Excel Spreadsheets. Move data . questions emerge, especially in relation with artificial intelligence. In a near workforce. Define the “man to machine. understanding of the relations and interactions between man, machine/ production process, maintenance and economy is vital. Also, it is important for identifying. Excel in simplifying systems and reducing paperwork. ▫ Excel in eliminating etiquette. ▫ Make effective use of the telephone and fax machine the public relations of the organization. ▫ Excel in . Delegate to the proper person. ▫ Effectively.
A machine comprised of super-intelligent software, hardware, and processes, with human traits being increasingly removed from the equation because they are simply slowing things down too much.
Imagine a world without serendipity, boredom, mistakes, mystery, and surprise. A world in which everything has become efficient, optimized, hyper-connected, intelligent, and real-time?
In that worldwhat will happen to us humans, the limited wetware, the eight to nine billion people who may inhabit the planet in the next 20 years?How to convert PDF to Excel
If this strikes you as a wicked problem, consider that this gigantic man-machine operating system OS might in fact be what some of the leading global technology companies are already striving for. LinkedIn is busy building a global economic graph; a kind of proprietary OS for work, jobs, and HR that uses Big Data and AI to predict hiring trends and training needs among many other things.
Facebook already has its own global OS for social and commercial relationships, and Google has its Global Brain project amid its numerous investments in AI, robotics and deep learning companies.
Clearly, the future is already here. The future of work and jobs: Ironically, this is completely the opposite of what traditional MBAs looked like, avoiding emotions, limiting imagination, and sticking to schedules and plans.
If you believe that non-algorithmic i. Education, training and learning will be changed forever as a consequence and we are already seeing the tip of that iceberg emerging. What if — in the near future — many routine business activities or operations are actually handled by algorithms and intelligent agents acting on our behalf?
In sectors such as procurement, logistics, or telecommunications network management it might well be possible to have intelligent, self-learning software, and reasoning robots take care of percent of the frequent and repetitive tasks, within a decade from today.
This would obviously lead to huge increases in efficiency and potentially massive costs savings, bringing much lower prices for consumers but also a crushing commoditization for those companies and people that currently provide these services.
Clearly, human operators cannot and should not compete here — the only way for us is to move up the food-chain, i. Who will have stewardship and control? Some urgent questions arise as we enter the age of man-machine convergence: Who is in charge of what is ignored, allowed, or sanctioned? If this is not just about technology and business but also about ethicsvalues, and culture, who would have authority over these matters?
What will happen to our collective, cultural and social concerns, i. How will our social contracts change because of this, and will these achievements make us happier? The challenges of unintended consequences In my view, unintended consequences of exponential technological progress are by far the biggest challenge that we will need to tackle in this coming age of smart machines — and hopefully not Our Final Invention as James Barrat presents in his brilliant book.
Exponential technological advancements are certain to have a myriad of unintended yet even inter-related and combinatorial consequences. I believe that these must be considered more seriously before we proceed. Some will prove to be rather harmless and more easily remedied such as using smartphones while driving becoming an increasing cause of accidents.
Others may have potentially catastrophic outcomes — such as AIs that could learn how augment themselves, leading to a so-called AI explosion and super-intelligence that could spell the end of humanity as we know it again, as Hollywood likes to depict so deftly.
Drones also make for a very good example here. There is certainly some logic in augmenting or even replacing postal and delivery services with drones in urban areas or even in places that lack infrastructure such as in Africa. If we were actually to pursue this however, we are certain to face a slew of unintended consequences which may well void most benefits we may otherwise derive from it. Consider issues such as these drones providing the perfect means for real-time surveillance, or the likelihood of citizens acquiring weapons or other means of disabling those drones that have become a nuisance to them.
Such wicked problems may well become the default in the very near future. How do we harness the positive outcomes of these new technologies without creating monsters on the flip side?
Opportunities and challenges driven by abundance Through exponential technological progress we will soon reach new levels of man-machine relationships. This clearly has the potential to solve many challenges that are subject to bold scientific endeavours — such as energy, food, water, and the environment. While this in itself is hardly a panacea either, it does enable business models that were impossible before, generating increased abundance at an even faster pace and quickly challenging our economic logic to the core — as we are already seeing in the debates about Uber and AirBnB.
