I’ve been consistently public, for almost a decade, about my belief that we should significantly change our approach to immigration in the US, especially for entrepreneurs. As one of the original advocates of the Startup Visa, I continue to be bummed out that our government can’t seem to figure out why this is important or doing anything productive around it.
But, I’ve been appalled the past few days, as Amy and I spend time in Germany, to watch the Trump immigration enforcement that separates children from their parents and detain the children in separate locations. While we had a joyful anniversary yesterday, I felt a bitter emotional undercurrent that upset me.
I’m lucky that I was born an American citizen. Over the years, I’ve invested in many immigrant entrepreneurs. Amy and I have supported a number of organizations that help immigrants and refugees. But when I saw Ayah
Amid current outbreaks of Ebola in the Democratic Republic of Congo (DRC) and Nipah virus in India, an even scarier threat looms. Last year, researchers recreated an extinct smallpox-like virus with DNA bought online for just $100,000 and published how they did it. Their feat heightens concerns that rogue regimes and terrorists could similarly modify or engineer pathogens and use them as weapons. Former U.S. Secretary of Defense Ash Carter warned that such biological artillery might come to rival the destructive power of nuclear arms. If a highly contagious agent were released in a major city, it could spread far and wide and kill thousands before it is even clear what is happening. Responding effectively to such threats will require a paradigm shift towards approaches that are faster and more agile and decentralized than what exists now.
The low cost and do-it-yourself accessibility of genomic
This month will see the enforcement of a sweeping new set of regulations that could change the face of digital marketing: the European Union’s General Data Protection Regulation, or GDPR. To protect consumers’ privacy and give them greater control over how their data is collected and used, GDPR requires marketers to secure explicit permission for data-use activities within the EU. With new and substantial constraints on what had been largely unregulated data-collection practices, marketers will have to find ways to target digital ads, depending less (or not at all) on hoovering up quantities of behavioral data.
There is no single leadership trait that guarantees success in any profession, but there is, based on my experience, one that many of the best leaders share: a fierce commitment to objectivity. And yet I realize it’s often not easy for leaders to remain objective.
In my nearly three-decade career in the intelligence community, I have worked for and with 11 Directors of CIA and all five Directors of National Intelligence. Each has brought their own personality and skill set to the job, and each in their time has faced their own set of challenges, from deeply contentious relationships with the White House and Congress to unforeseen terrorist attacks on the homeland and U.S. diplomatic facilities overseas. I think each would agree that leading in the intelligence community is a daily exercise in crisis management, whether at the helm of CIA with its global analytic and operational
Imagine that the next time you see your doctor, she says you have a life-threatening disease. The catch? A computer has performed your diagnosis, which is too complex for humans to understand entirely. What your doctor can explain, however, is that the computer is almost always right.
If this sounds like science fiction, it’s not. It’s what health care might seem like to doctors, patients, and regulators around the world as new methods in machine learning offer more insights from ever-growing amounts of data.
Complex algorithms will soon help clinicians make incredibly accurate determinations about our health from large amounts of information, premised on largely unexplainable correlations in that data.
This future is alarming, no doubt, due to the power that doctors and patients will start handing off to machines. But it’s also a future that we must prepare for — and embrace — because of the impact these
If you ever waited for dial-up to connect you to the vast wonderland we called the World Wide Web, you probably also had an alarm clock on your nightstand, next to your land line, which might have had a cord connecting the handset to the receiver. If you were really progressive, you may have even used a cellular phone. The connection was better if the antenna was fully extended, and you paid by the minute.
Fast-forward a mere twenty years or so. We now text and email and take calls on our watches. Siri directs us if we’re in an unfamiliar city. Our phones can send photos of deposits right to our banks and pay for our groceries at the self-checkout. Or, maybe we don’t even go to the store. Alexa can order for us and have our items delivered in hours—likely soon, by
The U.S. Senate and House hearings last week on Facebook’s use of data and foreign interference in the U.S. election raised important challenges concerning data privacy, security, ethics, transparency, and responsibility. They also illuminated what could become a vast chasm between traditional privacy and security laws and regulations and rapidly evolving internet-related business models and activities. To help close this gap, technologists need to seriously reevaluate their relationship with government. Here are four ways to start.
Help to increase tech literacy in Washington. Lawmakers expressed surprise and confusion about Facebook’s business model, including how the company generates revenue and uses data for targeted advertising. They also seemed to misunderstand how Facebook functions as a platform for third-party applications and how users’ data is flowing between the user, Facebook, and third parties. This lack of knowledge — despite the millions of dollars that the tech
It’s a predictable part of nearly every big business scandal: the moment when the CEO is summoned to Capitol Hill to testify before a congressional committee. For Facebook founder Mark Zuckerberg, this rite of passage happens this week, when he will testify about data breaches and how foreign states allegedly used social media to try to influence the 2016 presidential election. Observers are already speculating about how Zuckerberg will perform and whether he might join the list of CEOs (like Equifax’s Richard Smith) whose appearance made the company’s predicament even worse. To get a sense of how a CEO should approach this task, I spoke with William LaForge, a former Washington lawyer and lobbyist and author of Testifying Before Congress. (Since 2013 LaForge has served as president of Delta State University, in Mississippi.) The following is an edited, condensed version of our conversation:
The Trump Administration has a historically unprecedentedrate of turnover of the senior staff, and it shows no sign of abating. This level of disruption would be difficult for any organization to handle. But these difficulties are compounded in the unique environment of the White House — and, for reasons I’ll elaborate on, may be especially difficult for this administration.
