innovation playground Idris Mootee

In Algorithms We Trust. Do We?

Let's try to paint a likely not-too-distant future. In this future, everything around us will be managed by algorithms. They manage and recommend what we want to watch; they control traffic of our driver-less cars; they control those drones which deliver our pizza; predict for you which one of your friends will become your future spouse, etc. They will make our life effortless and predict what things will happen next or what's best for us. We all wish that it is that simple.

As we are picking up massive data every second, algorithms are critical to how we make sense of them and our reliance on algorithms is growing by the second. But how much faith should we put into those algorithms, and how reliable they are depends on who you talk to. The accuracy of the algorithmic differentiation (automatic differentiation) is key in dealing with data volatility in many complex cases where accuracy of data is critical to the final outcome. I don’t know when we can have statistical evidence comparing how often driverless cars mistakes and how often human drivers make mistakes or how well a software program investing in stocks makes mistakes and human making investment mistakes.

We need to develop programs to check whether algorithms are working as they were intended and monitoring algorithms by the results they produce based on machine performance metrics. Vetting algorithms in advance isn't practical at all as many are too complex for their outcome to be predicted. Algorithmic differentiation is used to fine tune algorithms that are complex to optimize. We will be placing our faith into the accuracy of these algorithms and trusting that they will deliver. I think we may be over-optimistic and mining a lot of data using statistical analysis still has a very strong random component to it. To optimize these models we need algorithmic differentiation and sometimes it feels like a scientific random number generator. The more data we have, the more simulation is needed and the more reliance on the significance of data, and significance means sensitivities. We’re in the midst of a transformation when industries are exploring how to use big data to create new business models.

There’s one certain thing in big data, it’s that all algorithms are not created equal. The biggest question is how many jobs will disappear when algorithms take over human jobs? People ask the same question during the first industrial revolution when machines started making goods a lot faster and cheaper. Are we entering a world in which the algorithms themselves will be competing with humans? Honestly, I just don't like it when algorithms make decisions for us. They can help me analyze my options and probabilities, but not making a decision until they prove that they can think smarter than me. And so the game begins…

I Am Not A Gadget! Or Am I Becoming One? How Close Are We From A Full Blown Computional Culture?

Sometimes I feel like I am a gadget. We all performing various specialist and general tasks everyday and somehow you feel each of these tasks are not related. And the worst part of our job is to perform something that is so tedius and doesn’t really require any creativity, analytic and imagination. And you wonder why this work cannot be done by a gadget. Or if I am doing the job, does it mean I am a gadget?

There are over 600,000+ personal pocket gadgets out there for whatever purposes and over 700,000 apps for iPhone 7000,000; Android and 99,500 Blackberrys to turn your smartphone into a gadget. There's an app for almost anything and someday my resume will look like my iPhone and people will look at how many apps I have to decide whether I qualify for that job.

Human is supposed to be good at problem solving. Or at least we think we are, I am not getting into that debate. There are differences between the different types of problem solving from pure creativity to system level thinking or analytical processing.  Creativity requires periodic, temporary “encapsulation” as opposed to constant calculation or recalculation. You need time for working privately as well as times for group ideation. Encapsulation is what allows for the possibility of self-testing that enables a quest for excellence.

The big question is will the proliferation of gadgets push us towards a more creative culture where our time is better spend on the creative side while our gadgets take care of the rest or in another scenario where these micro-computing machines (gadgets) will take over and we will be pushed towards a computational culture?

All these micro devices, bit data-warehouses and pervasive communication facilities are now omnipresent in our daily activities. The way we live, work, play, communicate and interact with each other is in permanent flux due to the influence of these cool gadgets. Historically speaking, technologies are developed as a result of the need for faster means of calculation to achieve the unachievable before the world emerging into a full-blown computational culture. Emerging in its modern form in the seventeenth century after the introduction of typography, that culture, it is here argued, remains dominant today.

Can future gadgets evolve to a point that they understand our feelings and not just commands and preferences? As part of our extended mind and heart and algorithm that can add feeling to an otherwise mathematical, non-physical, and consequently non-aesthetic, thought? This is the theme of the next issue of MISC for March. Look out for the big Gadget Issue.

Powerful And Affordable Real Time Data Mining, Visualization And Interactions Are Powering Up A New Culture Act - And Enabling "Infovation".

Just landed in Rhode Island and spendin the next 2 days in Providence, long working sessions ahead, expect to some productive knowledge exchange. The topic will be around where arts meets science, design meets technology.

We talk about how information changes our life and how it affect the way we make decisions both as individual and as a team or society, I think we are still unaware of the true power of change information visualization can have and the impact when applied in an interactive and social mobile settings.

Imagine a scenario everytime a politician suggests an idea and you can see realtime information in simple graphics visual data to confirm his/her coment or when a company makes a statment you can see how other respond with an instant trust index? That's a very likely future, an idea which I am working on. Can't say more.

And I don’t mean just data visualization such as bar chart and 3D chart etc, primarily it is the study and application of the visual representation of quantitative data, meaning "information which has been abstracted in some schematic form, including attributes or variables for the units of information."

Infodesign of infographics is actually different (it is like when I was trying to explain the differencne between customer experience and user experience/usabiity 10 years ago) from data visulaization. Information graphics (or so called infographics) instead of visualizing data, it is the strategic use of data by incorporating interactions, icons, charts, diagrams, graphs, tables and maps to present information that could bring new knowledge and sense making. Not only it helps to explain oterhwise difficult to understand data, but also illuminate and explain system complexities or system relationships in an easy to digest manner.

This is not new, in our human history our ancestors created cave murals and giant paintings to show us what was happening including what their understand of the the world, an event or even the universe. The power of infodesign lies in its effectiveness in simplifying complex data into understandable visual representations that can be universally interpreted.

The power of real time interactions with live data brings the potential to a whole new level. The human minds are real time computing machines that works to constantly changing and creating value and meaning of objects; the interactions between human brain and semiotics is conducted every time we see a visual representation of a scenario and makes possible of expanding our human cognition to absorb large amounts of data at just one single glance or click.

Here comes the most interesting part, infodesign is powering up an “infoculture” where massive real-time socailly digitally distributed (useful and useless) information is enabling a new form of cultural act. It is where science meets arts, and will continue to power up new possibilities as we learn how to use them. I will be the first one here to call it “Infovation.” Remember you hear it here first. Will write more about it next few days.

One more thing, how many schools out there actually teaches information design? Not many. We are still training people yesterday's skills for yesterday's job. No wonder it is hard for designers to find work. I think design schools should be paying for the continuous education of their graduates, becasue they never trained them enough or properly in the first place.