What would be the purpose of increasing consumption if almost everything is abundant? When the price of most goods goes towards zero because they can be reproduced instantly, why do I need to work for a living, and what would my money still buy me? On the flip side, the challenges of actually reaching abundance driven by a highly evolved man-machine OS will be numerous.
This could result in social unrest, increased crime, and terrorism born out of sheer hopelessness. There is also the quite real threat of creating a truly perfect real-time surveillance network where nothing, not even your thoughts, would remain private. Finally, there is the dramatic and global rise of machine thinking see above. This is accompanied by an increasingly popular mindset that treats human idiosyncrasies like story-telling, mystery, boredom, contemplation, and imagination as mostly wasteful and inefficient, and wishes to make an algorithm out of everything.
The 5 Jobs Robots Will Take First
Digital ethics are becoming crucial as man and machine converge To be ready for this coming age of intelligent machines and increasing man-machine convergence I believe we urgently need to start debating and crafting a global Digital Ethics Treaty.
This treaty could delineate what is and what is not acceptable under different circumstances and conditions, and specify who would be in charge of monitoring digressions and aberrations.
No small feat clearly, but maybe the process and the result could be similar to the guidelines that came out of the Asilomar Conference on Recombinant DNA — a framework that seems to have guided the development of biotechnology deftly and effectively for the last 35 years. I believe a Digital Ethics Treaty will soon prove as important as the nuclear non-proliferation treaties NPT that are already in place, and that have indeed proven to be enforceable if not entirely without friction.
Here are some admittedly still fairly raw rules I would like to propose for inclusion in such a treaty: Either way, the future of how we relate to and intertwine with machines is being designed at this very moment, and it raises some fundamental questions: How are you shaping the debate about the future direction of your business — are you building towards the human future or the machine future?
Heaven or hell — how should society seek to shape evolution and ethical governance of technological innovation and the boundaries between man and machine? What sort or organizational structures, strategies and business models will we need to survive and thrive in a world of abundance, declining prices and high technological unemployment? Thanks for your interest!
Gerd Leonhard November 1, Here is the narrated video version: And my related film on technology versus humanity https: With this in mind, let's think about what you'll do after white-collar work. Oh, and I do have a solution for the short term that will make you the last to lose your job to a robot, but I'm saving it for the end of the article.
Any job where your "special and unique" knowledge of the industry is applied to divine a causal relationship between numbers in a matrix is going to be replaced first. Unless you sell dreams or magic or negotiate using special perks, bribes or other valuable add-ons that have nothing to do with specifications, price and availability, start thinking about your next gig.
Machines can take so much cost out of any sales process request for proposal, quotation, order and fulfillment systemit is the fiduciary responsibility of your CEO and the board to hire robots. You're fighting gravity … get out! But not report writing. Machines can be taught to read data, pattern match images or video, or analyze almost any kind of research materials and create a very readable or announceable writing.
Text-to-speech systems are evolving so quickly and sound so realistic, I expect both play-by-play and color commentators to be put out of work relatively soon — to say nothing about the numbered days of sports or financial writers. You know that great American novel you've been planning to write? Start now, before the machines take a creative writing class.
The 5 Jobs Robots Will Take First | DigitalNext - Ad Age
Robo-accounting is in its infancy, but it's awesome at dealing with accounts payable and receivable, inventory control, auditing and several other accounting functions that humans used to be needed to do.
Big Four auditing is in for a big shake-up, very soon.
The current world population of 7. In practice, if everyone who ever wanted to be a doctor became one, we still would not have enough doctors. The good news is that robots make amazing doctors, diagnosticians and surgeons. According to Memorial Sloan Kettering Cancer CenterIBM 's Watson is teaming up with a dozen US hospitals to offer advice on the best treatments for a range of cancer, and also helping to spot early-stage skin cancers. And ultra-precise robo-surgeons are currently used for everything from knee replacement surgery to vision correction.
This trend is continuing at an incredible pace.