Artificial intelligence has been spread over a very large area of computing since the beginning of the computer, but we are getting closer than ever with cognitive computing models. What are these models and why are we talking about it today. 

Cognitive computing comes from a mash-up of cognitive science which is the study of the human brain and how it functions and a touch of computer science and the results will have far-reaching impacts on our private lives, healthcare, business, and more.

What is Cognitive Computing?

The aim of cognitive computing is to replicate human thought processes in a programmed model. It describes technology platforms that broadly speaking, and which are involved in self-learning systems that use data mining, natural language processing, and pattern recognition to mimic the way the human brain works. With the goal to automate the IT systems that are capable of solving the problems without requiring human assistance the Cognitive computing is growing very fast.

Cognitive computing systems use machine learning algorithms; which repeatedly acquire knowledge from the data fed into them by mining data for information. These systems treat the way they look for patterns and as well as the way they process data so they have become competent of anticipating new problems and modeling possible solutions.

Cognitive computing is used in numerous artificial intelligence applications (AI), including expert systems, neural networks, natural language programming, robotics and virtual reality.  While computers are proved the faster machines at calculations and meting out the humans for decades; these machines haven’t been able to accomplish some tasks that humans take for granted as simple, like understanding natural language, or recognizing unique objects in an image. The cognitive computing represents the third era of computing: it from computers that could tabulate sums (the 1900s) to programmable systems (1950s), and now to cognitive systems.

The cognitive systems; most remarkably IBM and IBM +0.55%’s Watson, depend on deep learning algorithms and neural networks to process the information by comparing it to an education set of data.  The more data the systems are exposed to, the more it learns, and the more accurate it becomes over time, and this type of neural network is a complex “tree” of decisions the computer can make to arrive at an answer.

What can cognitive computing do?

As per the recent TED Talk from IBM, Watson could ultimately be applied in a healthcare setting also, this helps the administrative department of healthcare to collate the span of knowledge around conditions, which include the patient history, journal articles, best practices, diagnostic tools, and many more. Through this, you can easily analyze that vast quantity of information, and provide your recommendations as needed.

The next stage is to examine, which will be proceeded by the consulting doctor, who will then be able to look at the evidence and based on the recorded evidence the treatment options will be released based on these large number of factors including the individual patient’s presentation and history. Hopefully, this will lead to making better treatment decisions.

While in other scenarios, when the goal is not to clear and you look to replace the doctor, and the doctor’s capabilities by processing the humongous amount of data available will not be retained by any human and thus providing a summary of potential application will be overdue. This type of process could be done for any field such as including finance, law, and education in which large quantities of complex data will be in need to be processed and analyzed to solve problems.

However, you can also apply these systems in other areas of business like consumer behavior analysis, personal shopping bots, travel agents, tutors, customer support bots, security, and diagnostics.  We see that there are personal digital assistants available nowadays in our personal phones and computers like —Siri and Google GOOGL -0.21% among others, which are not true cognitive systems; and have a pre-programmed set of responses and can only respond to a preset number of requests.  But, as tech is on high volume we will be able to address our phones, our computers, our cars, our smart houses and get a real time in the near future when thoughtful response rather than a pre-programmed one.

The coming future will be more delightful for us as computers will become more like humans and they will also expand our capabilities and knowledge. Just be ready to welcome the coming era when computers can enhance human knowledge and ingenuity in entirely new ways.

The Internet of Things (IoT) has quickly turned out to be one of the most adapted and maybe, most advertised jargons across IT & ITES industry. However, it is completely defensible and is backed up by the numbers. Beyond of its extensive range of benefits, the state of the art of this trend being involved in the IT sector is inevitable.

The IoT of things are not all-purpose devices, such as smartphones and computers, but dedicated objects, such as vending machines, jet engines, connected soap dispensers and many other countless examples.

IoT will have a great impact on the economy and many enterprises will look into transforming their businesses into digital and facilitate their business models by improving efficiency to generate good ROI. It’s a tradition that enterprises always look up for successful trends and for sure Industries are looking at IoT, but the implementation is still premature. Even though there is some immaturity, but there is still some evidence of planned uses across a wide range of industries. We may find an answer from these existing evidence to the question of the hour, what needs to be done to build IoT at the enterprise level. 

Sensors

Objects that contain sensors found useful in all studies, for example, you can fix a sensor to the products in a grocery store and if the item is spoiled it will give you a buzz to replace the item, the cost of purchase and installation of a sensor is relatively cheap and it also reduce the stress on the workforce.

Connectivity

You can always stay connected to your IoT device via your smartphone or through a hub or the device itself contains the Internet connectivity.

Processors

Without a processor there is no computing or a smart device. IoT devices will have capabilities of computing and storing relevant data passed on to it. There is a need to equip these devices with some useful features, so there is a need of advanced processors equipped with these devices.

Energy-efficiency

Think about the high-end business models, where there will a lot of flow of customer and immense pressure on your workforce, you need a device which has the conservative amount of energy, which will not ask you for a battery charger or replacement battery during peak hours.

Cost Effectiveness

The Business goal of IT companies is providing the users with the technology and features that they needed the most. However, there will be a significant cost for maintaining and supporting the user’s technology. IoT is the answer to reducing the signification cost and ensure flawless deliverability in the IT process or project.

