How can Artificial Intelligence and Machine Learning Help with DevOps?

Posted on September 25, 2018January 21, 2021 by Idexcel Technologies

Artificial Intelligence (AI) and Machine Learning (ML) have both become integral parts within the world of DevOps because of their ability to help developers break free from the chains of manual labor. DevOps is all about breaking down siloed developmental walls, and there is no doubt that AI and ML can help teams achieve their goal. With the combination of both these practices, efficiency and productivity can be further enhanced by providing additional performance to businesses.

How will Artificial Intelligence and Machine Learning Drive DevOps in the Future?

AI and ML are undoubtedly the best ways to drive efficiency and growth within processes; however, they do come with their own set of problems. The idea behind the implementation of these practices is to help organizations achieve their targets; however, what’s difficult is the fact that the application of the technologies into a company’s workflow might not be as easy as it seems.

To get AL and ML up and running within your business, you’ll need creative developers, who are well versed with the nuances of the two practices. Given this knowledge, it might be preferred to state upfront that the implementation of AI and ML will initially be quite a tedious task and that the learning curve would be slower than usual.

The above does not negate the fact that DevOps developers can still gain a lot of traction by adopting the essential features of Artificial Intelligence and Machine Learning within their day to day functions.

Through the successful implementation of AI and ML, management can expect to make rapid decisions, which can significantly benefit the business and further lead to improved profitability within the company.

To add a futuristic touch to the world of DevOps, AI and ML can help manage large volumes of data and solve computational problems. AI will eventually become the sole driver to assess, compute, and ease decision making within DevOps environments.

What is Artificial Intelligence’s Influence on DevOps?

Artificial Intelligence is the changing face of DevOps; it can change the way DevOps teams develop their tools, deliver their production goals, and deploy the changes within their functions. AI can mainly help developers improve an application’s efficiency, and enhance business operations.

To understand the influence of both practices, it’s best to summarize:

Improved Data Accessibility
Within the DevOps environment, data access is a big concern. However, this issue is addressed, when AI releases critical data from its formal storage place. Through the use of AI, data can be collected from different sources and made available in a single spot, which can then further be used for different types of analysis and production uses.

Greater Ease of Implementation
AI is all about self-implementing systems; this means, the transition of processes from human run systems to mechanical systems is seamless and smooth. When it comes to assessing human efficacy, one can understand how quickly system complexity is driven out.

Effective Use of Resources
Through the use of Artificial Intelligence, resources can be managed effectively, and judiciously, wherever needed.

How can Artificial Intelligence and Machine Learning be Applied to Optimize DevOps?

Organizations have come a long way, especially when it comes to technical transformations. DevOps and its implementation is no stranger to this concept. Couple the ideas of AI and ML with your organization’s technology hierarchy, and you can rest assured that you have a winning solution on your hands.

AL can also help create complex data pipelines which feed data into app development models. By the dawn of 2020, if predictions are to be believed, AI and ML will take the lead, and digital transformation will see the launch of a new technical era. However, like the two sides of a coin, even AI and ML don’t come without their own set of issues and drawbacks. To derive maximum benefit out of a DevOps structure, a customized DevOps stack is needed.

AI and ML, as futuristic concepts, have taken over the world of technology by storm. The combination of the two languages can go a long way in ensuring a steady ROI for an organization while enhancing the working of IT operations. Efficiency can take an all-new stage, and productivity can reach another level, if DevOps, AI, and ML can be fused together into one dependent model.

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Annual 2018 NMSDC Conference & Business Opportunity Exchange

Posted on September 21, 2018January 21, 2021 by Idexcel Technologies

Event Details: The NMSDC Conference and Business Opportunity Exchange is the nation’s premier forum on minority supplier development. For four days, more than 6,000 corporate CEOs, procurement executives and supplier diversity professionals from the top multinational companies, as well as leading Asian, Black, Hispanic and Native American business owners and international organizations will convene in Austin, Texas to re-energize their collective efforts to Certify > Develop > Connect > and Advocate for solid minority firms in the global corporate supply chain.

A one-day Business Opportunity Exchange highlights the opening day of the conference. More than 700 exhibit booths provide the perfect backdrop for corporations and minority business enterprises to showcase their products, services and solutions. In the days that follow, thought leaders, chief procurement officers and seasoned minority business executives engage in panel discussions, plenary sessions and workshops to share best practices, current trends and issues, and next practices to bolster the value that minority suppliers deliver to its corporate customers.

