countries and territories. Globally it has infected more than 850,000 people and killed over 42,000, according to a Reuters tally.
For an interactive graphic tracking the global spread of the virus: open https://tmsnrt.rs/3aIRuz7 in an external browser.
Demand is buzzing
Some popular computer monitors now are out of stock even in the United States as a result of the work-from-home rush, said Linn Huang, an analyst at technology market tracker IDC.
On Amazon.com, merchants have raised prices on top-rated consumer laptops by US$50 to US$100, according to tracking on price comparison tool CamelCamelCamel.
However, businesses purchasing from commercial sellers have not seen price jumps, according to industry analysts.
Boston schools paid US$5 million, or about the usual US$250 each, for the 20,000 Chromebooks sent by Acer on two trucks each from warehouses in Los Angeles and Chicago.
“Now is not the time when dealing with children and education environments to try to jack up prices and have some short-term profitability,” Acer’s Black said.
Analysts expect laptop demand to slow if the global economy sputters further and widespread layoffs continue due to the impact of the virus.
But with many still tuning their work-from-home set-ups, demand is buzzing. Computer exports from South Korea surged 82 percent in March over last year.
Some computer makers are even weighing the expensive move of transporting devices by plane versus boat, said Jeff Lin, a Tapei-based researcher at Omdia.
The goal, he said, is to gain market share by being first to get devices in stock.

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Securing the Digital Business – Express Computer- Tempemail – Blog – 10 minute

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Digital transformation creates unprecedented opportunities for organizations, but also the unprecedented risk. 
Information and data security remain a major challenge.  Attacks are becoming more sophisticated and organized as organizations across all major industry sectors are hacked for various forms of identity theft and credit card information. The result is lost business, lost customer trust and impacted end user experience.
Just to share some statistics, IHS Markit is assertive that IoT devices will be 5x (around 125B) by 2030. The International Data Corporation’s (IDC) Worldwide Quarterly Wearable Device Tracker report states that the number of wearable devices will be 2x by 2021 (230M) while Cybersecurity Ventures predicted that Cybercrime damages will be 2x ($6T) by 2021 and Cyber security spending will be 10x ($1T) by 2021.
As organizations embrace the digital mosaic – the new cloud-based platforms and solutions now available – organizations must meet the challenge to keep pace with safeguarding their assets, especially data and identity. But these challenges are also motivating organizations to act to avoid the financial penalties due to security breaches, customer attrition, avoidance of reputation. They realize the value to their brand protection, adherence to meet the regulatory and compliance requirements and to maintain competitive advantage. 
It is often observed that business trends follow IT trends and IT trends follow attack trends, which in turn leads to implementing security solutions for preventing attacks. 
Let’s look at how some industries are embracing new technologies:

Connected Health care industry: This industry has started using IoT, Cloud, Analytics, Wearable devices, Payment Gateway
Connected Automobile: This industry has started using IoT, Cloud, Big Data, Cognitive automation, Payment Gateway
Smart Home: This industry has started using IoT, Cloud, Analytics etc

With the convergence and integration of these complex technologies, it poses new security challenges from end point devices to cloud infrastructure, leading to new threats of data and security breaches. Employees, contractors, vendors and partners use various end point devices (personal, corporate, mobile, IoT, laptop, desktop, virtual machines etc), all operating from different geographies and with applications hosted in the cloud and exposed to various partner ecosystems through API’s. The enterprise is no longer the perimeter. The entire cloud is the new perimeter.
To mitigate these ever-growing challenges, the solution is to be more agile to deal with new threats. This calls for flexible security platforms, building a security framework, involving business stakeholders in building security strategy, setting up governance and compliance processes and risk mitigation.  This security framework must give continuous visibility on the security landscape, setup appropriate security controls, have continuous monitoring, assess risks and come up with the risk mitigation plan on a periodic basis.
Persistent started its cloud journey over six years ago. Our strategy became cloud first. We also setup various measures of security controls in public cloud from a governance perspective, enabled SSO/RBAC, data encryption, continuous monitoring and an alert process.  Good security controls also require a good process and to setup adequate measures of security controls on end point where many security breaches originate. 
Persistent is also setting up software defined access solutions for checking end points before connecting to corporate networks and applications. The same solution helps to set up the borderless ODC’s, providing flexibility to employees to work from any location and improve employee productivity. 
The future will see only more cloud platforms and applications, and with that more integrated operations. Securing digital platforms will therefore be a continuous and agile process.  The architecture will continue to be Zero Trust architecture as we no longer assume that the actors, systems and services operating should be automatically trusted. Instead each and everything must be verified and monitored closely.
Authored by Sandeep Deshmukh, Sr General Manager, Persistent Systems

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TensorFlow Contributed By Noble.AI – Express Computer- Tempemail – Blog – 10 minute

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Noble.AI, whose artificial intelligence (AI) software is purpose-built for engineers, scientists, and researchers and enables them to innovate and make discoveries faster, today announced that it had completed contributions to TensorFlow, the world’s most popular open-source framework for deep learning created by Google.
“Part of Noble’s mission is building AI that’s accessible to engineers, scientists and researchers, anytime and anywhere, without needing to learn or re-skill into computer science or AI theory,” said Dr. Matthew C. Levy, Founder and CEO of Noble.AI. He continued, “The reason why we’re making this symbolic contribution open-source is so people have greater access to tools amenable to R&D problems.”
TensorFlow is an end-to-end open source platform for machine learning originally developed by the Google Brain team. Today it is used by more than 60,000 GitHub developers and has achieved more than 140,000 stars and 80,000 forks of the codebase.
Noble.AI’s specific contribution helps to augment the “sparse matrix” capabilities of TensorFlow. Often, matrices represent mathematical operations that need to be performed on input data, such as in calculating the temporal derivative of time-series data.  In many common physics and R&D scenarios these matrices can be sparsely populated such that a tiny fraction, often less than one percent, of all elements in the matrix are non-zero. In this setting, storing the entire matrix in a computer’s memory is cumbersome and often impossible all together at R&D industrial scale.  In these cases, it often becomes advantageous to use sparse matrix operations.
Noble.AI’s code is already available to all users of TensorFlow 2.2 and higher and is also part of the tf.nightly release. More information and usage particulars are available in the Noble.AI open-source GitHub.

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