While there’s been a lot of coverage on the fact of the record-setting personnel turnover at the Trump White House, there hasn’t been much analysis of its likely costs. To put it bluntly: we know there’s a lot of turnover at the Trump White House, but does it matter? Is it a bad thing?
The short answer, according to decades of organizational research, is: yes and yes. High levels of senior executive turnover are difficult for any organization to absorb. Every senior leader has his or her
An announcement on January 24 didn’t get the large amount of attention it deserved: Apple and 13 prominent health systems, including prestigious centers like Johns Hopkins and the University of Pennsylvania, disclosed an agreement that would allow Apple to download onto its various devices the electronic health data of those systems’ patients — with patients’ permission, of course.
It could herald truly disruptive change in the U.S. health care system. The reason: It could liberate health care data for game-changing new uses, including empowering patients as never before.
Since electronic health records (EHRs) became widespread over the last decade, there has been growing frustration over the inability to make electronic data liquid — to have it follow the patient throughout the health system and to be available for more sophisticated analysis in support of improved patient care and research. Most efforts to liberate and exchange health data have
Ian Hathaway, my co-author for my next book – Startup Communities 2: The Next Generation – has a great blog post up titled The Amazon Bounce Back.
Colorado, specifically Denver, is in the final 20 cities bidding on Amazon’s HQ2. This open bid process is an absolutely brilliant move by Amazon for a variety of reasons.
Enormous branding: Everyone, everywhere, is talking about Amazon. Amazon Amazon Amazon. We love Amazon.
Absurd market information: The amount of data about each city that Amazon is getting out of this is incredible.
Visibility into what cities are willing to offer: Amazon knows where its future leverage points are when negotiating with individual cities.
While I’m glad Denver approached it the way they did, focusing on strength and resources of the community rather than by throwing dollars at Amazon, our state government still provided plenty of financial incentives.
Last Thanksgiving, I watched my father-in-law evaluate over one hundred exams for the high school class he teaches on the U.S. government. They were mostly short answer questions: matching different provisions of the U.S. Constitution, and explaining the contents of the Bill of Rights. The grading was tedious and time consuming, and took him hour after hour during what should have been a holiday. I started to wonder whether there could be a faster way.
Automatic computer grading could do exactly that, learning from previous answers and getting better as it goes — and it is already being used in some universities and for large online courses (MOOCs). It could grade bundles of student papers quickly, perhaps flagging those with unusual elements that need a bit of human oversight. Teachers would get time back to plan new lessons, give extra tutorials to students who are struggling, do
If you are still having trouble understanding why Net Neutrality is important, Burger King has made an awesomely funny – and extremely informative – video using the Whopper as an example. It’s just brilliant.
Let’s start with an awesome dog taking himself sledding.
Now, let’s move on to Bill Gates opening essay in this week’s Time Magazine (he’s their first ever guest editor) titled Some good news, for once. It’s short and powerful.
He starts out with context.
“Reading the news today does not exactly leave you feeling optimistic. Hurricanes in the Americas. Horrific mass shootings. Global tensions over nuclear arms, crisis in Myanmar, bloody civil wars in Syria and Yemen. Your heart breaks for every person who is touched by these tragedies. Even for those of us lucky enough not to be directly affected, it may feel like the world is falling apart.”
And then perspective.
“But these events—as awful as they are—have happened in the context of a bigger, positive trend. On the whole, the world is getting better. This is not some naively optimistic view; it’s backed by data. Look
Questions are being asked about platform power. Regulatory rules and knives are being sharpened. Politicians are eager to point the finger of blame. And with so much tech-fueled ammunition, who can blame them? Read More
The year 2017 has been a long, strange trip. The definition of sustainability in business evolved quickly — the topic in executive suites now covers a wide range of issues that address how a company navigates environmental and social challenges. From carbon footprint to taking a stand on human rights or immigration, companies need a position and strategy on all of this and more.
We saw big leaps both backward and forward this year, some of which weren’t especially surprising. In my year-end wrap up for 2016, for instance, I predicted that “the context for sustainable business in 2017 may center on the competition between two stories, the election of Donald Trump and significant action on climate change.” That’s pretty much what happened. Trump pulled the U.S. out of the Paris climate accord, the hard-won global agreement to tackle the greatest
Deep in the golden corn fields of Iowa, technology is transforming life on the farm. For decades, the production of corn has been led by family-based businesses who operate their farms with a time-tested mix of traditional agriculture tools. But now many of them have added something new to their arsenal: a mobile app called FarmLogs.
FarmLogs is a simple way for a family farm to move its fields from the pre-internet age to the cutting edge. Farmers who used to trudge down long rows of cornstalk are now using FarmLogs’ satellite imagery and algorithms to turn raw agricultural data into powerful insights. Instead of jotting down notes about plant dates, weather conditions, soil nutrients, and crop yields, farmers are crunching big data sets to better forecast profits, track expenses, and schedule operations.
These “connected farms” are not just making life easier for those who run them,
When a disaster strikes, federal, state, and local governments need a coordinated strategy, accessible data, and a skilled workforce to manage the response. Natural disasters such as hurricanes, tornadoes, and floods have devastating effects on communities across our country. Since 1980 the U.S. has sustained more than 200 weather and climate disasters, with cumulative costs exceeding $1.1 trillion.
Government agencies should consider leveraging the internet of things (IoT) and other web-driven technologies to obtain timely and accurate data that can better inform decisions and actions. Using the most current technology could help them more efficiently and safely address these costly disasters. However, this type of progress will require more than just employing the IoT to improve emergency preparedness and response; response teams have to be ready to receive, interpret, and take action on the data.