Thursday, December 29, 2016

Paul's Update Special 12/29




Tens of billions of devices, sensors, vehicles and people will become interconnected over the next 10 to 15 years as the so-called Internet of Things (IoT) expands from about 11 billion connections today, to 30 billion by 2020, to 80 billion by 2025. And in fact, those estimates may prove low.

But the good news is, estimates will become easier to make.

“In the future, we’ll be able to better predict the future,” said Tom Bradicich, vice president and general manager of Servers and Internet of Things Systems for Hewlett Packard Enterprise. Algorithms will build on algorithms, with every prediction smarter than the last. 

Driver’s licenses will not exist—you won’t need one, because you won’t be driving
Through the first half of 2016, road fatalities in the U.S. climbed more than 10 percent compared with the same period last year, which saw an overall spike in traffic deaths of more than seven percent, the biggest increase in almost a half century. Tens of thousands die every year. “Losing 30,000 people a year is really unacceptable, but we live with that,” said Cindy Frewen, a professor and board chair of the Association of Professional Futurists. “We’ve become numb to that fact, yet we take that risk every day. We talk about other things that are high risk, and they are, but cars are one we really don’t talk about.” Humans, historically, have proven they aren’t the best at understanding or mitigating risks. That will quickly change, and it will be one of the single greatest benefits of IoT.

Data will become more like currency
Christopher Bishop, a board member of Teach the Future and TEDx TimesSquare who spent 15 years at IBM, agrees that data will become more of a currency. “People will want to buy your data for a survey or to participate in a focus group,” he said. “There will be chips that have all that data stored. You’ll monitor and manage what goes in there.” But speaking of currency, futurists say you also won’t use cash.

People will visit doctors less often
For the day-to-day health needs, sensors on your clothing will monitor your vitals and provide constant biometric updates—eliminating the need for annual in-person check-ups.

Food waste will be nearly eliminated
Sensors will be everywhere, even on our food. When food can have sensors on it, its spoilage rate can drop. If you’re shipping it, it can be routed in a way to prevent fruit from spoiling. We’ll also be able to simply grow more food, especially in developing countries. Printable sensors will be cheap and will tell farmers optimal times to plant optimal quantities of optimal crops, with up-to-the-nanosecond climate forecasts.

Money saved from energy efficiencies will be used to revamp urban infrastructure
Paying for that infrastructure will prove more challenging. With fewer people driving—both because of driverless transportation and with so many more working from home on high-speed connections. People may not buy as much locally, crushing the tax base. If more people share housing or don’t buy homes, or move around more frequently, local revenues will plummet and many legacy organizational structures found in cities will crumble from lack of funds. Governments will have to think of other ways to provide goods or services, perhaps through private-public partnerships. Maybe that partnership will focus on creating the necessary set of protocols for everything to talk to everything else simultaneously. “Standards and policies are going to be critical to making that all work as the deluge of data continues,” Bishop said.

Cyber attackers will be more motivated than ever
Security of IoT also will be critically important. Several futurists interviewed said devices may reach a point where they only respond to us—perhaps requiring a constant, pulsing connection to our DNA—but many were concerned that hackers will have more incentives than ever before to break down those barriers. 

Those high-tech contact lenses in sci-fi movies will exist
Timothy Dolan, a principal at Policy Foresight,  said he favors personalized earpieces to watches or implanted sensors. Others, including Bradicich, think all of our personal data will be implanted in contact lenses that will give us the supreme combination of security and functionality.

We’ll create robots that create robots
These devices will have to be created by people—or by robots created by people, at least until robots are smart enough to create manufacturing robots without human input. That might not be far off. The entire nature of work will be transformed through IoT, and maybe John Maynard Keynes’ decades-old prediction of a 15-hour workweek will finally come true.

Humans will be able to do more good
Life will be less about stuff, even though all of your stuff will be constantly talking to all of the other stuff. People will be living longer—perhaps, according to some surveyed, 150 or 200 years—and spending more of their newfound free time helping others.

Technology will become invisible
Unique Visions’ Joe Tankersley, a 20-year Disney veteran and imagineer, thinks we’ll reach a point where we’ll be surrounded by so much technology we’ll then be surrounded by none. “The ultimate goal of all this technology is for it to disappear,” he said. “The only people who really think a cell phone is a good form factor are the people who manufacture cell phones. You’ve got to carry it, it’s bulky, it breaks. People seem to think that these devices are what we’re obsessed with—we’re really not. We’re obsessed with the fact that these devices provide a new kind of connection for us. And if we can make that connection less obtrusive, why wouldn’t we?”



