The Next Big Thing
Posts about next generation technologies and their effect on business.

Enterprise Automation: a cure for matrix management woes?

 

automated decisions.pngMatrix management came about to increase communications, flexibility and collaboration between the various parts of an organization. In the process, some people view that it has increased the latency in decision making and the ability of organizations to respond quickly to situations.

In a recent HBR article, Tom Peters wrote about moving Beyond the matrix organization. In the article, he talked about the issues matrix organization structures are trying to address and the various unintended consequences.

 

We have new tools today that can address communications, flexibility and collaboration (among other characteristics) that didn’t exist when the concept of matrix management was formed. The article states:

 

“Under the time-honored principle of management by exception, the organization runs itself until divergence from plan triggers off a warning signal. However, in today’s complex organizations, equipped with overly elaborate planning and control systems, warning signals are constantly being triggered. Giving the attention of top management to each (the implicit consequence of matrix structure) means dissipating the company’s sense of direction.”

 

These seems to be exactly the kind of issue that cognitive computing techniques and automation could be applied, sifting through these triggers and handling the ones that are understood and focusing our creativity on those that actually could benefit – we have the compute power. The alerts coming from these systems would not be distractions, but opportunities. We’re seeing exactly these techniques enabling cloud computing, enabling leveraging of large arrays of resources. Now it just needs to be expanded into the rest of the enterprise.

 

 

The shifting world of business continuity

disaster2.pngI was in an exchange this week with an individual talking about business continuity. The view that business continuity needs to focus on:

An organizations business continuity approach need to be reassessed in a world of high levels of automation, contracting for services and reduced latency. The very definition of foundational terms like ‘work location’, ‘services’ and ‘support’ are changing. Diversity of perspective is likely to be a critical component of any kind of timely, situation response.

 

“The management of business continuity falls largely within the sphere of risk management, with some cross-over into related fields such as governance, information security and compliance. Risk is a core consideration since business continuity is primarily concerned with those business functions, operations, supplies, systems, relationships etc. that are critically important to achieve the organization's operational objectives. Business Impact Analysis is the generally accepted risk management term for the process of determining the relative importance or criticality of those elements, and in turn drives the priorities, planning, preparations and other business continuity management activities.”

 

In today’s environment, business impact analysis is becoming ever more technical and the interconnection between environmental factors more complex. We have seen situations recently with program trading that an entire financial institution has been placed at risk when their automated trading responds in an unforeseen fashion or their governance breaks down. We’ll be seeing similar techniques applied throughout organizational processes.

 

The response to almost any situation can be enabled by techniques like VOIP and other approaches that allow additional levels of abstraction. Simulations can be used to understand the implications of various scenarios as part of business continuity planning.

 

As I mentioned back in March:

Having an effective, robust approach to business continuity is part of management, security and many other roles within an organization.  It is important to remember that there is a cost for being unable to respond to an incident.

Context, automation and the future of services

looking for direction.jpgThere recently was a story about a computer program that passed the Turing Test. When you get into the details of what was actually done, I am not sure it really qualifies. The fact that people are talking about the event though is enough to show that we’re pretty far down the road toward breaking down the perceived barriers between machines and human interaction.

 

These advanced levels of interaction capability are enabled by a new wave of AI applications that can capture context at scale and in near real-time. These solutions when they move out of the labs should be able to consume massive amounts of information and generate contextual understanding at a level that even the most intuitive individual would find difficult to match.

 

You might ask what does this mean for the future of services. Or where will it be of use to my organization? It should be applicable at just about any point where a conversation occurs with customer or between:

  • employee and employee
  • organization and organization
  • government and citizen

We may be able to automate interaction that isn’t face-to-face and even then it may need to be person to person with the likelihood we can overcome the uncanny valley.

 

These new context-aware, AI enabled interactions can provide a multi-level view on engagements and ‘experience’, allowing organizations to filter through the noise and latency (for example waiting for certain skills -- Spanish language) and shift the focus to an enriching experience, relationships, and achieving goals. I can easily see a future talking with an AI agent at the drive-up window, as a low-hanging opportunity.

 

The recent book The Second Machine Age, examines how society, the economy, and business will transform as digital technologies and smarter machines increasingly take over human occupations.

 

It makes you look for direction about who will robots put out of work? This interactive graphic from Quartz takes a stab at answering that question—exploring which U.S. jobs are most likely to become automated, and how many workers could be affected.

Preventing the IoT from being the Oort cloud of the enterprise

riding comet.pngLast month, IEEE Spectrum had an article on how Most Technologists Upbeat About Future Internet of Things and I am optimistic as well --do you really think being down about it will prevent it from happening? I mentioned that ubiquitous power is a prerequisite for the IoT to really take off, at least for some applications.

 

On the same day I gave an IoT intro presentation I was in an exchange with CIOs about rogue clouds, in the process I made a joke pointing out that rogue clouds are the Oort cloud of IT - an area we don’t pay any attention to until something is about to impact our business.

 

There are a number of challenges for technologist to overcome. For every positive aspect, there is a negative trap to fall into and be prevented or at least understood.

 

Challenge

Positive

Negative

Privacy/Security

A view into what is actually going on

Passive oversharing

Identity

Knowing what is what

Device ‘identity’ mistaken for true identity- people become a network address

Efficiency

Speed

Unemployment

Decisions

Automation takes latency out

Loss of freedom and understanding, if automation becomes just another legacy system

Culture

Gamification

Big Brother and data bias

 

What are some of the other issues that have both positive and negative dimensions??

Autonomous vehicles now, near and someday

autonomous car.pngIEEE Spectrum had an article on the current state of self-driving cars -- many of these features are already in commercially available cars. They may not seem like much, but they are the foundation for those fully autonomous cars we keep hearing about. It will be closer to the end of the decade before we see those in any volume.

 

One of the areas that will be deployed sooner is vehicle-to-vehicle (V2V) communications. V2V communications is made up of a WiFi like wireless network where automobiles (and infrastructure – V2I) send messages to each other with information about what they’re doing. This research once implemented should aid people in driving more safely, by taking latency out of the response to situations.

 

This will have all the complications and security/privacy requirements that IoT implementations should address.

 

It is not just cars we’re trying to make smarter, there are also efforts to make the roads smarter as well.

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About the Author(s)
  • Steve Simske is an HP Fellow and Director in the Printing and Content Delivery Lab in Hewlett-Packard Labs, and is the Director and Chief Technologist for the HP Labs Security Printing and Imaging program.
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