Why is Big Data Analytics Technology so Important

Posted on December 4, 2017October 18, 2019 by Idexcel Technologies

Yes! Big Data Analytics, as well as Artificial Intelligence, has truly shown its importance in today’s business activities. Corporations & Business sectors are coming up with their procedures to data analytics as the aggressive landscape modifications. Records analytics is slowly becoming entrenched in the enterprise. Today, it’s a well-known behavior and desired practice for companies to apply analytics to optimize something, whether or not it’s operational performance, false detection or purchaser reaction time.

To this point, usage has been pretty easy. Maximum agencies are still doing descriptive analytics (historic reporting) and their use of analytics is characteristic-unique. But in upcoming years more business areas will follow the leaders and boom their levels of class, the use of predictive and prescriptive analytics to optimize their operations. Moreover, extra groups will begin coupling feature-specific analytics to get new intuition & observation into client journeys, risk profiles, and marketplace opportunities.

The “leading” companies were also much more likely to have some sort of cross-purposeful analytics in vicinity enabled via a common framework that enables collaboration and statistics sharing. These pass-practical views allow agencies to recognize the effect of cross-useful dynamics consisting of supply chain effects.

Predictive and Prescriptive Analytics

Whilst descriptive analytics continues to be the maximum popular shape of analytics today, it is no longer the satisfactory manner to advantage a competitive side. Businesses that want to move beyond “doing business through the rear-view mirror” are the use of predictive and prescriptive analytics to decide what is going to possibly arise. Prescriptive analytics has the delivered advantage of recommending movement, which has been the number one gripe approximately descriptive and predictive analytics. The forward-searching abilities enabled through predictive and prescriptive analytics allow groups to plan for possible outcomes, excellent and bad.

Armed with the in all likelihood styles predictive and prescriptive analytics screen; agencies can identify fraud faster or intrude sooner when it seems that a consumer is set to churn. The mixed foresight and timelier action help corporations force extra sales, reduce risks, and improve consumer delight.

Artificial Intelligence (AI)

Artificial intelligence (AI) and gadget learning culture take analytics to new ranges, figuring out previously undiscovered patterns which can have profound outcomes on a commercial enterprise, consisting of identifying new product opportunities or hidden dangers.

Machine intelligence is already constructed into predictive and prescriptive analytics equipment, dashing insights and enabling the analysis of well-sized probabilities to determine the greatest route of movement or the first-rate set of alternatives. Over the years, extra state-of-the-art forms of AI will find their way into analytics systems, similarly enhancing the rate and accuracy of selection-making.

Governance and Security

Groups are supplementing their information with third-celebration records to optimize their operations, comprehensive of adapting useful resource degrees primarily based at the expected level of consumption. They are also sharing statistics with users and companions who necessitate robust governance and a focal point of safety to reduce information misuse and abuse. However, protection is turning into an increasing number of the complex as more ecosystems of records, analytics, and algorithms interact with every other.

Given latest excessive-profile breach instances, it has emerged as clean that governance and safety have to be applied to information at some point in its lifecycle to reduce facts-associated risks.

Developing Statistics

Facts volumes are developing exponentially as agencies connect to statistics outside their internal structures and weave IoT devices into their product lines and operations. Because the records volumes continue to grow, many groups are adopting a hybrid records warehouse/cloud strategy out of necessity. The businesses maximum in all likelihood to have all their records on-premises keep it there due to the fact they’re involved in security.

Groups incorporating not gadgets into their enterprise strategies are both adding an informational element to the bodily products they produce or including sensor-based total information to their existing corpus of statistics. Depending on what is being monitored and the use case, it could be that every piece of information does no longer have value and no longer each issue calls for human intervention. While one or each of those things are authentic, aspect analytics can help identify and remedy as a minimum some common issues routinely, routing the exceptions to human decision-makers.

How Artificial Intelligence is Transforming Cloud Computing

Posted on November 30, 2017October 18, 2019 by Idexcel Technologies

Everyone in touch with technology is aware of cloud computing. It has already turned out to be an important part of the current digital era. It has transformed the manner in which individuals, professionals and even companies store their essential information and data.

