Digital Ecosystems rapidly became a multi-billion dollar industry. Last year Hyperscalers invested over $120 billion in Digital Ecosystem platforms. Disruptive innovations provide simpler or more elegant solutions to existing problems, enabled by new technology and often at a lower cost. Many businesses recognizes the limitations of their existing platform while exploring opportunities that tap into emerging technologies and new delivery models who will have the best chance of thriving in the fast-approaching disruptive future. Collaborative Ecosystems should exponentially elevate the value it creates and deliver. They will revolutionize business for some time to come.
Hyperscalers such as Apple, Amazon, Google, IBM, Microsoft, Oracle and others are gearing up for battle. Misleading information is convincing businesses to migrate to these platforms without understanding the long-term impact and liabilities. Moreover, entire industries are making decisions based on studies and reports, influenced by the very same Hyperscalers. Many businesses think if they do not keep up they will eventually fail.
Client Operating System
Dominating Digital Ecosystems will require an even more dominating end-user Operating System. The end game is controlling the entire value chain in addition to recurrent subscription lock-in, and preventing you the customer from ever migrating. In other words, easy to get in but difficult to get out.
It should not be a surprise that medium to large size Enterprises are having great difficulties adapting to Digital Ecosystems. Migration could be risky, complicated and expensive or just simply impossible. There are no standards or unification between competitive Digital Ecosystem platforms. Migrating from a Digital Ecosystem might not be possible without starting over again and paying a hefty fine.
I have witnessed the destruction of privacy and the disruptive (dead-end) transition of the hosting industry. Next in line are Channel Partners, ISV’s and OEM’s. Overall, I am unpleasantly surprised businesses and governments ignore the risks by surrendering sensitive data to these Hyperscalers. It is time for new legislation to reveal the true intentions of those trying to dominate our digital world. If you think they are on your side think again!
Too Big to Fail
Eventually Hyperscalers will become too big to fail. If governments fail to regulate them, it will expose us to a global economic and systemic meltdown.
What led to today’s success will ultimately lead to tomorrow’s failure
Microsoft is taking huge leaps towards the contribution in the IoT platform security. This is because the massive growth in building intelligent devices is observed since past few years and with this rate of development a huge adoption of interconnected devices shall be observed 10 years from now.
For IoT security, Microsoft has announced two major advancements:
- Azure Sphere: it is a solution for the security of nextGen IoT devices at an intelligent edge. It includes three major components that work together for security of these devices. These include
a. Azure Sphere-certified MCUs
b. The Azure Sphere OS
c. The Azure Sphere Security Service
- Security Maturity Model: This framework is proposed in order to integrate security into systems for long-term benefits. This gives IoT platform security providers a sustainable approach towards addressing IoT issues. This model is being built in partnership with and is based on Industrial Internet Consortium (IIC) previously Microsoft’s “Seven Properties of Highly Secure Devices”.
Microsoft has been very keen with development platforms and simplifying IT industry with its innovative technologies that shape the market. One such product is Microsoft 365 which keeps on changing based on the IT industry needs. Microsoft philosophy for building tools and various IT services is said to be “Integrated for Simplicity”.
The modern desktop is driven by cloud computing and available on Windows 10 with Office 365 ProPlus. The scalability and intelligence feature makes it unique and an innovative approach that is integrated with Microsoft Office 365. Integrated simplicity is taken to one step further with the Microsoft 365 admin center that also gives the feature of device management.
Hence Microsoft Office 365 gives a modern cloud-connect feel to business and end users. It also provides cloud computing intelligence that is necessary for IT pros for a successful tomorrow.
IoT solutions are gaining popularity as this technology gets more fast, sleek and cost-effective. It has captured almost all aspects of businesses and daily life in general. In such a popular technology, quality control is of utmost importance.
Enterprises have started to deploy Quality control solutions in the cloud by taking a proactive approach towards quality control. For example, algorithms like Quality Early Warning System (QEWS) are developed and incorporated into the IBM Prescriptive Quality on Cloud which helps manufacturers to discover problems earlier in supplier material along with problems arising in production processes.
Considering the huge amount of data being generated by applying IoT solutions to business processes, QC solutions prioritize the problems and generate alerts based on priority and those issues shall be addressed immediately that are critical. Hence 100% Quality control is not possible; however proactive approaches provide detailed perspective regarding product quality during manufacturing and are most beneficial to adopt.
Enterprises need to know how to get info out of big data. A successful business is the one that can manage and analyze big amount of data – we are talking about data that is in petabytes!
More often, companies have got big data, collected and stored in the data center, but have little knowledge of what to do with the data. It is recommended that every company must have a data plan even before the data is consolidated in the storage i.e. the cloud. They must also have a set of tools ready to be used within their systems in order to get business value out of the stored data. Some more steps that can be taken are: understand meta data, know which data to keep and turn it into business value, consider a performance plan. The bottom line is: Only make necessary investments in data.