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Fast & Furious: How digital technologies are changing the way we work




One way to trace human history is to follow the evolution of work.

First came the artisan, who labored over one pair of shoes at a time, basically an ad hoc process. Next came the Industrial Revolution, with its standardized parts and repeatable processes, vastly improving productivity but at the expense of variety. More recently, the norm has been adaptable processes, in which the same people and equipment can be adapted to provide more variety. But the adaptations often come slowly and are fraught with both process design and execution risk.

Now there is a new game in town: intelligent processes, which have been made possible by the explosion of digital technologies, and which are set to reinvent much of the way that businesses are run—in as soon as the next five years.

Intelligent processes create a virtuous cycle of constant improvement fed by continuous feedback. An intelligent process is studded with sensors that monitor every move and feed those observations into sophisticated models that allow people and software to make real-time adjustments and decisions. Digital technologies make it possible to identify opportunities for adaptation, analyze the trade-offs and then adapt faster and more efficiently.

By introducing the ability to continuously sense internal operations and external market conditions and to analyze variations quickly, digital capabilities allow intelligent processes to identify opportunities for improvement. And once an opportunity for improvement is found, other digital technologies, such as intelligent tools, advanced collaboration technologies and adaptive robotics, execute changes (even relatively complex ones) quickly.

Intelligent processes make it possible to take advantage of fluctuations in the price of raw materials or spikes in the demand for specific products or services—and then respond in real time or, at a minimum, at a fraction of what it took even adaptable processes to do. By combining the ability to detect and analyze quickly with the ability to respond just as fast, intelligent processes are able to adapt and self-evolve.

Significantly, intelligent processes help companies break free from traditional approaches to the organization of work. In fact, over the next five years, Accenture anticipates that managers will have the opportunity to greatly expand the use of three critical work-design options.

Click to Enlarge First, they will be able to incorporate experiment-driven rapid iteration, in which people and technologies interact in new ways to accelerate the evolution of products. Second, they will be able to take advantage of recombination—the ability to shift work between boundaries, especially between humans and machines—to make work processes even more flexible. And finally, they will be able to pursue edge-centricity by pushing decision making away from corporate headquarters to the far corners of the enterprise—hastening the circulation of knowledge to the edges of the enterprise, around the perimeter and, ultimately, from the edge back to the core.

Rapid iteration

Fast and flexible. No, that’s not the title of a popular Hollywood action movie franchise. Instead, it’s at the core of an increasingly popular work-design option. What we call rapid iteration is a fail-fast, experiment-driven approach that requires managers to rethink many tasks that, in the past, have followed a more predictable pattern.

Large retailers have been among the leaders in this practice, often testing prices and adjusting them rapidly to take account of changing market conditions. Today, some are using their vast amounts of stored data to make and fine-tune offers in real time, catering to “the nonstop customer.”

In product development, auto companies and aircraft manufacturers have enthusiastically embraced the use of “nondestructive testing”—for example, computer-based simulations of crashes and other stress conditions— to replace the extraordinarily expensive and labor-intensive practice of building physical prototypes and destroying them to get data.

But iterative automobile design has also evolved rapidly in recent years. The focus is no longer solely on using simulated prototypes to predict a vehicle’s durability. Increasingly, carmakers are competing on their engineers’ ability to customize software components that are not only functional but also mirror rapidly changing consumer tastes driven by their experience with smartphones and tablet computers.

To this point, crowdsourcing initiatives are quickly changing the tempo and flow of the work done by design engineers. Take, for example, Audi’s Virtual Lab. This online network, which automatically evaluated R&D prototypes based on crowdsourced responses from customers, was used to co-create Audi’s software-based infotainment system. Customers were able to design their ideal in-car multimedia system based on how much money they were willing to spend, creating a simulated purchasing decision that mimicked what happens at a car dealership.