The event culminates in a black-tie Awards Banquet to recognize outstanding achievements by corporate members, MBEs and affiliate regional councils in the NMSDC network. The event is expected to add approximately $7.5 million to the Austin economy.

This one-of-a-kind event features:

• Thousands of corporate executives, procurement professionals and Asian, Black, Hispanic and Native American business owners
• More than 20 targeted sessions and workshops
• A one-day Business Opportunity Exchange with more than 700 exhibit booths
• Matchmakers (By Appointment Only)
• A black-tie Awards Banquet
• Endless opportunities to network, network, network!

[Know more about the Conference]

About Idexcel: Idexcel is a Professional Services and Technology Solutions provider specializing in Cloud Services, Application Modernization, and Data Analytics. Idexcel is proud that for more than 20 years it has provided services that implement complex technologies that are innovative, agile and successful and have provided our customers with lasting value.

Anand Allolankandy – (Sr. Director Technical Sales & Delivery at Idexcel) will be attending this event. For further queries, please write to anand@idexcel.com

The Effect of Artificial Intelligence on the Evolution of Technology

Posted on September 18, 2018January 21, 2021 by Idexcel Technologies

It has been well established that Artificial Intelligence has contributed to increased productivity, efficiency, and development of society. Artificial Intelligence involves the use of machines; therefore, companies in different sectors are making efforts to produce and develop several mechanisms that can take the place of humans.

The introduction of computers in 1970 was the beginning of Artificial Intelligence, and it has helped in the development of other software companies. Artificial Intelligence is very relevant to different sectors of the economy. Industries ranging from manufacturing, energy, healthcare, industrial services, construction, defense and so on.

The Scope of Artificial Intelligence
The effect of AI (Artificial Intelligence) in the evolution of technology cannot be emphasized enough. Instead of manual reasoning and tasks, the use of machines will provide high-quality performance effortlessly. In the finance and economic sector, the introduction of AI has improved organizational development to a great extent; supporting their implementation, fraudulent activities have been pre-determined and avoided simultaneously. The use of unauthorized debit cards in the wake of fraud prevention is easy to detect with the use of machines powered by AI.

Automobile Industry
Improved production of automobiles in the automotive sector has contributed to the evolution of technology with the creation of self-driving cars, drones, and self-driving trucks that can perform enhanced services – this enhancement has contributed towards the establishment of different automobile companies producing different brands of technology.

Software Giants
Artificial Intelligence has introduced amazing capabilities to the generation of new trends and technology. Companies like Microsoft, Google, and Apple have new improved features and products that positively affect the evolution of technology. Apple introduced Siri and Google’s AI technology can predict medical possibilities. With the introduction of Search Engine Optimization by Google, search engines have also been equipped to help draw traffic to your business website.

Corporate Sector
The evolution of technology does not only involve the creation of new gadgets or technology, but it is also aimed at simplifying different algorithms which turn technology into skills. Different online apps related to advertising, social media, and networking can replace the manual interactions between individuals all over the world. Apps like Instagram, Linkedln, Path, Slack, and Keynote are technological apps that perform both business and corporate actions. Staying connected with others could not have been easier than it is now.

Healthcare
The impact of AI on the healthcare sector will be enormous; AI has been geared to provide X-ray readings and apps that can remind you to take your pills every day. Also, rather than using the human mind to reason and represent, AI has been put in place to do all types of logical reasoning.

Financial Institutions
Technology does not necessarily have to be physical; it can also tend to be abstract. Therefore, this abstraction could play in the financial sector. Artificial Intelligence is employed to detect fraud, improve customer representation, recognition and handle the needs of customers. Book-keeping is not done using human labor anymore; there are machines in place that calculate the daily transactions in every banking or financial system.

Entertainment
The entertainment sector has widely improved due to the availability and evolution of exciting technology. Video game consoles such as the Xbox and PlayStation have replaced old video games and further reduced the physical activity of people. Is this a good thing or a bad thing? It’s best for you to decide. Therefore, people sit in the comfort of their home to play soccer and still manage to get the satisfaction of physical activities. Is this psychological pleasure worth the effort? Well, yet another point to ponder on in the long run.

