Data driven decisions & actions: “Descriptive, predictive & prescriptive analytics” Dutch

Artificial Intelligence, Business Model Innovation, Business models, Caesar Experts, data, Digital maturity, digital transformation, Innovation

Deze blog verscheen onlangs op de Caesar Experts blog en is een gezamenlijk geschreven artikel door Gertjan Hendriks, Progress Corticon Consultant & Rick Bouter, Innovatie Consultant.

In een blogserie van twee artikelen gaan we in op de alomvattende Big Data-vraag “Hoe benutten wij onze Big Data nu optimaal?”. In deel 1 bespreken we de obstakels die je tegen kunt komen en wat ons antwoord is op deze vraag: Analytics Continuum – Data Driven Decisions & Actions (DDDA).

What to do?

Wat kan mijn organisatie allemaal met haar data? Een vraag die wellicht menigmaal door uw hoofd gespeeld heeft als manager of beslisser. Omdat veel bedrijven deze vraag hebben, wordt de markt op het moment dan ook overspoeld met toepassingen, technologieën en methoden. Logisch ook, want het antwoord op de vraag “Wat kan ik allemaal met mijn data?” is alomvattend voor het bestaansrecht van uw organisatie. Voor veel organisaties zal deze wedstrijd de laatste in hun bestaan zijn.

So much data, so little time

Er is een variëteit aan data beschikbaar in en om uw bedrijf: financiële data, klantdata, transactiedata, procesdata, etc. En dan is er nog het verschil tussen gestructureerde data en ongestructureerde data en ga zo maar door. Wat niet helpt is de onwetendheid en vragen rondom dit thema. want:

1. Hoe bereik ik deze data? 

2. Wie is er eindverantwoordelijk voor deze data? 

3. Hoe maak ik van al die losse silo’s een Data Lake?

The shift from man to machine

Veranderingen volgen elkaar steeds sneller, ook op het gebied van data-analyse. Gartner heeft deze beweging mooi weergegeven in haar “Analytics Continuum”. In deze afbeelding geeft Gartner weer wanneer de volwassenheid van data analytics groeit, de input van de mens nihil wordt of zelfs verdwijnt.

Business Analytics from basics to value

Goed om de trendlijn in de data-analyse inzichtelijk te hebben, maar nu weer even terug naar de originele vraag – Hoe benutten wij als organisatie onze Big Data nu optimaal?

Van constateren en signaleren naar acteren

Stap 1. Descriptive – Constateren 

Middels Descriptive Analytics kunt u als bedrijf inzichtelijk maken wat u als data heeft en daarmee vaststellen wat er de afgelopen periode is gebeurd. Dat lijkt op het reguliere Business Intelligence, wat wellicht al binnen uw organisatie wordt toegepast, zij het dat in dit geval de brondata mogelijk iets meer divers is dan uw huidige datawarehouse.

Stap 2. Predictive – Signaleren

Gaat u nog een stap verder, dan kunt u basis van de voorgaande constateringen middels Predictive Analytics gaan voorspellen en presenteren welke inzichten u nu heeft en/ of signaleren wat er mogelijk zou kunnen gaan gebeuren. Een stukje Machine Learning kan hierbij tot soms verrassende nieuwe inzichten en resultaten leiden.

Stap 3. Prescriptive – Acteren 

Leuk dus, al die constateringen en voorspellingen. Maar hoe gaan we hier concrete acties aan hangen? Want met voorspellen alleen houdt het niet op. We willen het liefste direct gaan acteren op die signalen. Met Prescriptive Analytics krijgen we een concreet advies over wat er moet gaan gebeuren, inclusief het eventueel direct uitvoeren van acties. Op het moment dat we over geconstateerde feiten beschikken, dan kunnen we concrete beslissingen gaan nemen of laten nemen. En dat gaat verder dan het automatisch ontsteken van uw barbecue bij warm weer, of het openklappen van een paraplu bij het detecteren van de eerste regendruppels.

