Google’s core DNA is search and engineering, though some would say engineering that is driven by the economics of search, which makes it hard for the company to see the world through any other lens. Apple’s lens is that of product, design, and experience. This allows it to make great phones and to put emphasis on privacy, but makes it hard for them to build data-informed services.
Facebook’s DNA is that of a social platform addicted to growth and engagement. At its very core, every policy, every decision, every strategy is based on growth (at any cost) and engagement (at any cost). More growth and more engagement means more data — which means the company can make more advertising dollars, which gives it a nosebleed valuation on the stock market, which in turn allows it to remain competitive and stay ahead of its rivals.
Facebook’s challenge is that their most lucrative market — the US and Canada — are saturated. And to keep making money in these markets — already a ridiculous $27 in ARPU for the last three months of 2017 — they need us to give more time and attention to them. This is a crisis situation for Facebook because it doesn’t make as much money from markets outside of the US and Canada. For the same three months, it made $2.54 in ARPU in Asia-Pacific, $1.86 in rest of the world, and $8.86 in Europe.
And if you’re dependent upon advertising you’re done. The public will not sit for it, only the cheapest individuals will endure ads, and then the ads don’t work on them, because they’re so damn tight. No, the people advertisers want to reach are the spenders, which is why everybody’s now advertising on Amazon, check it out, that’s where the dollars change hands.
So the networks and other ad-supported channels are on life support. They’re dependent upon hits, which come and go, and what do I always say…DISTRIBUTION IS KING!
So, just having good content is not enough, you’re reinventing the wheel every season, you’re only as good as your last hit.
As for HBO… That’s a dying model. If the outlet were smart, they’d band together with Hulu or another player and release all episodes on the same day. People don’t like to wait, appointment viewing is passe. We want it all and we want it NOW!
As for Hulu, forget about it, it doesn’t have critical mass, and unlike Netflix, it’s only in America. Sure, the “Handmaid’s Tale” burnished the outlet’s image, but Netflix has more than that, “Narcos,” Stranger Things,” 13 Reasons Why,” “Wormwood”… A record company can’t survive on one act, you need a steady flow of product, which Netflix has. And it’s a virtuous circle, they keep adding subscribers to the point they’ve got more money and they spend it on the best creators! So they end up with the lion’s share of the viewers. Which is why Fox wanted out, why it sold to Disney.
The companies working on maps for autonomous vehicles are taking two different approaches. One aims to create complete high-definition maps that will let the driverless cars of the future navigate all on their own; another creates maps piece-by-piece, using sensors in today’s vehicles that will allow cars to gradually automate more and more parts of driving.
Alphabet is trying both approaches. A team inside Google is working on a 3-D mapping project that it may license to automakers, according to four people familiar with its plans, which have not previously been reported. This mapping service is different than the high-definition maps that Waymo, another Alphabet unit, is creating for its autonomous vehicles.
Mobileye argues that it’s more efficient and cost-effective to let the cars we’re driving today see what’s ahead. In January, the Intel Corp. unit announced a “low-bandwidth” mapping effort, with its front-facing camera and chip sensor that it plans to place in 2 million cars this year. The idea is to get cars to view such things as lane markers, traffic signals and road boundaries, letting them automate some driving. Mobileye says this will take less computing horsepower than building a comprehensive HD map of the roads would.
Analysts at Bernstein tried to get a better picture of how profitable these companies are by excluding the cost of the drugs that are included in their revenue. The analysts compared the rate at which gross profit converts into earnings before interest, taxes, depreciation and amortization for pharmacy-benefits managers and other pieces of the drug supply chain, including drug distributors, insurers and pharmacies.
By this analysis, pharmacy-benefit managers are exceptionally profitable; 85% of their gross profit converted into Ebitda over the past two years. Drug distributors converted 46% of their gross profit, while health insurers and pharmacies achieved about 30%.
Few people in automotive history have as impressive a legacy of wealth creation as the 65-year-old Marchionne: Henry Ford, Billy Durant, Karl Benz and Kiichiro Toyoda among them. But those titans were like the industry’s farmers — cultivating businesses from scratch and nurturing them into today’s automaking giants. Marchionne, in contrast, has been the fireman — running into the ruins of once-great companies, putting out the flames and rebuilding something better than before.
“In 2004, when you were first introduced to the auto industry, a lot of people were thinking, ‘Who the hell is this guy?’ Right? I was one of them, frankly,” Morgan Stanley analyst Adam Jonas told Marchionne during FCA’s Jan. 25 quarterly call with analysts. “We hadn’t seen anything like you. You took $2 billion, roughly, and you’ve turned it into around $72 billion, and more important than that, there are many hundreds of thousands of families across many nations that are better off because of you and your team.”
In 2009, Marchionne inherited a mess. Daimler and later Cerberus Capital had largely failed to invest in necessary product improvements or modernize the company’s industrial footprint. Morale among employees who had survived constant cost-cutting, including several rounds of layoffs, and then the bankruptcy could not have been lower. Marchionne offered the automaker’s disheartened employees a path back to potential health — one that demanded long hours, hard work, humility and sacrifice. The employees accepted the challenge. They set to work fixing many of the things that had gone so wrong with Chrysler and its products — improving quality, overhauling 16 vehicles in 19 months, banning rat-gray interiors and fixing manufacturing plants. Their level of commitment and dedication to restore the company to some semblance of health continually surprised Marchionne.
With 400m registered customers in more than 400 Chinese cities, it delivers 25m rides a day, roughly twice as many as Uber and all the other global sharing apps combined. In the future, Liu imagines an even larger purpose, as Didi uses big data and machine learning to fix the many problems that snarl-up urban areas. “When you redesign the transportation system, you basically redesign the whole city,” Liu says. “You redefine how people should live.”