The top medical technologies with the biggest promise for 2017:

A new era in diabetes care
In 2016, the US Food and Drug Administration approved the world’s first artificial pancreas. The device monitors blood sugar and supplies insulin automatically. It basically replicates what a healthy version of the organ does on its own; and it enables diabetes patients to live an easier life in a sustainable way. It is the biggest step towards a new era in diabetes management in years. In 2017, this new way of diabetes management will spread around; and it will become a life-changing milestone in many patients’ lives when they first start to use the device.

Precision medicine in oncology
There are significant advances in immunotherapy which might launch a new era of treating cancer. Liquid biopsy was the big thing in 2016 and now it’s becoming more accessible for patients worldwide. The technology has limitations, but it’s getting better. Digital technology will start the transformation of available cancer care methods on the market. Personalized oncology is becoming available.

Narrow artificial intelligence in US clinics
IBM Watson, the company’s advanced artificial intelligence program is transforming healthcare into a quantifiable service where every bit of information is available. By using it, physicians only have to go through their personalized reports instead of reading through dozens of papers for every patient’s case. The so-called Watson for Genomics helps advance precision medicine by combining cognitive computing with genomic tumor sequencing.

Driverless trucks or cars will include health sensors
Parallel with striving for the introduction of driverless cars as soon as possible, companies are equipping cars with tons of sensors. As we will spend more passive time in 2017 in these vehicles, Uber, Volvo or Tesla will start implementing health sensors into the driver’s seat. I believe that the car itself is going to operate as a point-of-care in the future.

New service in nutrigenomics
Nutrigenomics is a brand-new cross-field combining genetics and nutrition science. The basic idea behind nutrigenomics is that our genome reveals valuable information about our organism’s needs. We should map out this data and utilize in order to lead a long and healthy life. After having your DNA sequenced (perhaps already at home), a smart app could let you know which food you should eat and what you should avoid at all cost.

SpaceX and NASA will realize they need a digital health masterplan to reach Mars
2017 will be the year when NASA and SpaceX will realize that they not only need a masterplan for revolutionizing the transportation industry and space travel, but also one in digital health.

The genome editing method CRISPR in clinical trials
I believe that in 2017, we have a great chance for launching the first clinical trials to test the real power of CRISPR in changing devastating diseases.

A big tech company will step into health
Yes, I know, you are right, Google, Apple, Microsoft, IBM, they all showed interest in medicine and healthcare. However, they should step up their efforts. Google has made steps forward in healthcare with Calico. They look for possible “cures” for ageing and for basically everything which might lead to death. It works together with pharma giant Abbvie to accelerate the discovery, development and commercialization of new therapies. Human Longevity Inc. joined forces with Cleveland Clinic for a human genomics collaboration aimed at disease discovery and making ageing a chronic condition. IBM has been developing its artificial intelligence program, Watson and puts it to use in cardiology and cancer care. There is a harsh race among companies in terms of digital technological development; and its effects are already tangible in medicine and healthcare as well. The race will not tone down in 2017, rather on the contrary. A tech giant will announce next year that it will devote significant resources to changing healthcare, a quite undiscovered industry for them.

An insurance company launches a wearable sensor package
Due to predictions, 245 million wearable devices will be sold in 2019. As more and more accurate data sets about our lifestyle through trackers and wearables become available, it is inevitable insurance companies will try to utilize them. In 2017, a large insurance company (not a start-up!) will launch a package containing wearable sensors and guidance about living a healthy life by measuring data in 2017.

The surgical robot by Google and Johnson&Johnson will compete with daVinci
Surgical robots have the potential to change how surgeons will operate in the future. The industry is about to boom: by 2020, surgical robotics sales are expected to almost double to $6.4 billion. One fine example is the da Vinci Surgical System. It features a magnified 3D high-definition vision system and tiny instruments that bend and rotate far greater than the human hand. With the da Vinci Surgical System, surgeons operate through just a few small incisions. Recently, Google has announced that it started working with the pharma giant Johnson&Johnson in creating a new surgical robot system. The tech expertise of Google with the healthcare experience of J&J could prove to be a jackpot combination: daVinci will finally have a real competitor. It will definitely give another boost to the surgical robot industry.

Vocal biomarkers: the future of diagnostic medicine
Not long ago, scientists discovered vocal features in every way imperceptible to humans. They also found that the identification of such distinctive characteristics might have a huge impact on setting up a diagnosis. Researchers labelled these features “vocal biomarkers”. These can serve as a diagnostic tool for your physician to indicate signs of illnesses ranging from stress and depression to cardiovascular diseases. Vocal biomarkers will gain ground in 2017. Instead of focusing only on biomarkers measured in blood or genomic markers analyzed by geneticists, vocal biomarkers which are easy to detect, record and analyze will be used more and more for detecting and preventing diseases.