Next step

In deel 2 gaan we wat dieper in op de Predictive- en Prescriptive fases, en hoe u deze optimaal kunt benutten om voordelen voor uw organisatie te realiseren.

Deze blog is een gezamenlijk geschreven artikel door Gertjan Hendriks, Progress Corticon Consultant & Rick Bouter, Innovatie Consultant.

Digital Transformation: “Making sense of the mess we made with it”

Artificial Intelligence, Business Model Innovation, Business models, Capgemini Consulting, Digital maturity, Digital Strategy, digital transformation, Innovation, Leaders, Leading Digital, Marketing, technology

 

This article originally appeared on SogetiLabs

 

Digital Transformation

It does not matter how big or small you are. Concepts of innovation are overwhelming your feeds on different social platforms. Over-hyped technology buzz-words and start-up (or whatever) approaches are knocking on our doors… but do they make sense?

 An important thing to remember is to start with your company goals and apply technology to achieve these goals. Not the other way around. A lot of companies are adopting different types of technologies, but have no clue about what they should do with it.

Let us start from the beginning. We are living in a Digital world. Technology is everywhere around us. With Digital going mainstream, we will talk about Digital Transformation.

In a nutshell: 

  “Digital Transformation is the collective noun of the movement, which intertwine the physical and digital world to better determine client, customer and target audience needs to deliver excellent products & services with an excellent digital experience by the use of new technology.”

If you ask me, Digital Transformation is the process that companies follow when applying new technology to reach company goals. It’s about having a strategic mindset of what you want to reach and then applying the fitting technology to get a step (or a few) closer.

Digital Transformation is a new way of developing / working / delivering for you and your company; but it improves those items on various aspects. Think about the possibilities for items like: Visibility, efficiency, effectiveness, value creation, speed, scalability, customer experience, product development, innovation and so on.

An important thing to remember is: Step out of all the rumors and think about your vision. What do you want to reach? Then apply the right technology, which supports that vision.

Another important thing to note is: Be where your target audience is. Let your company be inspired by the way your customers use Digital solutions and facilitate them in using it. Make their lives easier by adding value to the reason of your existence, your products and services.

Of course, Digital Transformation is going to change the way you develop / work and deliver. Of course, your business model will change. But it will change your business model in a way to get closer to the people you serve. Is it a bad thing? No way. It has always been like this and will always be. The only thing that changes is the trend or technology we are talking about. In a few years, you will only remember the following:

“Digital Transformation: The paradigm shift towards business as usual”

If you want to learn more about Digital Transformation and find out answers on questions like:

  • “What is Digital Transformation?”
  • “How can I use Digital Transformation in my advantage?”
  • “How to adapt/ implement a Digital Transformation Strategy”
  • “How can I offer solutions that serves the client/ customer need in 2020?”
  • “What is the relation between Digital Transformation & Digital Customer Experience?”

Click here

Digital Transformation: The paradigm shift towards business as usual

AI, Artificial Intelligence, Brian Solis, Business models, Capgemini, Capgemini Consulting, Didier Bonnet, Digital maturity, digital transformation, George Westerman, IBM, Inspiring, Internet of Everything, Internet of things, IoE, IoT, Leaders, Leading Digital, technology

Where back in the days technology, techies, were seen as weird people which every office needed for I(C)T development and maintance, this view has changes. We are now looking with respect to all kinds of self-made technology billionars of Sillicon Valley. Compared to the pre 2000’s, technology is a hot topic. There is a lot of noise around different elements and types of new technology. Whether we talk about 3D-printing, Augmented Reality, Big Data, Social, Mobile, Analytics, Cloud, (SMAC) + Internet of Things (SMACT), Wireless Power, Robotics, Computer brain interfaces, Human Augmentation, Artificial Intelligence (AI), Digital Customer Experience (DCX), all these topics are in the marketing buzz machines of big industrial leaders or even made on kitchentables by (as Chris Anderson called them) the makers of these days. Lets deepdive in the topic Digital Transformation:

  • “What is Digital Transformation?”
  • “How can I use Digital Transformation in my advantage?”
  • “How to implement a Digital Transformation Strategy”
  • “How can I offer solutions that serves the client/ customer need in 2020?”
  • “What is the relation between Digital Transformation & Digital Customer Experience?”