Quality Standards

You need to operate your devices under harsh outdoor atmospheric conditions for a long time. There should be proper parameters and quality checks on the (IoT) devices produced by the industries.

Security

Securing your device or network is a critical mission, Devices that are associated with a network through IP’s have immense threats of being hacked/spoofed. Managing ID’s and access, saving the databases are critical to the triumph of the IoT. However, traditional approach and old school techniques cannot cope with the complexity that the IoT needs from the enterprise.  It is the time for Business leaders and technology giants to reconsider their approach towards cyber security, and they should raise the curtains for the new set of security rules.

When your customers value your business propositions, what should be the next is the question to be asked to every business entrepreneur today.  As per the recent survey, 80% of you do, but only 8% of your customers actually come back to you and agree that you provide superior value.

Now it’s not going to help you out as it is a sad state of affairs, for you and for your customers too. It’s self-evident that great customer satisfaction drives customers loyalty as well a wish to repeat your business levels to more or to next stage; this will, in turn, help you to grow fast and more generously with expected revenues.  Best example:  When you follow up on your sales leads and identified by your loyalty surveys that your revenue increases of more than you expected.

Since we know that everyone today is more cautious about keeping their date safe, collecting it, or using it to improve and maintain their customer relationship for as long as they can. But, back then there are still constraints on server and storage capacity, which leads to lack of high-scale software tools, limited companies’ ability to understand their customers.

Today, all that has changed, using the resources are available in the cloud, but how far, as you know that virtually unlimited amounts of cheap storage, complicated analytics, and gadget learning, to name a few is possible now to gain of detailed and actionable insights as never before; and you can truly know our customers.

Take an example: A famous sports franchise captures every interaction the championship team has with its fans from the website to online merchandising to mark on social feeds and grabs more attention towards its brands.

If you want to implement such advanced techniques to your business growth then there are tools available in the market such as Dynamics Online, Dynamics Marketing, Microsoft Office 365 and Power BI for Data Visualization.

Many businesses do not use application analytics for improving their customer relationships. According to Forrester, it’s more likely to use analytics first and foremost to monitor and improve the performance of your applications.  That’s a good thing to do- but if performance is all you need to monitor, as you are leaving your money on the table; make sure that your priorities in digital marketing must include by improving your customer engagement, your customers wants, which makes you too easy the work and measure convenience, personalization and trust.  

Successful companies including your competitors are increasingly aware that they are all inevitably becoming software and analytics companies.  All the data is in use or the data they collect from their customers can be analyzed to maximize your relationship and of course your profits. That means that software which is not ready must become a core competency for your company.

MARC ANDREESSEN famously remarked as venture capitalist a few years ago marked — Software, is “eating the world.”

The value proposition of Cloud computing — the delivery model for digitalization and innovation has evolved from cost reduction and scalability to mobility and cognitive computing.  However, the other benefit is a path to improve customer loyalty using cognitive services through a cloud to create personalized promotions and interactive customer support.

This thinking has extended the idea of a cloud assessment beyond traditional and advanced IT analytics that aimed to improve the customer experience and expectations. The purpose of this customer-centric approach is not which cloud is the best fit for any application; instead, it should, which cloud is the most innovative in adding to hosting services.

The cloud suitability assessment in traditional approach is to evaluate the IT systems using prearranged criteria and to identify the best suitable cloud hosting environment. By implementing such environment you can evaluate cost reduction, agility, scalability, and flexibility. However, such assessments often result in creating a hybrid cloud (private and public) for enterprise-level customers.

While based on every organization’s IT need and policies, it is crucial to tailor assessment criteria which are typically included on latency (performance), accessibility, hardware dependency, data security/privacy and demand certainty. Thus, the end result is to migrate your application to the cloud, but that is not enough to be competitive in many markets today.

However, these assessments are like foundations to new analysis which aims to transform traditional IT systems into cloud-based systems to enhance the customer based services. 

This new cloud assessment requires added evaluation criteria’s, such as cross-platform compatibility, integration involvedness, open technologies, and cognitive computing applicabilitys. These criteria’s can overlap with architectural design principles, and enable innovative services through IT systems running in the cloud.

Here are some questions that may help you to make out any gaps and achieve your innovative goals that go beyond legacy cloud migration.

• Is the cloud environment hypervisor sceptic to application portability?
• Is the cloud environment able to exchange in that it uses open technologies as OpenStack, Cloud Foundry or Spark?
• Will cognitive computing help you learn imperceptible patterns and enhance your services?
• Can the application architecture be converted into microservices with REST APIs; so each service can be separately updated as well as scale out on demand?
• Can APIs for multiple applications and services be centrally managed in the cloud?

This comprehensive assessment will make your systems or applications land in a cognitive ready cloud environment so you can speed up the design and implementation phase to innovative services.

The potential for these services is every time unlimited, so you need to consider the new insights made possible by cognitive computing. With the help of cognitive services process, you can see the tremendous amount of structured and unstructured data generated by billions of mobile devices every day.

It’s time to go beyond migrating your applications and systems into the cloud, and also look into its readiness for innovations how cloud and cognitive services could revolutionize your customer experiences.  By doing so you could drive your digital transformation.