The Effects of Artificial Intelligence
The effect of AI in the evolution of technology will improve both customer and manufacturers’ experience and analytical marketing. Instead of individuals performing specific dangerous jobs, intelligent machines can be used to replicate manual efforts. With Artificial Intelligence in place, there is near 100% accuracy, efficiency, and error-free performance.

Artificial Intelligence has affected the evolution of technology in different sectors, and the world has experienced its magnanimous reality. It has been statistically proven that in years to come, AI will expand significantly and its impact will dramatically emerge within every norm of our society.

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The 5 Best Practices for DevOps in the Cloud

Posted on August 30, 2018January 20, 2021 by Idexcel Technologies

The Cloud is known for offering scaling and automated provisioning facilities to accommodate potential changes that can affect applications. DevOps is used for streamlining an application’s progress so that user requirements can be mapped according to the appropriate application production queues.

Even though DevOps is considered to be a helpful tool, IT Engineers tend to utilize them in the wrong way; it can be rightly said that this is just due to the lack of study and understanding in the field of DevOps. Individuals who are skilled in the nuances of the IT sector don’t necessarily understand the correct functionality of DevOps and its powers in the world of technology.

Implementation of 5 Common Practices

Rely on Security For Your Cloud
It is common that security standards are permitted to change on a regular basis in the cloud. Usually, one can integrate different types of technologies, such as identity-based security models, to enhance security within the cloud.

However, security also needs to be extended to the organization and the individual DevOps tools, which will lead to the creation of a secured cloud; this can go a long way in keeping organizational processes safe at all times.

It’s important to understand that there is never enough security. In some way, there is always another way to add an extra layer of protection without affecting the existing security structure. It is even helpful to employ a security officer, whose job focus will be on monitoring security within the DevOps process, in conjunction with the cloud.

Choose DevOps Tools That Work with Multiple Cloud Systems
Due to the integration of technology over the past three to four decades, a collection of development has led the computing and technology industry towards more advanced software development.

Today, IT specialists and engineers, along with coders, are in remarkably high demand. In fact, obtaining a qualification in these fields will almost ensure you a high profile career; however, it doesn’t come without its own set of challenges.

DevOps is quite challenging to understand; it forms a part of a much higher public cloud provider, which can be tedious to follow. It’s never a good idea to lock your process knowledge and applications on a single platform within the cloud. In fact, applications should be established on various cloud platforms for safety purposes – this way, one can ensure maximum security within both public and private clouds.

Integrate Automated Performance Testing
On many occasions, performance issues don’t get recognized in time, which causes cloud users to discover and report them after a lag in time. Since the cloud is considered to be such a large storage platform, this isn’t a sound methodology to follow. Regular performance testing is a necessary component of application design, which works towards preventing such issues from occurring.

One can enhance the production of poor-performing apps by automating and testing their performance on a regular basis. During this process, the idea is to ensure that the existing testing procedures for user interfaces and APIs are stable and accurate at all times.

Consider Using Containers
Applications can be enhanced by making use of containers, which are both well-managed and portable for your convenience – you could integrate them into the relevant DevOps or Cloud strategy to bring out the best out of each application. One can also consider making use of cluster management, security, and any orchestration tools that might prove to be advantageous to you in the long run.

Deploying containers for building applications won’t always work; however, it’s important to keep trying to garner any advantages one can gain through the use of technology.

Make Applications Cloud-Native
Use your Cloud platform and the infrastructure wisely and choose to design applications that don’t have to rely on any physical resources. Understand the efficiency involved in the deployment and overall development stages of all apps, as well as their underlying resources in the cloud. Chances are, you can improve your overall performance by 70%; this, in turn, will save your organization money as your resources will be far more efficient, thereby, allowing your organization to garner monetary savings on a monthly basis.

By implementing these five practices for DevOps in the Cloud, you’ll be able to integrate the two more efficiently, allowing for ultimate success.

Also Read

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The Future of Machine Learning

Posted on August 29, 2018January 20, 2021 by Idexcel Technologies

Technology is innovating and revolutionizing the world at a rapid pace with the application of Machine Learning. Machine learning (ML) and Artificial Intelligence (AI) might appear to be the same, but the reality is that ML is an application of AI that enables a system to automatically learn from data input. The functional capabilities of ML drive operational efficiency and capacity automation in various industries.

