Bitcoin’s Volatility Is a Feature, Not a Bug

Bitcoin’s Volatility

Bitcoin’s Volatility

Another suicide has made its way to media scrutiny, and crypto markets plummeting was promptly highlighted as the ultimate cause. It’s time to consider our mental health as investors in light of bitcoin’s infamous feature – volatility.

Bitcoin’s ”Death” Is Not the End of the World

Dear Reader, perhaps you’re considering a jump into the bitcoin investing pool. The waters, while choppy, seem warm and inviting. They are in a lot of ways. Prior to laying down any significant sums, it’s right and good to help you orient yourself for what’s ahead. First, you’re valued. That’s right. For decentralized currencies to work, we have to have a strange kind of faith in your being rational an actor enough to expand the network, either as an investor, hodler, or through development and mining aspects. You don’t have to be a good person necessarily, but you do have to possess at least slivers of our ethos, finding value in a trustless, borderless, payment system and currency. And that you do makes you valuable.

Contrary to portrayals in the media or government schooling textbooks, freer markets, quasi-anarchic systems such as bitcoin and crypto aren’t looking to gain at your demise. Just the opposite is true, in fact: everyone needs you to thrive, to do well. The more people having a great experience with cryptocurrencies, finding meaning within it in their own ways, the more innovation, growth, and eventual adoption. People feeling used, stupid, sorted as if this were some great Darwinian struggle for financial existence runs counter to literally everything bitcoin is about. That’s Old World thinking. That’s the Ponzi of fiat’s newer money getting into favored hands first, circulating down to the rubes later through inflation or redistribution schemes. That’s not bitcoin. That’s not us. We want you to see bitcoin/crypto as a long term project, and nothing like a get rich quick idea. You need to be very much alive to help us all get there.

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Article Credit: Bitcoin News

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Bitcoins Worth $4.7 Million Seized in Fake ID Case

As law enforcement grows increasingly adept at tracking Bitcoin transactions, federal investigators have seized some $4.7 million worth of Bitcoin in what has been described as a “large scale” fake ID operation.

That’s according to the Associated Press, which reports that a district court in Ohio has charged Mark Simon of falsifying identification documents. Authorities seized the cryptocurrencies, along with computers, printers, as well as gold and silver bars inside the home of the alleged fake ID maker.

Still, investigators didn’t find the alleged ID-maker’s trail using Bitcoin—but rather using Reddit. Simon was allegedly peddling his goods via Reddit—leaving a trail leading to a college student who told regulators that a friend bought a falsified ID using the site.

The news comes as criminals are gravitating toward other cryptocurrencies such as Litecoin or Monero instead of Bitcoin, as investigators grow more savvy with tracking the “poster child” of cryptocurrencies. Cryptocurrencies in general are thought to be favored in criminal transactions, as they are pseudonymous and harder to track. Though even with Bitcoin and its peers, the problem of marketing goods is still difficult for those hoping to erase their trail.

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Survey says: ERP changes, more human-machine interactions coming by 2030

A Dell survey finds strong belief that humans and machines will work as integrated teams within five years. ERP systems, especially inventory, will be top automation target.

By 2030, a major portion of ERP-related work may be handled by machines. These systems will increase in capability as the amount of data grows and as AI advances. Human-machine interactions will play a major role in business, and well before then.

The importance of human-machine interactions to business was ranked very high by the respondents participating in research by Dell Technologies and the Institute for the Future. The report is based on a survey of nearly 4,000 business leaders. More than eight in 10 (82%) overwhelmingly agreed that they “expect humans and machines will work as integrated teams within their organization inside of five years.”

Further out, by 2030, smart machines will play an important role in ERP. Three of the top four functions that will be offloaded to machines, this survey found, are ERP-related: inventory management, financial administration — invoicing, purchasing orders, etc. — and, in fourth place, logistics. Troubleshooting was number three.

But overall, there is a lot of uncertainty about the technological future.

When asked if “automated systems will free up our time,” the response was split down the middle, with half agreeing and the other half disagreeing.