Ideal products
This is where rapid iteration came into play: Audi’s automated system intelligently adapted to consumer responses, using rapid data analysis (machine learning) to continually refine the questions it asked customers based on their demographic profiles, on their real-time responses and on existing virtual prototypes (developed by Audi’s R&D team). The system then employed a “closest match analysis” to the prototypes already developed by Audi engineers. Ultimately, the system helped the engineers identify and distinguish between “must-have” and “nice-to-have” features based on customer demand, which then improved the next round of simulated prototyping.

The carmaker’s iterative engagement with customers paid off: Audi recently won awards for its infotainment systems, including being named Connected Car of the Year in 2012 and 2013.

Audi’s product development teams continue to explore new ways to involve customers in early-stage product development, including refining hardware prototypes. At a Milan furniture show in 2012, the company used thermal-imaging technology to collect data from nearly 1,500 people who tested out its R18 Ultra Chair. The data and customer feedback were fed into a proprietary algorithm and used to guide further iterations of the Ultra Chair. The net effect on design engineering is more data from a wider array of sources knitted together in faster and richer design cycles.

Carmakers aren’t the only ones that see the value of rapid iteration. Pharmaceutical companies have turned to “combinatorial chemistry”—an iterative process of drug discovery that quickly synthesizes compounds and then tests and refines the drugs based on customer data. Pfizer, for instance, is investing heavily in combinatorial chemistry as part of its effort to develop medicines for people with neurological disorders, such as Alzheimer’s and epilepsy.

Retail banks, public-sector service agencies and educational institutions are all experimenting with rapid iteration in an effort to better align themselves with customer needs, drive costs out of their development processes and gather valuable data that can accelerate their own evolution.


Process recombination

How do you feel about managing robots? The prospect isn’t as far-fetched as it sounds and could be coming soon to a job near you, thanks to process recombination—reallocating work processes between people and intelligent tools or even robots. In other words, “teaming with machines” may become the norm.

How do you feel about managing robots? The prospect isn’t as far-fetched as it sounds and could be coming soon to a job near you. Robotic devices have been transforming physical work since the 1960s. But only in recent years have robots moved beyond simple replication of human activity (such as welding or steadily placing microscopic parts) to include intensive interaction with—and learning from—human beings. The next five years promise dramatic changes in how work is designed to capture even more of their potential.


Advances in machine vision and software controls for robots are behind two approaches to work design that are growing in popularity and impact. The first is relatively familiar: Humans use remote control robots to “project” themselves into toxic or dangerous situations—bomb disposal, for example. Increasingly, another sort of guided robot is showing up in medical and even educational applications. With telerobotics, doctors can “visit” patients by maneuvering a robot equipped with a camera and video screen through hospital corridors. Homebound sick children can still attend classes through similar devices.

The intelligent warehouse
The second approach is more novel: Small, flexible robots interact with human workers by sensing and adapting to their shared environment in real time. This requires a more intensive exchange of information between people and machines. Sound too sci-fi for you? It’s simpler than that. Consider, for example, what’s behind your ability to receive mixed packages of books, clothes and vitamins from so cheaply and rapidly.

In 2012, Amazon, looking to overhaul its vast distribution facilities, acquired robot maker Kiva Systems for $775 million. For some observers, the high price and Kiva’s low profile made this a head-scratching decision. But Kiva’s robots have allowed Amazon to reshape a work process that had been arduous for humans alone: unpacking goods, storing them, “picking” them to ship for individual orders and then bundling them into boxes for actual shipping. Taking care of these tasks, a warehouse worker can walk between seven and 15 miles per shift.

Here’s where the robots come in: A central computer system controls an army of robots that do all the heavy lifting of retrieving and bringing the stock to a workstation, where a “pick worker” (a person, not a robot) puts the correct item into a box. The design increases the speed and accuracy of order fulfillment, and frees up some workers to focus on process improvement for customers.

Warehouse operations benefit from this intelligent process, as software commands are continuously improved. Kiva’s robots are designed to interact autonomously in the warehouse environment, traveling the most efficient path and even knowing when to recharge themselves. The contributions of mobile, flexible robots, at Amazon and elsewhere, are only likely to increase over time.

