We can sum Bed Bath & Beyond’s woes up in three words; Amazon (NASDAQ: AMZN), Wayfair (NYSE: W), and Walmart (NYSE: WMT).
Artificial Intelligence’s real edge over human beings is the ability to focus on what’s important. For instance, an artificial intelligence (AI), a digital robot, or an algorithm can focus 100%…
Classic value investors will say Beyond Meat is sexy, friendly, and fashionable but Uber is not. Yet, value investors will point out that 95 million people pay cash to use Uber’s service every month. Conversely, Beyond Meat’s products are new and only in a few markets.
Dynamic Yield’s platform could theoretically analyze a customer’s orders, and discover that individual usually buys a Big Mac around 1:30 p.m. on Tuesday. Consequently, Dynamic Yield could send the person a text or an email with a coupon for a free drink with a Big Mac at 1:00 p.m. on Tuesday. Accordingly, Dynamic Yield has built a “Triggering Engine.” A Triggering Engine is an app that automatically generates and sends emails and push notifications that will supposedly reach customers at critical moments.
However, I think none of those entities would attempt to organize something like Libra without the support of Central Banks. Facebook is taking the lead in the project because it is the one organization capable of reaching a large percentage of the world’s people instantly. Statista estimates Facebook’s social media 2.375 billion users in 1st Quarter 2019. In detail, Statista estimates Facebook itself had 2.32 billion users, WhatsApp had 1.6 billion users, Facebook Messenger had 1.3 billion users, and Instagram had one billion users in April 2019.
Emanate claims it can offer risk-free collaborations by using smart contracts. To explain, a smart contract is a digital construct built into a cryptocurrency or blockchain platform. BlockChain Hub describes a smart contract “as a computer code running on top of a blockchain containing a set of rules under which the parties to that smart contract agree to interact with each other. If and when the pre-defined rules are met, the agreement is automatically enforced.”
UFED Premium could present little threat to criminals but a menace to law-abiding citizens. Law-abiding citizens will have no defense against UFED Premium because the do not know it exists. Sophisticated criminals, however, will quickly learn of UFED Premium, and take precautions against it.
The most frightening aspect of Brookings’ report is an interactive feature that shows how vulnerable specific jobs are to automation. Disturbingly, technology is most likely to delete the positions held by the poorest and least-educated.
Consequently, I have to ask is Facebook really planning a cryptocurrency? I ask this question because there are serious technical and legal obstacles facing cryptocurrencies. The blockchain scalability problem is the biggest technical obstacle to a Facebook cryptocurrency. Today’s blockchains can only transmit tiny amounts of data at low speeds because all the encryption limits space. For instance, Ethereum creator Vitalik Beterin admits his cryptocurrency “can only process 15 transactions per second” (TPS), Invest in Blockchain reports. Thus, an Ethereum platform could crash if it tries to process over 15 transactions per second. Scalability could make a Facebook cryptocurrency impossible because Facebook itself had 2.38 billion users in 1st Quarter 2019, Statista estimates. In addition, Statista calculates WhatsApp had 1.6 billion monthly users in April 2019.
Moreover, Zephoria notes, “as of March 2019, “Snapchat reached 90 percent of all 13-24-year-olds and 75 percent of all 13-34-year-olds in the U.S.” Additionally, Zephoria calculates Snapchat had 60 million active users in Europe and 79 daily active users in North America in 1st Quarter 2019.
Statista estimates global PC/MMO (massive multiplayer online) gaming revenues at $30.7 billion for 2017. Additionally, Statista estimates 2017 revenue from MMOGs at $2.5 billion. Additionally, one category of MMOGs, Shooter online games saw its revenues increase by $237 million in North America in 2017.
Instead, almost everything labeled AI these days is merely better data processing. For example, in robotic process automation digital algorithms perform a function such trading stocks repeatedly. They call it robotic because a digital robot does the work. However, a digital robot merely mimics a human action without thinking.