The market for cloud computing has tremendously made progress over the past few years which in turn has strongly affected the lifestyle and work culture in various ways. But the cloud is a new technology, due to which companies are worried about whether it will evolve over time or not. Recent trends such as the use of mobile phones instead of computers have even made petty changes in the cloud technology. Therefore, AI has come up to enhance the cloud technology (AI is the capability of a robot controlled by a computer or a digital computer that carry out tasks that are usually linked with the intelligent beings). Cloud computing and AI are bringing major changes in the corporate world and their fusion is believed and known to be the coming future of technology.

The cloud technology can help AI’s by providing the required information for the learning processes while the AI can help cloud by providing information that can offer more data. AI is capable of streamlining the immense capacities of the cloud. It equips cloud technology with enormous powers. It enables the machines to act, react, think and learn in the manner human beings do. AI assists different machines in learning and analyzing the historical data, making decisions and identifying the patterns. Such a process helps in eradicating the chances of human errors. Therefore, AI enhances the process of decision making of various organizations.

Cloud technology is spread among a number of servers in various languages with huge data storage and across various geographies. Organizations can make use of this data to make up intelligent and automated solutions for customers and clients. Cloud computing is getting more powerful with AI as its applications are extended across multiple diversified sectors in the economy. Thus, even organizations can make use of AI cloud computing to attain long-term goals for their businesses.

Another crucial aspect of the fusion of AI cloud computing is the process of machine learning. Such a process helps in making reliable and quick decisions, reducing the chances of cyber crimes and improving the experiences of the customers. In the recent years, machine learning has been able to quickly employ complicated mathematical calculations to large amounts of data. It is even capable of delivering more accurate and quick results on a huge scale which drives new business opportunities and growth strategies for organizations around the world.

The fusion of AI cloud computing has brought about a huge change in information technology and several other industries. It can potentially change the manner in which the data was stored earlier and processed among several geographies. Such an amalgamation also offers unique opportunities for the professionals of AI and cloud to look over the boundless possibilities for future.

Cloud, when stood alone, has the capability of becoming a significant computing commodity in several fields. But the AI cloud computing integration will enhance its requirement in the market. With huge strides existing in the growth of both cloud and artificial intelligence, their future seems to be highly tied together. Cloud computing gets much easy to protect, scale and handle with artificial intelligence. Above that, the more the businesses are getting on the cloud, more it needs to be integrated with AI to attain efficiency. A point will come when no cloud technology would be existing without artificial intelligence.

Why Choose AWS as Your Cloud Platform in 2018

Posted on November 24, 2017January 13, 2021 by Idexcel Technologies

The world today is envisaging the inception of an era which is going to define the upcoming future, for we are constantly engaged in technology and newer inventions to make a better tomorrow. It will be no surprise if we see cars floating in the sky by 2050. But, will we reach there if we don’t embrace the optimal services to make things happen? No. The height of success will be determined by the kind of ladder we choose to climb.

AWS Foreground

AWS cloud service provider has been the world’s most comprehensive and broadly adopted cloud platform right from its inception in 2006. to match brains with our catalogue, AWS offers over 90 fully featured services for computing, storage, networking, database, analytics, application services, deployment, management, developer, mobile, Internet of Things (IoT), Artificial Intelligence (AI), security, hybrid and enterprise applications, from 42 Availability Zones across 16 geographic regions in the U.S., Australia, Brazil, Canada, China, Germany, India, Ireland, Japan, Korea, Singapore, and the UK. AWS services are trusted by millions of active customers around the world monthly, including the fastest growing startups, largest enterprises, and leading government agencies—to power their infrastructure, make them more agile, and lower the costs.

Amazon’s AWS is best suited for companies that require cloud infrastructure as a service for their businesses. Purchasing physical servers and maintaining them to run your business can be very costly and this is where AWS comes in. the customer satisfaction is of utmost priority for Amazon. The price model of AWS is very affordable. AWS takes privilege in showcasing its many years of experience as they have been in the cloud industry since 11 years. Not just the hypothetical display of assertions, AWS has also stood upon the principles set by Amazon. They have been able To deliver a cutting edge service and support service While keeping their level of security tighter which has allowed them to have a great score in unmatched cloud products.