The answers also indicate questions about capabilities. For instance, respondents were asked whether “technology will connect the right person to the right task, at the right time.” Only 41% agreed, and the remainder disagreed. Respondents were evenly divided around this statement: “Not sure what the next 10-15 years will look like for our industry, let alone our employees.”

In an interview, Danny Cobb, Dell Technologies corporate fellow and vice president of global technology strategy, discussed human-machine interactions and other survey findings.

Cobb sees a wide range of qualitative and quantitative processes and technologies — AI, context and pattern recognition, voice and image recognition — gaining enterprise use. His responses were excerpted and edited.

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Article Credit: TechTarget

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UK the biggest contributor to ERP’s milestone

UK the biggest contributor

UK the biggest contributor

The European Recycling Platform (ERP) has announced it has collected and treated more than 3 million tonnes of WEEE across the continent since its foundation in 2002.

This equates to preventing the emission of more than 32 million tonnes of CO2, according to research undertaken by the pan-European WEEE compliance company.

Umberto Raiteri, CEO of the ERC, stated that the figures prove the need for producer responsibility in a competitive environment. He said: “Treating 3 million tonnes of WEEE shows that the ERP has contributed significantly to the EU circular economy and proves that extended producer responsibility in a competitive environment brings huge benefits for the environment at reasonable cost to producers. It also promotes innovation, which leads to higher quality treatment”.


The overall 3 million milestone  is the equivalent to the amount of WEEE generated by the European Union in a single calendar year. This was made up of 39 million televisions, nearly 70 million small domestic appliances and 12 million fridges.  The ERC operates across 13 European countries.

Just under 600,000 tonnes was collected by the ERP in the UK since 2002, which makes it the largest contributor. Germany was second, with just under 460,000.

The UK managing director of ERP John Redmayne, explained that it highlights that the work being done makes a difference. Speaking to, he said:  “While it is simply a milestone, it is great to celebrate as it gives us a reason to spread the message about what everyone is doing is making a difference. Of course, we don’t do this alone and it involves hundreds of municipalities who dozens of suppliers as well.”

Global production

A breakdown of the electronic waste being handled by ERPThe ERP explained that the amount of WEEE on the market is continuing to rise, not only in Europe but worldwide. In 2021, global production will reach 52 million tonnes, according to the recently released Global E-Waste Monitor report.

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Article Credit: LetsRecycle

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Cybersecurity job fatigue affects many security professionals

Infosec professionals face occupational hazards such as long hours, high stress levels, and career frustration that can lead to mental health issues.

Cybersecurity job fatigue

Cybersecurity job fatigue

The cybersecurity skills shortage is increasing, and it’s having a negative effect on information security professionals and their organizations.

According to ESG research, 51 percent of organizations report having a “problematic shortage” of cybersecurity skills in 2018. This is up from 45 percent in 2017.

This skills shortage has multiple implications. Organizations don’t have the right sized teams and operate in a perpetually understaffed mode. Often, the cybersecurity team lacks some advanced skills in areas like security analytics, forensic investigations, or cloud computing security, putting more pressure on the most experienced staffers to pick up the slack.

Finally, many organizations are so busy with day-to-day security operations that they have little time for ongoing cybersecurity training.

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IoT Expo Global

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The IoT Tech Expo North America is returning to Santa Clara, CA this fall with some exciting new additions including 2 co-located events, new topics and a larger expo! The 2017 event will host the Blockchain Expo and AI Expo so you can explore 3 ecosystems in 1, providing the opportunity to broaden your knowledge base and build new connections.

This year’s expanded agenda includes; IoT Innovations & Technologies, Connected Industry, Smart Transportation & Cities, Data & Security, IoT in Enterprise, Developing for the IoT, Blockchain Technologies, Blockchain for Enterprise, ICO’s & Cryptofinance, Transforming Financial Services, Developing Blockchain Applications, AI in the Enterprise, Consumer & Digital Transformation, AI for Developers and Bot & VA Development.

9,000 attendees. 3 events. 15 conference tracks. 300+ exhibitors. 300+ speakers.