Swiss robotics maker ABB, in response to customer input, developed the ABB Dual Arm robot (formerly known as FRIDA, for “Friendly Robot for Industrial Dual-Arm”). A team from MIT created an algorithm for this concept robot, which would enable it to learn an individual’s preference for a certain task and then adapt so that it could help complete the task. As a test case, the researchers looked at spar assembly, the process of building the main structural element of an aircraft’s wing; in the future, the Dual Arm (which is not a commercial product as of this writing) may be programmed to help with spar assembly.

Boston-based Rethink Robotics has gone even further. Its next-generation robot, the Baxter, has a variety of sensors that effectively allows it to see with its hands. What’s more, it not only interacts with humans—it can learn from them. If Baxter is shown part of a specific task, the robot can figure out how to perform the rest of that task.

Such human-robot collaboration is just the beginning. When humans and robots have time to learn from one another, the results get better. A recent study on human-robot cross-training—in which a human and a robot perform a task together but frequently switch roles—found that productivity improved in both humans and robots when each side learned how the other works. Rodney Brooks, cofounder of iRobot—maker of robots for everything from military operations to the Roomba vacuum cleaner—suggests that robots have huge potential to revitalize and sustain small manufacturers. This can be seen in Rethink Robotics’ Baxter, which can be up-and-running in an hour—a profound improvement over the 18 months it can take to integrate an older industrial robot. Sounds pretty manageable.



Centralized corporate managers now command terabytes of data. As masters of the data, they should control decision making—right?

Well, yes, up to a point. But technology that gathers localized data can empower local decision making in a process we call edge-centricity. With edge-centricity, information and decision-making authority are pushed out to the most customer-facing points in the organization, where the information can be put to the best practical use.

A case in point is convenience grocer 7-Eleven. The company’s retail information system—a technology that collects data from point-of-sale terminals and transmits it in real time to a data repository—has brought about a reimagined work process of inventory management on a store-by-store basis. By embracing an edge-centric mindset, the company has given local managers considerable leeway in deciding what to stock—shifting crucial responsibilities from senior executives to store managers in thousands of locations.

Using analytics software, the system sifts the data for clues about customer demand, pricing and possible product innovations. Managers receive daily, weekly and monthly sales figures. For fresh-food items, managers base their daily orders on that day’s sales from the previous week, taking into account other factors.

Take, for example, one simple but unusual key to the retail system’s value: Since retail sales depend on the weather, the company provides weather forecasts to help managers gauge demand. As, say, a hurricane develops, 7-Eleven managers are able to assess conditions and adjust inventories to meet changing demand.

Localizing responsibility
Humans remain very much in the loop. In fact, through this technology, managers and employees are now operating in analytical roles—monitoring daily activity in an effort to harness and capitalize on data as it surfaces. They are also responsible for noticing and documenting such variations as shifts in the weather, local or neighborhood social events, political demonstrations and the like.

The process pushes responsibilities to those who truly understand the clientele, using technology that relays crucial information at a rapid pace. In the past, it was nearly impossible for a convenience chain to operate with a localized mindset, yet digital innovations have enabled 7-Eleven to return to its initial formula for success—pinpointing local consumer preferences through groundwork instead of taking a one-size-fits-all approach.

The benefits of edge-centric work design aren’t limited to improving consumer choices. Bill Ruh, vice president at General Electric Co.’s global software and analytics center, told us how the company is building edge-centricity into industrial operations. For example, power plant operators need to know immediately if they can ramp up turbines during times of peak demand without causing breakdowns or damaging the machinery. Right now, they have to get someone to model the situation for them—and that can take days.

Similarly, GE Transportation is designing technology to improve railroad operations. Using sensors to track some 250 different variables, operators can constantly monitor equipment, determine schedules and plan for locomotive servicing. This technology also helps push decision making to the edge. Train operators can work in close contact with a help desk to monitor changes and make quick decisions about routes, schedules and maintenance.