Services for Every Need

Covering all the aspects of cloud service, AWS cloud services provides its service seekers an opportunity to build the infrastructure that is right for them. For instance, one can run a web application, storefront, website, database and so on. AWS’s cloud services also render to its customers a complete management tools to make it easy for first-time users to try and use their services without any hitches.

With wide ranging possibilities, Is is not justifiable that cloud infrastructure is meant Only for big organisation. Most website owners and small business enterprises also depend on them, the area where AWS is utmost preferred. The reliability, ability to run updates a Service level support, are the specialities that people nowadays find more alluring due to its practicality. With due estimates of the vendor the Elastic Cloud Compute(EC2) And database usage help the client and AWS keep record, so that a smooth transaction of data exchange can be carried out.

In its multi dimensional domain, AWS Focuses more on the core features of the corporate world, namely compute, storage, database, networking and Content delivery. AWS controls These domains via a secure web portal right From the comfort of the office/house. It also deploys management tools such as auditing, monitoring/logging, storage creating and much more.

Even the diversified platform distribution in the tech fields does not hinder the AWS support, as it operates on both Linux and Windows Servers distributions with their data centres spreading all over the world and making it the best solution for multinational companies. Setting an Amazon AWS cloud is very easy especially if one is familiar with deploying operating systems instances and images such as Ubuntu. Also, one can perform SSH connection from a secure terminal such as Putty. From there, one can start running commands and everything will flow as expected.

Emerging Newer, Better Realities

In fact, it has never been about the industry for Amazon. The customer is of utmost priority it instead of the focus on competitors. It is guided by principles such as passion for invention, commitment to operational excellence and long term thinking. AWS, Kindle Direct Publishing, Kindle, Fire tablets, Fire TV, Amazon Echo, and Alexa are some of the products and services pioneered by Amazon that render us a different way of perceiving and interacting with the world.

As long as IoT keeps depending on cloud services, the load of the storage will keep advancing for the concerned firms. With optimal expertise over AWS’s ability to handle large database data, it will be a wise move to shake hands with AWS than with other cloud service providers. For instance, if you require a database management solution that can handle terabytes or petabytes of data, Amazon cloud service provider is the way to go. AWS is relatively more preferred by both in-house and third party applications that need secure cloud architecture with great computing powers and complicated storage needs. Going with the majority, AWS is likely to have even a greater impact on cloud infrastructure in 2018. And, it is no surprise nor discomforting that people will choose the omnipotent AWS cloud services. as a bridge towards their success.

Microservices: Building an Effective Business Model with AWS Architecture

Posted on November 16, 2017October 18, 2019 by Idexcel Technologies

One buzz-word that has been spreading across the IT industry for the last few years is ‘Microservices’. However, these are not completely new approach to the IT infrastructure, but a combination of best proven methods of concepts such as nimble software development, service related architecture and API-first design (building the API first and developing the web application on top of that).

Microservices can be simply defined as ‘a self-contained process fulfilling a unique business capability’.

Following are some characteristics of a microservice architecture:

– Redistributed data management: Microservices don’t rely on a single schema in their central database. They have different views for various data models and are unique in the ways they are developed, deployed and managed.

– Functional independence: Modules in the microservice architecture can act independently without affecting the functionality of other components. They can be changed or upgraded without affecting other microservice modules.

– Simplicity: Each component is built on a set of capabilities fulfilling a specific function. Depending on the level of complexity, it can be split up into two or more independent components.

– Flexible and heterogeneous approach: Microservice gives the teams a freedom to choose the best tools and methods for their specific problems, be it programming languages, operating systems or data stores.

– Black box design: Microservice components potentially hide the details of their complexity from other components. The internal communication between the components happen with very well defined APIs to prevent implicit data dependencies.

– DevOps: This means, when you build it, you operate it. This helps the developers to be in close contact with their consumers, precisely understanding their needs and expectations.