Here are just some of the speakers you’ll be able to see at the event:

  • Lionel Chocron, VP Industry and IoT Solutions, Oracle
  • Ben Kieckhefer, Senator, State of Nevada
  • Cyril Perducat, Exec VP IoT & Digital Transformation, Schneider Electric
  • Maciej Kranz, VP, Strategic Innovations, Cisco Systems
  • Steve Chien, Senior Research Scientist, Autonomous Systems, NASA
  • Nina Bhatia, Managing Director, Connected Home, Centrica
  • Patrick Bass, CEO, Thyssenkrupp North America
  • Dr. Robello Samuel, Chief Technical Advisor & Technology Fellow, Halliburton
  • John Kenney, Director of Networking Research, Toyota InfoTechnology Center
  • David Fletcher, Chief Technology Officer, State of Utah
  • Daniel Kaufman, Deputy Director, Federal Trade Commission
  • David Coher, Principal, Reliability & Cybersecurity, Southern California Edison

There are a range of passes available from free expo passes to all-access Ultimate passes.

ERPINNEWS has partnered with IoT Tech Expo to provide passes at 20%discounted rate,  please register your interest below and avail the offer  now.

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Artificial intelligence is a huge part of the game for Nvidia now

Artificial intelligence is a huge part of the game

Artificial intelligence is a huge part of the game

Artificial-intelligence chips are still growing to be large part of chipmaker Nvidia’s business.

Nvidia announced $2.9 billion in total revenue in its Q24 2018, with $9.71 billion in revenue over the entire year. The company reported $606 million of that revenue from hardware sold for use in data centers, meaning just over 20% of Nvidia’s revenue now comes from AI-optimized data center hardware, up from 13% of its revenue this time last year.

Graphics processing units (GPUs) for gaming still make up the most of the company’s revenue, generating $1.73 billion this past quarter.

Enterprise-grade chips, deemed useful for popular AI computations, have been big, steady business for the Nvidia—the sector’s revenue has grown 524% over the last 4 years. Investors are watching the revenue stream closely, trying to determine whether the company will maintain sustained growth or saturate the market with the hardware.

Gaming, the company’s largest moneymaker, obviously can’t be ignored either. The growing popularity of PC gaming and e-sports have meant that sales of gaming GPUs are have steadily increased, according to Nvidia CEO Jensen Huang.

While volatile cryptocurrencies have increased demand for GPUs like the ones that Nvidia makes for gaming, the company tries to downplay the trend’s potential impact on its bottom line—in favor of the reliable growth that AI hardware brings.

“Nvidia has played down importance of crypto because they know it can be fickle depending on the price of the currency, and they want to support their fan base among gamers,” Kevin Cassidy, Stifel Financial Corp. analyst, said in the Wall Street Journal.

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Article Credit: Quartz

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AI Expo North America

ERPINNEWS has partnered with AI EXPO Global to offer great discounts to our readers

The AI Conference & Exhibition taking place 18-19th April at London’s Olympia is a showcase of next generation technologies and strategies from the world of Artificial Intelligence, an opportunity to explore and discover the practical and successful implementation of AI in driving forward your business in 2018 and beyond.

3 co-located events. 15 conference tracks. 12,000 attendees. 300+ speakers. 300+ exhibitors. 

The high-level conference will bring together forward-thinking brandsmarket leaders, AI evangelists and hot start-ups to explore and debate the advancements in Artificial Intelligence and the impacts within the Enterprise & Consumer sectors.  Topics covered include Business Intelligence, Deep Learning, Machine Learning, AI Algorithms, Data & Analytics, Virtual Assistants & Chatbots as well as case study based presentations proving an insight into the deployment of AI across different verticals.

The AI Expo will bring together over 2,000 visitors over the two days including IT decision makers, developers & designers, heads of innovation, brand managers, data analysts and scientists, start-ups and innovators, tech providers and venture capitalists.