Choose wisely
What are the major implications of intelligent processes and the attendant work-design options for the skills of managers and workers?

First, managers and workers alike need to adopt an experimental mindset and skills. A firehose of data won’t put out a fire if managers don’t know how to direct it. Managers and workers will need to get more comfortable using data to design experiments that lead to meaningful results.

They will also have to live by rules that appear exotic now—along the lines of Facebook’s admonitions to “move fast and break things” and “done is better than perfect.”

They will need to reward experimentation and foster a culture that encourages resilience in the face of inevitable failures. Companies have a steep learning curve ahead of them.

Second, managers will have to recognize that their real value-added contribution will increasingly take the form of judgment rather than knowledge creation. Knowledge work won’t disappear completely. But much of what is currently referred to as knowledge work—the formulation of plans, completion of forms and coordination of data files—will soon be done by software guided by algorithms. What remains is judgment work: balancing opposing views and stakes, crafting a plan of action and making decisions. But judgment requires insight drawn from experience, and experience often involves a form of experimentation.

Third, managers and professionals (whether they are in engineering, medicine, marketing, business strategy or operations) will need to get accustomed to taking advice from machines. No one disputes the value of contextual knowledge and human judgment, but it is a limited perspective—being able to see only what’s out your own window—that has most often prevented managers from seeing and exploiting opportunities for great gain.

Finally, managers need to understand that the pursuit of intelligent processes is a choice. They can choose conventional approaches, but if they do, they shouldn’t expect the powerful results that can come from intelligent processes. Capturing the benefits of new technology will not be automatic.

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OnePlus is is getting into a new line of business: making TVs. Best known for its phones, China’s OnePlus also has a small catalog of really good accessories like wireless earphonesand surprisingly awesome backpacks, though nothing as complex or expensive as a television set. In announcing the news on the OnePlus online forums, company chief Pete Lau describes it as “the first step in building a connected human experience.”

Every hardware manufacturer is now looking intently at ways to monetize the smart home space. Samsung and Huawei recently announced smart speakers, Apple and Google already have the HomePod and Google Home, respectively, and Microsoft and Sony are old incumbents with their Xbox and PlayStation consoles. OnePlus has decided to make its entry point into this market the TV itself, which has always been at the center of home entertainment, though often with the help of other connected devices. Reading Lau’s teaser announcement, the OnePlus TV — which so far only has a project name, no timeline or specs have been revealed — will serve as the connectivity hub for OnePlus’ future vision of the smart home.

The OnePlus smart TV will be developed by a new division within OnePlus, led by Pete Lau himself. Still at the earliest stages of development, OnePlus is currently seeking input from its fans, as it often does, about what their priorities with a future smart TV will be.

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The Summit, organized by Dedalus Global, gathers innovators, investors, policy makers and other key stakeholders in the Fintech sector to discuss technologies transforming finance on the continent, debate regulatory policies, compare best practices, and forge new ventures
LAGOS, Nigeria, September 17, 2018/ — Africa’s premier fintech event, the Africa Fintech Summit, ( will be held for the first time in Lagos, Nigeria, onNovember 8-9, 2018. This event comes on the heels of the earlier edition in Washington D.C. which featured leading policy makers, c-suite business executives, start-ups, and investors.

The Summit, organized by Dedalus Global, gathers innovators, investors, policy makers and other key stakeholders in the Fintech sector to discuss technologies transforming finance on the continent, debate regulatory policies, compare best practices, and forge new ventures.

Speaking on the decision to bring the Summit to Lagos, the Chairman of the Summit, Leland Rice, said, “Lagos is an ideal host city; it’s an epicenter of Africa’s fintech revolution and the driving force behind the continent’s entrepreneurial spirit. The successes of companies such as Paga, Flutterwave,, and Paystack have strategically positioned Lagos as the destination of choice for investors.”