AI currently matches thousands of riders and drivers each minute, as part of a decision-making platform the company calls “Didi Brain”. This already predicts where riders are likely to want cars 15 minutes ahead of time, guessing right 85 per cent of the time. As it seeks out more patterns, Zhang says, the system will see forward an hour, or even a full day, using reinforcement learning, a powerful AI technique in which computers learn via experimentation, much as a child might use trial and error.
But for Didi, machine learning helps solve more basic problems, like traffic signals. “They’re sometimes manually operated every 90 seconds by someone sitting in a room,” Liu says. In the eastern city of Jinan, Didi algorithms now power “smart” traffic lights, which optimise patterns based on real-time car data, cutting congestion by ten per cent. Similar projects are under way in dozens of cities, along with plans to improve traffic lane management and bus systems.
Dyson has worked extensively on lightweight materials, leading several people to speculate the first vehicle may be substantially comprised of plastics rather than metals, something usually reserved for high-end supercars. This would make the cars lighter — important because of the weight of electric batteries — but also allowing for more inventive designs. When announcing the project last September, Sir James said the first car would look “quite different” to any currently on the market.
Dyson aims to lean less heavily on suppliers than traditional carmakers, partly because of a penchant for making components in house, and partly because electric cars contain substantially fewer bits than their combustion engine counterparts. The group already produces electric motors, which turn the wheels, as well as battery cells in-house, and is investing heavily in software development, an increasingly important part of modern cars.
If successful, however, SpaceX has said it plans to start launching its first commercial satellites next year, with a constellation of more than 11,000 circling the earth in low-earth orbit by the time the network is complete in 2024.
The satellite trial points to an impending space race that has drawn in powerful backers. Google, which once looked at developing its own satellite-based network, became one of SpaceX’s biggest backers when it led a $1bn investment round three years ago. Meanwhile, SoftBank and Richard Branson are among the backers of OneWeb, a European rival that hopes to start providing broadband internet next year.
“Everyone is trying to develop their own in-house HD map solution to meet their self-driving needs, and that doesn’t scale,” says Mr Wu of DeepMap. “It’s all reinventing the wheel, and that’s wasting a lot of resources. That will probably be one of the reasons to block self-driving cars from becoming a commodity.” Because companies do not share mapping data and use different standards, they must create new maps for each new city that they plan to enter. “It will delay the deployment in certain geographies,” Mr Wang says.
Willem Strijbosch, head of autonomous driving at TomTom, says the maps needed for driverless cars are different from the current map applications because they will need to “serve a safety critical function”, rather than just being used for navigation. “Another change is that you can no longer use GPS as your only means of localisation in the map,” he adds, because the global positioning system is not precise enough for self-driving cars.
Farmers can use the imagery to estimate crop yields around the world, investors are counting the number of oil storage tanks in China and estimating consumption trends, while human rights campaigners have used it to map the flight of the Rohingya population from Myanmar. On a daily basis, we can now study the shrinkage of glaciers, the expansion of cities, the deforestation of remote wildernesses and the devastation of armed conflict in intense detail.
“Seeing the whole Earth as a single entity is not new,” says Martin Rees, Britain’s astronomer royal. “But what is happening now is that we are monitoring it on a daily basis at high resolution. Satellites have enough resolution to observe every big tree in the world every day.”
Planet now has a fleet of 190 satellites in orbit, including 13 SkySat satellites. That network provides a steady feed of imagery — more than 1.3 million photographs a day — that can be combined with other data streams to create a comprehensive “space data processing platform”. The company includes feeds from the Sentinel satellites, which operate as part of the EU’s Copernicus programme, and the US Landsat 8 satellite, adding infrared and radar capability.
Over the past two years, Planet has sold its data services to hundreds of customers in about 100 different countries, including the US, UK and German governments and big companies such as Bayer, Monsanto and Wilbur-Ellis. Planet says it has strict ethical guidelines and vets its customers as best it can to ensure that sensitive images do not end up in the wrong hands.
Dr. Edward Deming once said that the numbers that best define a company are two factors that do not appear on any financial statement. These factors are the value of a satisfied customer and the value of a dissatisfied customer. These factors must be multiplied by every other number in a financial statement in order to assess the prospects of the business. A high satisfaction leads to repeat purchases and referrals, growing the business; while a low satisfaction leads to ending relationships and a repulsion of potential new customers. These numbers determine everything about the future and nobody quite knows what they are.
The table demonstrates that stocks have done an admirable job diversifying negative returns in bonds over time, showing losses only in three out of the 16 different times that bonds had down years. The spread between the two averaged more than 16 percent. It should also be comforting to those who practice diversification that even when both have fallen in the same year, bonds typically don’t get crushed like stocks do and instead tend to only show minor losses.
Carrie Leana, a professor of organizations and management at University of Pittsburgh, said participants reported significant declines in their financial worry and increases in both their physical and psychological health.
To tackle this, companies are using incentives to boost participation in financial-wellness programs. These typically combine financial education with customized advice delivered by mobile apps and human advisers. The goal: to teach employees basic money-management skills and remind them—via text messages, emails or one-on-one meetings—to stick to budgets, pay bills and save more for everything from emergencies to retirement.
“We know that stress is the No. 1 cause of health-related issues, and the No. 1 cause of stress is money,” said SunTrust CEO William Rogers Jr. “If we can attack financial stress, we can improve our employees’ physical well-being as well.”