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YOU DON’T READ privacy policies. And of course, that’s because they’re not actually written for you, or any of the other billions of people who click to agree to their inscrutable legalese. Instead, like bad poetry and teenagers’ diaries, those millions upon millions of words are produced for the benefit of their authors, not readers—the lawyers who wrote those get-out clauses to protect their Silicon Valley employers.

But one group of academics has proposed a way to make those virtually illegible privacy policies into the actual tool of consumer protection they pretend to be: an artificial intelligence that’s fluent in fine print. Today, researchers at Switzerland’s Federal Institute of Technology at Lausanne (EPFL), the University of Wisconsin and the University of Michigan announced the release of Polisis—short for “privacy policy analysis”—a new website and browser extension that uses their machine-learning-trained app to automatically read and make sense of any online service’s privacy policy, so you don’t have to.

In about 30 seconds, Polisis can read a privacy policy it’s never seen before and extract a readable summary, displayed in a graphic flow chart, of what kind of data a service collects, where that data could be sent, and whether a user can opt out of that collection or sharing. Polisis’ creators have also built a chat interface they call Pribot that’s designed to answer questions about any privacy policy, intended as a sort of privacy-focused paralegal advisor. Together, the researchers hope those tools can unlock the secrets of how tech firms use your data that have long been hidden in plain sight.

“What if we visualize what’s in the policy for the user?” asks Hamza Harkous, an EPFL researcher who led the work, describing the thoughts that led the group to their work on Polisis and Pribot. “Not to give every piece of the policy, but just the interesting stuff… What if we turned privacy policies into a conversation?”

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Article Credit: Wired

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Can We Keep Our Biases from Creeping into AI?

Creeping into AI

Creeping into AI

Eminent industry leaders worry that the biggest risk tied to artificial intelligence is the militaristic downfall of humanity. But there’s a smaller community of people committed to addressing two more tangible risks: AI created with harmful biases built into its core, and AI that does not reflect the diversity of the users it serves. I am proud to be part of the second group of concerned practitioners. And I would argue that not addressing the issues of bias and diversity could lead to a different kind of weaponized AI.

The good news is that AI is an opportunity to build technology with less human bias and built-in inequality than has been the case in previous innovations. But that will only happen if we expand AI talent pools and explicitly test AI-driven technologies for bias.

Eliminating Biases in AI: The People

Technology inevitably reflects its creators in a myriad of ways, conscious and unconscious. The tech industry remains very male and fairly culturally homogeneous. This lack of diversity is reflected in the products it produces. For instance, AI assistants like Apple’s Siri or Amazon’s Alexa, which have default female names, voices, and personas, are largely seen as helpful or passive supporters of a user’s lifestyle. Meanwhile, their male-branded counterparts like IBM’s Watson or Salesforce’s Einstein are perceived as complex problem-solvers tackling global issues. The quickest way to flip this public perception on its head is to render AI genderless, something I advocate for tirelessly and practice with Sage’s personal finance assistant, Pegg. The more long-term approach requires expanding the talent pool of people working on the next generation of AI technologies.

Diversifying the AI talent pool isn’t just about gender. Currently, AI development is a PhD’s game. The community of credentialed people creating scalable AI for businesses is relatively small. While the focus on quality and utility needs to remain intact, expanding the diversity of people working on AI to include people with nontechnical professional backgrounds and less advanced degrees is vital to AI’s sustainability. As a start, companies developing AI should consider hiring creatives, writers, linguists, sociologists, and passionate people from nontraditional professions. Over time, they should commit to supporting training programs that can broaden the talent pool beyond those who’ve graduated from elite universities. Recruiting diverse sets of people will also help to improve and reinvent AI user experiences.

Eliminating Biases in AI: The Technology

Software and hardware engineers regularly test new technology products to ensure they are not harmful to people or businesses that will use them in the real world. Engineers conduct testing in labs and research facilities before a product launches. Ideally, any harmful attributes of the product are uncovered and removed during the testing phase. While that is not always the case, a fundamental and virtually universal commitment to testing does significantly decrease potential risks for everyone producing the products.

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Article Credit: HBR

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