“The first edition of the Summit in D.C. was a launch pad for several milestone fintech deals struck among its delegates in the months after the event. We plan to build on these successes in Lagos, with a focus on bringing innovators and policy makers together to move the needle on fintech regulation and bringing founders and investors together to facilitate further capital raises,” added Leland.

The two-day event will feature investor missions from the US, UK, and UAE, an Alpha Expo featuring the most exciting startups and entrepreneurs in Nigeria, a half-day blockchain masterclass, and an awards ceremony.

Reacting to the decision to host the Summit in Lagos, the Senior Special Assistant to the President on Technology, Lanre Osibona, stated, “This reflects the progress Nigeria is making in the areas of technology and financial services. The event is very important as it comes at the heels of the Vice President Osinbajo’s trip to Silicon Valley to promote Nigeria’s tech sector. We look forward to collaborating with the organizing committee and to a successful event in Lagos.”

In similar vein, Tayo Oviosu, the founder of Paga—a payment company that recently raised $10 million in Series B2 funding—said that “the Africa Fintech Summit in Washington D.C. provided valuable insights into the fintech space and connected me with key players in the industry. I look forward to the Lagos edition.”

Speakers lined up for the event include Chief Economist of PwC Nigeria, Dr. Andrew S. Nevin; Managing General Partner of EchoVC, Eghosa Omoigui; CEO of Diamond Bank, Uzoma Dozie; Founder of Flutterwave, Iyinoluwa Aboyeji; and CEO of PayStack, Shola Akinlade, whose company recently raised $8 million Series A funding

Distributed by APO Group on behalf of Dedalus Global.

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For more information, please contact:
Ridwan Sorunke
Directory of Communications, AFTS
+234 (0) 8037885760
+1 2023166726

About Dedalus Global

Dedalus Global ( is an investment and strategy advisory firm focusing on emerging markets and emerging technologies. With networks throughout Africa and the Middle East, we leverage granular market knowledge to drive innovation, accelerate capital deployment, and create value for our clients and the economies where they operate.

About Africa Fintech Summit (AFTS)

The Africa Fintech Summit ( is a biannual event that brings together leading disruptors, tech and finance professionals, regulators, and investors from around the globe to debate policies, compare best practices, and forge Africa-focused ventures. AFTS leverages the growth of the fintech sector in Africa to bring key stakeholders to discuss the technologies transforming finance on the continent.

To learn more about AFTS, please visit

View a recap from the AFTS Washington:

Dedalus Global

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Amazon is said to be prepping an ad-supported streaming video service; it’ll be available to folks who own any of the company’s Fire TV streaming dongles and set-top boxes, reports The Information.

It’ll be separate from Prime Video, which offers a range of licensed shows and movies, as well original content produced by Amazon, to people who are subscribed to Prime.

Amazon's latest streaming device is the Fire TV Cube
Credit: Amazon
Amazon’s latest streaming device is the Fire TV Cube

Do you like good gadgets?

Those sweet cool gadgets?

Oh, yeah

The idea behind this upcoming service, which is dubbed Free Dive, is to help Amazon bring in more revenue through advertising. Ads presently account for a small fraction – about $2 billion out of more than $200 billion – of its annual revenue, but they offer higher margins than retail, and are one of Amazon’s fastest growing earners company-wide.

To that end, the company’s been selling ad space on its site, and is slated to run ads during live sporting events on Prime Video. It also turned off ad-free viewing on Twitch – its game video streaming service – for Prime subscribers earlier this month.

Free Dive could give Amazon a chance to rival Roku, which offers a similar ad-supported streaming service for owners of its devices and is expected to reach 59 million users by the end of 2018. Roku also made its ‘Channel’ service available via the web earlier this month to folks in the US, so you don’t need the company’s hardware to access it. It’ll be interesting to see if Amazon follows suit – and how it plays its cards with customers across the globe, especially in cost-conscious markets like India, where it’s expanding its media offerings.

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