Pharma will start using massive AI in clinical trials and drug research
Clinical trials take a decade and cost billions of dollars. Atomwise uses supercomputers that root out therapies from a database of molecular structures. Last year, Atomwise launched a virtual search for safe, existing medicines in order to redesign them to treat the Ebola virus. They found two drugs predicted by the company’s AI technology which may significantly reduce Ebola infectivity. This analysis, which typically would have taken months or years, was completed in less than one day! 2017 will be the year when the pharma industry realizes they either use AI in drug research and clinical trials or start-ups will make them suffer. 

A company will make the 3D printed cast a real choice
Imagine a scenario where you have broken or twisted a limb, and need a cast. The doctor just scans your arm, prints out a water-proof, lightweight cast in seconds using a software approved by traumatologists, and you’re free to go home.

It’s important to mention though that none of these will happen without individuals who understand what the technological advances can bring for us. Those people who discuss the advantages and ethical issues today are the ones who will bring disruption to everyday life tomorrow. Because it’s always more important how we adjust to the changes than what developments will take place next year.

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If you would like a long read about the digital world of work this one is provided by Cognizant. It is very good.  Paul



Thursday, December 22, 2016

Paul's Update Special 12/22




Over the past few years, much has been made of the rise of big data. And yet research from TDWI states that at organizations where 50% of employees have access to business intelligence tools, only 20% of that group actually use them. Part of the problem is that systems are often hard to use. Another challenge is low rates of data literacy.

To get around these issues, many organizations have relied on visualizations to display information gleaned from data. While a picture may be worth a thousand words, the same can’t always be said for these charts and graphs. There are a range of causes for data misinterpretation, including insufficient domain expertise and lack of training in statistical thinking.

All of this suggests that trying to force people to become data literate is an uphill battle. But this is actually becoming less necessary thanks to the rise of artificial intelligence (AI) — and, in particular, advanced natural language generation (advanced NLG), a subfield of AI. Advanced NLG platforms start by understanding what the user wants to communicate. Then these systems perform the relevant analysis to highlight what is most interesting and important, identify and access the data necessary to tell the story, and finally deliver the analysis in a personalized, easy-­to-­consume way: as a narrative. Gartner predicts that by 2018, advanced NLG will be integrated into the majority of smart data discovery platforms and that 20% of business content will be generated by machines.

Conversations with systems that have access to data about our world will allow us to understand the status of our jobs, our businesses, our health, our homes, our families, our devices, and our neighborhoods — all through the power of advanced NLG. It will be the difference between getting a report and having a conversation. The information is the same but the interaction will be more natural.

Big companies often have big call centers. I know a company in the financial services industry that has a staggering 13,000 employees in its call center. As you can probably imagine, the logistics of managing a call center workforce even a fraction of that size can be tough.

In organizations of this size, individual managers may not have the time or resources to conduct frequent performance reviews and deliver on-going personalized training, though 92% of managers see high value in such communications. On top of that, people don’t want to be given numbers or charts illustrating how they can do better, they want “corrective feedback” defined as suggestions for improvement or explorations of new and better ways to do things.

With advanced NLG, performance and call activity data can automatically be analyzed to generate weekly personalized coaching reports that convey in simple and conversational terms how individual employees are doing, what behaviors to improve, and their progress against goals to inspire and encourage change.

As advanced NLG transforms from a niche emerging technology into the default communication layer that we put on top of data, the idea that every person needs a set of specific, technical skills in order to interact with data will seem ludicrous.

Our expectations of data are rapidly reaching the same tipping point of other types of innovations that we don’t give a second thought to anymore. Phones that allow us to carry limitless knowledge in our pocket, free video conferencing with anyone across the world or smart houses that regulate themselves are now the norm and not the exception.

While we take them for granted now, there was a time when these advances seemed just as improbable. Looking ahead to the next few years, the same shift will occur to data as enabled by advanced NLG. Additionally, this growing movement will help build trust in intelligent systems as information will be delivered in a familiar, conversational way and the systems will be able to explain in clear language why and how they came to conclusions.

People have always communicated through stories and language, why should we expect them to change now?