If you ask me:

“Digital Transformation is the collective noun of the movement which intertwine the physical and digital world to better determine client, customer and target audience needs to deliver excellent products & services with an excellent digital experience by the use of new technology.”

The reason  why I come up with this definition is as follows. Every company exist because it delivers some sort of value, in some sort of way, to some sort of audience. A lot of ‘some sorts’, you might say, and, you are right. But does your company knows, why they deliver what to whom? If you are thinking, on one of those point above I have know idea what I am doing, keep on reading. If you do this already, congratiulations, keep that position. On the other hand, who says that you are doing this already? You, or your client? That is right, keep on reading as well.

Digital Transformation refers to the use of digital tools, new technology to better define customer needs. When companies can define customer/ client needs in a better way, they can provide a better solution. A better solution, whether it is a product or service. Defining customer needs has always been the key activity in marketing. And, even this core activity has changed to ‘hang out’ on digital for some brands, defining needs is key. Because delivering what your audience need is the reason why you exist as a company. To build upon that, customers are getting more and more familiar with digital concepts. Adoption of new technology is increasing by wearable technology and so there is a shift of channel choise on the client side. For that reason companies should make sure that they deliver in the new JIT methode. In the right channel, on the right time, delivering the right solution for the customer need. That it, bottomline, what every new technology is about. Increasing your company to identify B2C/ B2B needs to provide them with better solutions.

The Guardians ‘s Howard King describes in his article called: “What is digital transformation?”  three key drivers of transformation:

“There are three key drivers of transformation: changing consumer demand, changing technology and changing competition. These, of course, are an ecosystem and it is always a convergence of factors that brings about changes in a market.”

There is no such thing as disruption

There is no such thing as overall disruption. The only thing we see today in different market segments all over the world is that companies deliver their belief in a different way then they used to deliver. The Digital way. The reason for this is, that they need to… Customers, clients and target audience groups can no longer be found in traditional channels. Therefor, companies need to change the way they deliver their reason of existance in other, non traditional, channels. And that relates also to another topic where a lot of people are thinking about these days: Digital Customer Experience (DCX).

But, even is Digital Tormation as a fall of business as usual, it tells us something else: “Digital Transformation: The paradigm shift towards business as usual”

Adapt or Die

And that, that is what I call: Digital Transformation. For that reason I will give you the same advice as my Sogeti ViNT colleagues. Design To Disrupt.

“Are you the one who is going to disrupt, or are you going to be disrupted?”

Here is the complete article on Slideshare

This is my point of view on Digital Transformation, now lets see how you can improve your digital journey!

Digital Transformation Strategy Review

Are you interested in the topic: Digital Transformation and how it impacts business and strategy? Take a look at the: “Digital Transformation Strategy Review” community on LinkedIn.

Harvard i-lab | The Business of the Internet of Things with Chad Jones

AI, Artificial Intelligence, Business models, digital transformation, Harvard, Harvard i-lab, Inspiring, Internet of Everything, Internet of things, IoE, IoT, technology

The Business of the Internet of Things brought to you by Harvard i-lab:

“The next great paradigm shift in the Internet will be the inclusion of the Internet INSIDE of everything we see in the physical world. Described as The Internet of Things (IOT), the Internet of Everything and the Industrial Internet, it promises to revolutionize not only how we discover, interact and understand our world, but the way we experience our everyday private and working lives. This evolution in technology has captured the imaginations of education, government and businesses alike.

The IOT also presents an unprecedented opportunity for entrepreneurs as the market is expected to produce between $1.2 trillion and $14.4 trillion dollars by 2025. However, navigating the complexities of this brave new world can be tricky. This talk will cover the business and technical considerations of building a connected product for the Internet of Things from end to end including the process, business considerations, funding options and go to market strategies that can make you successful with your project.