Benefits and challenges of Microservices:

When addressing the agility and scalability issues of traditional monolithic architecture deployments, microservices benefit consumers in various ways such as:

– Microservices create a sophisticated working environment where small and independent teams take the ownership of a particular service. Hence, empowering them to work quickly and independently shortening the cycle times.

– Having a Devops culture by merging the development and operational skills removes the hassles and contradictions, providing an agile deploying environment. Making it easy to test and implement new ideas faster, henceforth creating a low cost of failure.

– Dividing a software into small and well defined modules can be maintained, reused and composed easily, giving out a great output in-terms of quality and reliability.

– Each service can be developed and implemented with their best-suitable programming languages and frameworks, and can be finely tuned in-line with aptly performing service configurations.

– Failure isolation is made easier with microservices as techniques such as health-checking, caching or circuit breakers allow you to reduce the blast radius of a failing component.

Despite all these advantages we have discussed above, there are some disadvantages of these microservice approaches as diverse systems invite more complexity.

– Determining the right boundaries for a microservice architecture is crucial when you migrate from a traditional monolithic architecture.

– Versioning for a microservice architecture can be challenging.

– Developing an effective team structure, transforming the organization to follow a devops approach and streamlining an effective communication between them can be challenging.

– The more the number of microservice modules, the more is its complexity in interactions.

– In a microservice approach, we no longer run a single service, but a combination from dozens to even hundreds of services. This increases operational complexity to a greater level.

AWS, one of the most-preferred cloud service platforms has number of offerings those address the challenges of a microservice architecture.

Effective Scaling and Provisioning of resources:

AWS microservice architecture employ on-demand resources that are readily available and provisioned when needed. Multiple environments can co-exist correspondingly, so that you need not employ difficult forecasting methods to guess the storage capacity of the microservices.

You only pay for what you use:

You can potentially experiment the new features or services, and roll them out if they aren’t successful for your business goals in AWS microservice architecture. This helps you find the innovation best suiting your business goals and also fulfills a microservice’s goal of achieving high agility.

Versatile programmability:

AWS microservices come with a specific API, Command Line Interface (CLI) and SDKs for different programming languages. Even complete architectures can be cloned, scaled and monitored through custom codes and programming languages. And, in-case of any failure, they are capable in healing themselves automatically.

AWS microservices provide you with a flexible environment to programmatically build custom tools and deploy the suitable resources, thereby reducing the operational costs and efforts.

Infrastructure as a Code:

AWS microservice architecture lets you to describe the whole infrastructure as a code and allows you to manage it in a version-control environment. You can redeploy any specific version of an infrastructure at any time, and compare the quality and performance to any application version to ensure they are in sync.

Reduce operational complexity with Continuous deployment and delivery:

Managing multiple application cycles in parallel can lead to operational complexity. AWS microservices offer automation of the provisioning and deployment process, enabling the adoption of continuous integration. This ‘continuous integration’ of the development part of the life-cycle can be further extended to the operations part of the life-cycle.

Managed services with AWS microservice architecture:

One of the key benefits of cloud infrastructures is it relieves you of the hassles of provisioning virtual servers, installing and configuring the softwares, and dealing with scaling and reliable backups. Monitoring, scaling and security are already built into the AWS microservices, helping you to further reduce the operational complexity of running microservice based architectures.

Service-oriented and Polyglot approach:

Each AWS microservice focuses on solving a specific and well-defined problem by communicating with other services using clearly defined APIs. This approach breaks down the complex infrastructure into simpler bricks or modules, preventing the need of duplication of the processes.

With microservices definitely helping to break down the complex business process into simpler modules, AWS cloud microservices further reduces the operational and interactional complexity of the microservices, helping you to define and use the most ‘appropriate’ solution for your specific business problem.

Top Roles of Cloud Computing in IoT

Posted on November 13, 2017October 18, 2019 by Idexcel Technologies

Transformation is an ever going trend, which is becoming an absolute need of the hour in today’s fast paced world. With technology churning every bit of information in a refined new format, there is a lot of scope when it comes to data storage and manipulation.

