Two recent articles caught my eye this week. One article focused on the Fourth Generation of artificial intelligence, calling it artificial intuition. The other article explores the shift from artificial narrow intelligence to Artificial General Intelligence. In the case of artificial intuition, author Mark Gazit describes how helpful AI has become, and its ongoing limitations. Machine learning is still fully dependent on historic data. New and unknown scenarios leave data scientists helpless. Mr. Gazit suggests that in order to have true artificial intelligence, we need machines that can think on their own.Continue reading
As the world focuses on a global pandemic, remote work has been a popular topic. As reported by Brian Fung, Google just Announced the extension of their remote work policy to July of 2021 – an acknowledgement that the pandemic could be with us a while. Siemens decided to make their policy permanent, but as this Recent Announcement indicates, their approach is very refreshing. Following in the footsteps of others, Siemens is adopting a new model that will allow employees worldwide to work from anywhere they feel comfortable. The permanent standard allows employees to leverage the new model for an average of two to three days a week. This article by Justin Bariso focuses on the refreshing part of the announcement, reflected in this quote by incoming CEO Roland Busch:
This recent Article describes how Sergey Brin and Larry Page founded Google on the conviction that STEM expertise was the dominant piece of the capability profile – setting its hiring algorithms to look for computer science students with top grades from elite science universities. In 2013, they decided to test this hypothesis by analyzing the hiring, firing, and promotion data accumulated since their incorporation in 1998.
Join me on Game Changers radio on Wednesday February 10th at 11:00 EST. We will be discussing the rising billions and their world changing implications
The buzz: Acting hyper. Peter Diamandis predicts the most dramatic positive change in our global economy will occur between 2016-2020, when 3–5 billion new consumers–who’ve never purchased, uploaded, invented or sold anything–come online, sparking a hyper-connectivity mega-surge. Who are they? The “Rising Billions.” Tech giants Google, Facebook, and SpaceX are working to make this happen. How will your company turn the resulting complex hyper-connectivity into sustainable growth opportunities? The experts speak. Frank Diana, TCS: “Three billion new minds are about to join the global conversation” (Peter Diamandis). Dennison DeGregor, HP: “By end of 2017, the CMO will have larger budgets for technology than the CIO” (Gartner). Paul Donovan, SAP: “The day science begins to study non-physical phenomena, it will make more progress in one decade than in all the previous centuries of its existence” (Nikola Tesla). Join us for The Rising Billions: Business Networks and the Digital Economy.
According to Peter Diamandis of Singularity University, the most dramatic change in our global economy is about to occur between 2016 and 2020. He says that 3 to 5 billion new consumers, who have never purchased anything, never uploaded anything and never invented and sold anything, are about to come online and provide a mega-surge to the global economy. He calls this group the “Rising Billions.”
Technology giants like Google, Facebook, and SpaceX are all working to connect the world. Once connected, this exploding online community introduces new markets, creating a $30 trillion consumption opportunity by 2025 – and emerging markets will grow 75% more rapidly than developed markets. As discussed in a recent post on Changing Beliefs, this shift from developed to emerging markets requires a change in the approach used to win in these markets, as products and services from developed markets cannot simply be transplanted into emerging markets. But these rising billions are more than a market opportunity. They are a source of ideas, innovation, knowledge, skills, capacity, passion, learning, insight, and foresight.
At a recent news conference, U.S. federal transportation officials described Talking Cars and their ability to avoid deadly crashes by seeing it coming before you do. The U.S. government will likely require automakers to equip new vehicles with technology that lets cars warn each other if trouble lies ahead. A radio signal would continually transmit a vehicle’s position, heading, speed, and other information. Your vehicle would receive the same information back from other cars, and the on board computer would alert its driver to an impending collision. Alerts would come in varying forms: a flashing message, an audible warning, or a driver’s seat that rumbles. Some systems might even automatically brake to avoid an accident if that option is included. Examples of what the technology enables:
2014 has started with a bang! If this is indicative of things to come – it will be an interesting and exciting year. Two major events usher in our New Year: IBM announcing the formation of the IBM Watson Group and Google acquiring Nest. We’ve heard a lot about the Internet of Things and the growing adoption of Smart Home components. Perhaps not as widely discussed is the emergence of cognitive computing – a space that IBM just made a huge bet on.
In my transformation series last year, I discussed the automation of knowledge work as both an emerging enterprise disruptor, and future enterprise enabler. Cognitive Computing promises to be a major driver of both sides of this equation. In its simplest form, cognitive computing is technology that allows us to ask natural language-based questions and get answers that support action, smarter decision making, and optimal outcomes. Gartner is weighing in and focused their recent 2013 Hype Cycle on the relationship between humans and machines. The focus – driven by the increased hype around smart machines, cognitive computing and the Internet of Things – is rooted in the belief that the divide between humans and machines is narrowing. Gartner encourages enterprises to look beyond the narrow perspective that only sees a future in which machines and computers replace humans. They see three main scenarios: 1) Augmenting humans with technology 2) Machines replacing humans 3) humans and machines working alongside each other. This is a very reasonable perspective on the likely path. The future enterprise as described through this Blog will use a combination of these scenarios to drive outcomes and transform stakeholder experiences (i.e., customer, employee, citizen, partner, etc.)
Update 8/3: This Article by Jay Greene summarizes the results of a recent survey of mobile application developers. This quote captures the key message from these results: “The new quarterly survey of mobile application developers by Web development tool maker by Appcelerator and market research firm IDC found that two-thirds of the 1,621 respondents to the question “Can Google+ catch up to Facebook?” replied yes. The reason: more than 68 percent of the respondents believe Google’s other assets–search, YouTube, and maps, among others–trump Facebook’s social graph lead”.