Predicting the future of security

AI, Artificial Intelligence, Cloud, Inspiring

When Rick asked me to write a blog for his platform, I was adamant I could write it about all the new and exciting technology emerging in the security field. We have AI coming up, Cloud Computing is already here and there is even behavior analysis coming into play in this exciting field of work. It would be impossible not to blog about it, right? I sat on the idea for a week, even two maybe and still had no blog. Rick was bugging me over-and-over and I couldn’t figure out why I couldn’t hammer out two pages about the upcoming technology in the security business. Than it hit me: It had to do with my other love in (work) life! Cloud Computing, or more specifically: Public Cloud Computing.

Cloud Computing

Think about it for a while: What are we really trying to secure here? We use VPN’s for private access to a Remote Desktop Server (for remote workers), so they can run some application we installed on that Remote Desktop Server to access data on some other server in a network. We use Private Cloud, Hybrid Cloud and find reasons or regulations why we can’t possibly go to the public cloud or even use traditional systems. However, my prediction is simple: Those are all going to disappear. Within five or ten years, all those semi-cloud solutions and reasons not to use a public cloud will be gone.

Securing the (public) cloud

So where does that leave my security blog? Well, for the public cloud to be safe and successful, there must be security in the public cloud. The difference is who delivers it. Right now, that task falls on the clients. The public cloud provider only secures the platform and access to the platform and the client is responsible for securing whatever is running on the public cloud. This makes for half-and-half solutions. As a client, you want to use AI and behavior analysis to secure the public cloud but can’t get the entire picture because you have no access to the lower levels of the system. The public cloud provider can not do it either, because they will not and cannot access the higher functions of the public cloud without your explicit consent.

The coming of age of AI

I predict that soon this AI will be available to clients. Access all the way down to the lower levels of the public cloud through an API where you connect the upper level AI you control. Instead of protecting the connections, applications and servers, you will protect the only thing that matters: data access. With that, you can use the public cloud in the way it was meant to. Provide services to your users, clients, customers, even the public. Let them decide themselves how they access and consume the information, through what interface or application, or through their own AI. We already see this shift a little bit in the field. Products that harness AI to notice suspect behavior and generate alerts. Not necessarily because it is disallowed, but because it is strange that this particular user at this particular time from this particular location is doing what he or she is doing. As for the security field I work in myself: Our work isn’t done. There is still programmer error, users with terrible passwords and of course an AI to train and pester with strange requests to illicit a response. Would an AI stop monitoring if I told it to? And what if I told it to explicitly monitor its own log files for changes and mark those in its log files?

Where will it end?

The development of AI will continue up to a point where you as a person have a personal assistant that will fetch the information you need. How will it do that? By asking the AI of the data source if you have access. There is no real interaction between the person and the systems anymore, you are not bound to one organization or one data source, your personal assistant will simply find and serve data you need right now, like this awesome blog in your lunch break for some light reading while you munch down on your sandwich.

Biography: Sebastiaan van der Meer has been heavily involved with Microsoft Azure, virtualization and security through out his professional life. Currently he works for Securesult, a company specialized in helping clients become more aware and secure in an ever changing IT landscape. He has held roles as CISO, business developer and trainer for several organisations and speaker at several events regarding cloud and security. Did you enjoy this story end want to know more from Sebastiaan and get in touch with him? Connect with him on his LinkedIn page. Image credit 1, Image credit 2

PWC: 2018 Artificial Intelligence predictions

Artificial Intelligence, Business Model Innovation, Business models, data, digital transformation, Innovation, Inspiring, technology

2018 Artificial Intelligence predictions

8 insights to shape business strategy

PWC: “Here’s some actionable advice on artificial intelligence (AI), that you can use today: If someone says they know exactly what AI will look like and
do in 10 years, smile politely, then change the subject or walk away.”

 

Final thesis: Internet of Things for business: From sick(care) to health(care)

Artificial Intelligence, Business Model Innovation, Business models, Innovation, Inspiring, Internet of Everything, Internet of things, IoE, IoT, Kevin Ashton, Kevin Kelly, Leaders, Leading Digital, Massachusetts Institute of Technology, MIT, Steve Jobs, technology

A data driven future

Internet of Things for business: From sick(care) to health(care)

Report i wrote for my final thesis at Sogeti, ViNT – Verkenning Instituut New Technology.

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 dit artikel 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.

 

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

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

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