As smart phones and social media begin to rule the roost, there is a lot of conversation happening around what’s coming next. The evident answer of the hour is, the Internet of Things or IoT. With the Internet churning out huge chunks of data every second, there is a pending strain on the data infrastructure, making it necessary to look for solutions to ease the use of data storage.

Since the rise of the Cloud, there is a massive shift towards using it as a means of storage for people and businesses alike. Given the scalability and the data dynamics, there is a lot of stress being given on the use of Cloud computing to make data available remotely.

Putting this scalability to use, the Cloud has proved to be an efficient tool for transferring data through the traditional Internet channels as well as through a dedicated direct link. The traditional method is not preferred extensively; however, at the same time, many businesses prefer to the use the direct link to transfer data to the Cloud, given the quality of the data and the security it ensures during the transfer phase.

This is not all; the Cloud has become an integral part of the Internet world. Simply put, the cloud can be termed as an enabler when it comes to IoT. The Cloud is undoubtedly an ideal solution to meet all data driven needs of businesses. As this technology is developing, it is providing an agile platform for developers to create meaningful apps to establish better data devices over the Internet.

How Cloud Computing Aids IoT?

The underlying idea behind IoT and the Cloud computing is increase efficiency in the day to day tasks, without disturbing the quality of the data being stored or transferred. Since the relationship is mutual, both the services complement each other effectively. The IoT becomes the source of the data, while the Cloud becomes the ultimate destination for it to be stored.

As we progress through the years, we will see a lot of changes happening; some of these changes will be gradual while others will be more rapid. Companies likes Amazon AWS, Google and Microsoft will become the undisputed leaders of Cloud IoT Services, making the challenge even more worthwhile.

As the Cloud gathers more attention and speed slowly, there are a multitude of Cloud service providers which are beginning to offer pay per use models to businesses. This way, businesses only need to pay for what the computer resources they use.

Some more Reasons which Highlight the Importance of the Cloud in the World of IoT are:

Reduced cost of ownership: Inflation is a never ending menace which every business has to face sooner or later. The Cloud technology provides ample resources to businesses so that they do not have to spend through the nose on setting up their infrastructure. In the absence of on-site systems, hardware and software, the IT department is more focused on their day to day up keeping activities, which are often an evident benefit with the Cloud.

Business continuity programs: The Cloud computing is capable of running businesses even in the midst of sudden disasters. Since the data is maintained on additional separate servers, there is no imminent danger to the private data, making the Cloud an indispensable part of Internet based firms.

How will the IoT and the Cloud Expand?

Startups: As more and more Cloud vendors pop up, startups will continue to evolve and become more efficient, making the technology flow stronger yet smoother. The transition from one source to another will become a cinch, making the Cloud a strong place to function.

Developing countries: The strongest and biggest source of revenue for the Cloud comes from the developing countries, as they are trying to play catch up with the times. However, this revenue will drastically dip, once these countries are able to adopt their technology to the Cloud, marking the adaptation as complete.

Infographics: Cloud Computing Market Overview – 2017

Posted on November 3, 2017October 18, 2019 by Idexcel Technologies

Amazon Web Services Continues to Dominate the Cloud Infrastructure: According to Synergy Research Group’s report, not much has changed in 2017’s cloud infrastructure leaderboard. The paramount benchmark of 34% cloud share for AWS left behind the richest IT Company Microsoft at 11%, while IBM and Google at 8% and 5% respectively. In the wake of tremendous technological development, where Technology has spread its unforeseen wings, manufacturers continue to feed on the long term consumption plan development by engulfing consumers into IoT and cloud services. With Technology field showing the highest consumption of over 78.20%, other cloud consuming industries have surfaced with almost negligible indexes, namely Consumer Services 10.49%, Consumer Goods 6.21% and Finance 5.1%.