1. Voice assistant software is the #1 AI app today
In a survey of corporate executives, 32% of respondents said  voice recognition software like Apple's Siri, Alphabet's Google Assistant, and Amazon.com's Alexa is the most used type of AI tech in their workplace. Many of these voice-powered AIs still leave something to be desired in terms of accuracy, and it was surprising that voice assistants outnumbered big data in overall popularity with businesses. 

2. AI bots will power 85% of customer service interactions by 2020
Bye bye, call centers and wait times. According to researcher Gartner, AI bots will power 85% of all customer service interactions by the year 2020 . 

3. Digital assistants will "know you" by 2018
Also from Gartner , digital customer assistants will be able to "mimic human conversations, with both listening and speaking, a sense of history, in-the-moment context, timing and tone, and the ability to respond, add to and continue with a thought or purpose at multiple occasions and places over time." Said another way, digital assistants will know and interact with you like a friend does today, or at least they'll try to.

4. Amazon, Alphabet, IBM, and Microsoft to host 60% of AI platforms
These 4 tech giants already have significant cloud computing businesses, a trend researcher IDC sees as likely to continue. 

5. Get excited for self-driving cars
According to a study from leading consultancy McKinsey , the impact of self-driving cars will be tremendous, saving an estimated 300,000 lives per decade by reducing fatal traffic accidents. This is expected to save $190 billion in annual critical care and triage costs. Less miraculous (but still awesome), autonomous automobiles will also save their users as much as 50 minutes each day by allowing them to focus on other tasks while commuting.

6. 20% of business content will come from AIs by 2018
AI-powered software will write as much as 20% of business content in a mere two years' time according to Gartner . Areas like "shareholder reports, legal documents, market reports, press releases, articles and white papers" are among the writing forms most likely to be automated. 

7. AI drives a $14-33 trillion economic impact
In a research report to its investors, Bank of America  argued that the rise of AI will lead to cost reduction and new forms of growth that could amount to $14-$33 trillion annually, in what it calls "creative disruption impact," and that's just the tip of the iceberg in some expert's view.

8. Robots will be smarter than humans by 2029
According to Alphabet director of engineering Ray Kurzweil , machines will be smarter than us by 2029. 

9. Zero people actually know how big an impact AI will have
Researching this article, I found all manner of predictions for how much AI will impact our daily lives, everything from imminent nuclear winter to global immortality waiting around the corner. So while it's certainly easy to get wrapped up in the litany of predictions, it's perhaps most useful to simply keep in mind that AI should have a major economic impact from which investors can undoubtedly benefit from today.



Over the last few years we’ve been increasingly interested in the impact of a leader’s preference for speed versus a “slow and steady” mode of operation. It’s clear that overall, organizational processes, communications, and human interactions in the world are speeding up. Many organizations are looking for ways to become more agile. Perhaps leaders worry that their organizations cannot move faster if their employees operate slowly.

What does it take for a leader to have both high quality and fast pace? To research this question, we turned to a data set, one that includes information on more than 75,000 leaders. This data set contained 360-degree assessments with ratings from an average of 13 raters.

The analysis identified seven unique factors that appear to identify what it takes to combine these two seemingly contradictory critical leadership goals. 

  • Provide clear strategic perspective
    Leaders rated as having both high speed and high quality were absolutely clear about the vision and direction of the organization. They were also rated as better at taking a longer term, broader view. They were effective at defining that perspective and then sharing their insights with others so the strategy could be translated into challenging, meaningful goals and objectives. 
  • Set stretch goals and maintain high standards
    Stretch goals have a natural tendency to increase speed. People will stay busy without stretch goals but will not accomplish as much. Stretch goals can increase our effort. 
  • Communicate powerfully
    When everyone understands where they are going, what problems need to be resolved and where projects are in terms of milestones, both speed and quality increase. When people are uninformed, confused or given misleading direction, errors occur and work slows.
  • Have the courage to change
    Speedy leaders with high quality output became the champions of change. They were excellent at marketing projects, programs or products. Slow leaders who produce poor quality resist change.
  • Consider external perspectives 
    The leaders who were top in speed and quality are skilled at looking outside the organization and identifying trends and changing mindsets early.
  • Inspire and motivate others
    These leaders have the ability to inspire people in the organization. Direct reports felt they were on a mission and that what they did was essential. 
  • Innovate
    Leaders with fast execution and high quality were always looking for a fresher, faster, more efficient way to deliver. Having a desire to increase both speed and quality using standard procedures is often impossible and therefore requires new innovative procedures. Leaders who look for innovative solutions find a way to have the best of both worlds.

An increasing number of roles require high speed combined with high quality. We believe this achievement is possible.