Speaker: Chad Jones is an expert in cloud, virtualization and IoT technologies. Mr. Jones has over eighteen years’ experience driving strategic initiatives for start-ups and Fortune 50 companies alike and has traveled the world discussing a vision for a better world through technology. At Xively, a subsidiary of LogMeIn (NASDAQ:LOGM) and formerly known as COSM, he drives the strategic product roadmap for Xively Cloud Services™, oversees go-to-market strategy as well as continuing to create and evangelize Xively’s vision for the Internet of Things.”

Source

Harvard i-lab

Kevin Ashton, the man, the legend who brought us the Internet of Things

AI, Artificial Intelligence, Business models, digital transformation, Inspiring, Internet of Everything, Internet of things, IoE, IoT, Kevin Ashton, Leaders, Leading Digital, Massachusetts Institute of Technology, MIT, MIT sloan, technology

What started as a business issue, resulted in one of the most impactfull technology trends we are known with today, the Internet of Things. But what is it and who invented this term? In this article a few insights on What IoT is, and who the brain behind this vision is. If we look to the founding father of the definition: “The Internet of Things” we see Kevin Ashton. Ashton, a visionary mind who took the opportunity to change the world as we know it today. The man who changed our vision on the intertwining of physical and digital worlds. And it all started with lipstick.

Kevin Ashton

When I wrote my final thesis on the Internet of Things back in early 2013s had the privalige to interview Ashton on this topic. His idea on IoT and the further research I did resulted into my definition of IoT:

“Internet of Things (IoT) refer to the collective noun for the general idea to connect the physical to the digital via embedded technology. To receive data from all kind of smart objects from the past, the current and the future to communicate and sense or interact with their internal state or the external environment to simplify and facilitate human life, improve business processes, reduce costs and risks and raise efficiency.“ – Rick Bouter

After Cisco had a conversation with Ashton they made a small summary & infographic of his life which you can find below: “It all started with lipstick. A particularly popular color of Oil of Olay lipstick that Kevin Ashton had been pushing as a brand manager at Procter & Gamble was perpetually out of stock. He decided to find out why, and found holes in data about the supply chain that eventually led him to drive the early deployment of RFID chips on inventory. Asked by the Massachusetts Institute of Technology to start a group — the Auto-ID Center — that would research RFID technology, he found a way to talk about RFID to a less-than-computer-savvy crowd – by coining the phrase the Internet of Things or IoT. Ashton exploded the Auto-ID Center it into an international lab with 103 sponsors. After helping found a few startups, he’s “retired” into writing, with his first book, How to Fly a Horse: The Secret History of Creation, Invention, and Discovery, due out in January.” Listen to the full podcast here! Cisco Newsroom

image_gallerySources

Bouter, Rick, “Internet of Things: for business and beyond (1/2)”, Sogeti ViNT, September 25th, 2013

Many, Kevin, “Kevin Ashton, Father of the Internet of Things & Network Trailblazer“, Cisco Newsroom, December 8th, 2014

Some thoughts on: Artificial Intelligence (AI) – could spell the end of the human race

AI, Artificial Intelligence, Business models, digital transformation, Inspiring, Internet of Everything, Internet of things, IoE, IoT, quantified, technology, Wired

Last week I published an article called: “Stephan Hawking: “Artificial Intelligence (AI)” – could spell the end of the human race” Below an overview of three articles on AI whith some of them building upon Stephan Hawking’s statement on AI: “Artificial Intelligence (AI) – could spell the end of the human race”

 

Wearing Your Intelligence: How to Apply Artificial Intelligence in Wearables and IoT – appeared on Wired.com

“Wearables and the Internet of Things (IoT) may give the impression that it’s all about the sensors, hardware, communication middleware, network and data but the real value (and company valuation) is in insights. In this article, we explore artificial intelligence (AI) and machine learning that are becoming indispensable tools for insights, views on AI, and a practical playbook on how to make AI part of your organization’s core, defensible strategy.