Tech Experts Forecast an Unprecedented Upsurge in Global Public Cloud Services: The world, where virtual realities have started to take precedence over the concrete ones, predicts a blasting expansion of cloud services in the upcoming years. Rapid expansion of cloud infrastructure due to the era defining fields of Web services, IoT and Artificial Intelligence is likely to surface soon. With the current capital of over $260 Billion, it aims to expand at least with a massive $50 Billion capital inclusion per year in the coming years. See below infographic for more details.

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Overcoming Cloud Security Threats with AI and Machine Learning

Posted on November 2, 2017January 13, 2021 by Idexcel Technologies

The increasing flexibility of Cloud services has made the enterprises to embrace them in storing, sharing and managing their data efficiently. Cloud computing has not only increased their operational efficiency, but also have helped them save thousands of dollars in IT investments.

From helping the organizations deliver faster, cost-efficient and quality results to effectively managing their resources, Cloud services has definitely been a boon for enterprises. It helps them focus on their businesses rather than spending their precious time in building and managing their IT infrastructure.

But, with any kind of new technology comes greater and complex security needs associated, making the universal adoption of Cloud services questionable. Some threats associated with Cloud services are:

-Having large amounts of sensitive data in the Cloud (especially for industries like Finance and Healthcare) can be a promising target for the hackers.

-The enterprises are liable to face heavy dues and even criminal charges in-case of consumer data leakage, under compliance regulations like HIPAA.

-BYOD (Bring Your Own Device) systems have been a great advantage for both employers as well as employees in terms of data mobility and accessibility. But, stolen or misplaced devices, if goes in the wrong hands can be a huge expense for an Organization as they are almost impossible to track without proper tools in hand.

-Weak authentications and leaving the credentials in one’s device can also lead to loss in enterprise data in case of any phishing, ransomware and brute-force attacks.

Offering great value for enterprises in terms of scalability, feasibility and cost savings, it is important that they untangle these security concerns before adopting comprehensive Cloud strategies.

AI and Machine Learning for Advanced Cloud Security Solutions:

AI is a system that has the capability to learn and adapt to the change in its environment. Often used with Machine Learning, AI uses predictive analysis which can pre-model the results by analyzing the past events. With the cyber threats advancing at an alarming rate, there is a real need for us to employ the tools that forges ahead of them.

Crucial Role of AI in Detecting Cyber Security Threats

-A recent study on global security conducted by Nemertes research says: the average time taken for an enterprise to spot the threat and respond with a cloud security solution was 39 days. Some companies were able to detect and respond within hours.

-Faster response time means the threats are detected and blocked immediately from the user’s side, preventing further data leakage.

-The organizations those were able to detect the threats faster employed automation which can only achieved by employing AI and Machine learning based cloud security solutions.

-Fully automated AI cloud security solutions use behavioral analytics to determine a path on which the systems operate. Any deviation from the flow, it takes the system off the network bringing this ‘response time’ to effectively zero. Notably, 28.6% of all companies have already employed full automation to their key business processes, as per Nemertes’ reports.

Moving at a Faster Pace than Cyber-Criminals with AI

Cybercriminals were always ahead of the traditional security standards deployed by the enterprises, posing continuous nightmares to the IT teams. They had to spend most of their time and capital investments in optimizing their security standards, each and every time they experience a data breach.

Now, with the AI and Machine learning technology in hand, their adaptive learning capabilities prove as an efficient cloud security solution for enterprises in thinking and acting ahead of cybercriminals:

-The number of patterns processed by the Machine learning programs increases with the increase in data injected. As the patterns increase, it makes AI easier to give early indications of cyber threats whenever it senses a slight change in this pattern flow.

-Machine learning not only processes the real time data quickly, but can also co-relate them across time and geographical locations. This helps the organizations to be aware of the security breaches and prevent them, days before the event.

-Email has always been an easier platform for cybercriminals. AI and machine learning based cloud security solutions can help to plot relationships between different kinds of content sentiments, mail services and communications. In case of any suspicious patterns, the organizations can alert their employees, days before a threat is potentially identified.

The current machine learning technologies have begun to detect even unusual threat events with high volumes of data. The organizations can now leverage their business process more efficiently through Cloud services with AI in hand as their most powerful tool against security threats.