First Definitions

Before we proceed, let’s first define the terms. Otherwise, we risk commingling marketing terms like “Big Data” and not addressing the actual fields.

Artificial Intelligence: The field of artificial intelligence is the study and design of intelligent agents able to perform tasks that require human intelligence, such as visual perception, speech recognition, and decision-making. In order to pass the Turing test, intelligence must be able to reason, represent knowledge, plan, learn, communicate in natural language and integrate all these skills towards a common goal.

Machine Learning: The subfield of machine learning grew out of the effort of building artificial intelligence. Under the “learning” trait of AI, machine learning is the subfield that learns and adapts automatically through experience. It focuses on prediction, based on known properties learned from the training data. The origin of machine learning can be traced back to the development of neural network model and later to the decision tree method. Supervised and unsupervised learning algorithms are used to predict the outcome based on the data.”

 

Sure, Artificial Intelligence May End Our World, But That Is Not the Main Problem – appeared on Wired.com

“The robots will rise, we’re told. The machines will assume control. For decades we have heard these warnings and fears about artificial intelligence taking over and ending humankind.

Such scenarios are not only currency in Hollywood but increasingly find supporters in science and philosophy. For example, Ray Kurzweil wrote that the exponential growth of AI will lead to a technological singularity, a point when machine intelligence will overpower human intelligence. Some think this is the end of the world; others see more positive possibilities. For example, Nick Bostrom thinks that a superintelligence could help us solve issues such as disease, poverty, and environmental destruction, and could help us to “enhance” ourselves.

On Tuesday, leading scientist Stephen Hawking joined the ranks of the singularity prophets, especially the darker ones, as he told the BBC that “the development of full artificial intelligence could spell the end of the human race.” He argues that humans could not compete with an AI which would re-design itself and reach an intelligence that would surpass that of humans.

The problem with such scenarios is not that they are necessarily false—who can predict the future?—or that it does not make sense to reflect on science fiction scenarios. The latter is even mandatory, I think, if we are to better understand and evaluate current technologies. It is important to flesh out the philosophical issues at stake in such scenarios and explore our fears in order to find out what we value most.”

 

Artificial intelligence is here—and it’s nothing to fear (yet) – appeared on qz.com

“Just this week, the world’s most famous living physicist, Stephen Hawking, laid out his worries about artificial intelligence: “The development of full artificial intelligence could spell the end of the human race,” he told the BBC. In October, Elon Musk delivered much the same message, warning that “we should be very careful about artificial intelligence. If I had to guess at what our biggest existential threat is, it’s probably that.”

 “Yet efforts to develop artificial intelligence (AI) continue apace, with all the major (and even many minor) computer science research and development facilities devoting time, energy, and money to making computers behave like humans. Some of them are succeeding: Machines can now understand humans, speak with them, learn from them, and write like them. They will make some jobs obsolete and others easier. But they aren’t—yet—out to get us.”
What do you think?

 

Stephan Hawking: “Artificial Intelligence (AI) – could spell the end of the human race”

AI, Artificial Intelligence, Business models, digital transformation, Inspiring, Internet of Everything, Internet of things, IoE, IoT, Leaders, Leading Digital, technology

Today I read an article on LinkedIn called: “Artificial Intelligence, Over Engineering, Zombie-Filled Planet” and was written by Sramana Mitra

What is Artificial intelligence? Artificial intelligence (AI) is the intelligence exhibited by machines or software. It is an academic field of study which studies the goal of creating intelligence. (According to Wikipedia)

For the reason I found two video’s in the article very interesting I posted them for you below to watch:

The first insight was delivered by proffessor Stephen Hawking. Hawking is the former Lucasian Professor of Mathematics at the University of Cambridge and author of A Brief History of Time

1990023Hawkingsig.svg

 

The second insight video is by Tesla’s Elon Musk

Elon_Musk_LED_Lit_WideElon Musk

Do you agree with Hawkins and Musk?

Sources

Signature Stephan Hawking

Signature Elon Musk