Technological Innovation for Convenience
Workforce handling is tedious and less productive; this is where Artificial Intelligence has lucratively overcome the age-old system of manual labor. With the world moving at such a fast pace, monitoring has become a constraint for most organizations; for this very reason, Artificial Intelligence and Machine Learning are used more as tools of convenience rather than just pieces of technology.

We have seen how accounting systems have replaced ledger books. At the same time, processes have been set up to align machines with organizational requirements effectively to balance everyone’s demands.

However, with the way Artificial Intelligence is advancing, it seems this technology is quickly going to change the way processes are functioning. Not only trends on social media will be affected, but even marketing will see a complete makeover through the use of Artificial Intelligence.

The Effect on Various Fields
When it comes to Artificial Intelligence, everybody wants a taste of it. From marketing experts and tech innovators to education sector decision-makers, Artificial Intelligence holds the capability to pave the path for a healthy future. Artificial Intelligence has been designed to provide utmost customer satisfaction. To derive maximum results from the nuances of AI customer-centric processes will need to align their business metrics to the logic of this latest technology.

As Big Data evolves, machine learning will continue to grow with it. Digital Marketers are wrapping their heads around Artificial Intelligence to produce the most efficient results by putting in minimal efforts. The entire algorithm and the build of Artificial Intelligence will be used to predict trends and analyze customers. These insights are aimed at helping marketers build patterns to drive organizational results. In the future, it seems like every basic customer need would be taken care of through fancy automation and robotic algorithms.

Healthcare Sector
The healthcare industry is one of the widely reckoned industries in the world today. Simply put, it has the maximum effect on today’s society. Through the use of Artificial Intelligence and Machine Learning, doctors are hoping to be able to prevent the deadliest of diseases, which even includes the likes of cancer and other life-shortening diseases.

Robots Assistants, intelligent prostheses, and other technological advancements are pushing the health care sector into a new frenzy, which will be earmarked towards progressing into a constantly evolving future.

Financial Sector
In the financial sector, it’s vital to ensure that companies can secure their operations by reducing risk and increasing their profits. Through the use of extensive Artificial Intelligence, companies can build elaborate predictive models, which can successfully mitigate the potential of on-boarding risky clients and processes; this can include signing on dangerous clients, taking on risky payments, or even signing up on hazardous loans.

No matter what might be the company’s requirement, Artificial Intelligence is a one-stop shop when it comes to preventing fraudulent activities in day to day operations – this, in turn, will lead to money savings possibilities, profit enhancement and risk reduction within every organizational vertical.

Robotics
We are steadily heading towards a future that will be marked complete with the rise of robotics and automation; this is not going to be restricted to the medical sector only; intelligent drones, manufacturing facilities, and other industries are also going to be benefited by the rise of robotics. Artificial Intelligence methodologies like Siri and Cortana have already seen the light of day – this is just the beginning. More and more companies are going to take these capabilities to a new level.

As more and more military operations begin to seek advantages from the likes of mechanized drones, it won’t be long before e-commerce companies like Amazon start to deliver their products through the use of drones. The potential is endless, and so are the possibilities. In the end, it is all about using technology in the right manner to ensure the appropriate benefits are driven in the right direction.

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Best Practices to Help your Team Migrate to the Cloud

Posted on August 22, 2018October 18, 2019 by Idexcel Technologies

If any IT organization feels that shifting their workloads to the cloud is as simple as a lift and shift operation, then it must be noted that there is way more than what meets the eye. The cloud has become the preferred choice of services; from small businesses to large enterprises, organizations slowly realize the importance of shifting to the cloud. However, moving to the cloud is not as easy as it sounds; getting there needs extensive planning, forecasting, and lots of reconfiguring to ensure a successful transformation.

To get the most out of the cloud organizations need to be on their toes. To fully harness all that the cloud has to offer organizations need to direct their mindset towards resourcing, operational efficiency, and offline storage. Organizations which don’t consider these factors often end up losing heavily on productivity and in turn suffer from increased costs.

Pre-Migration Stage

Have a Vision Ready: Communicating a central vision to the team is of the utmost importance. It is essential to understand how the overall idea will pan out in the long run. Being able to share the vision with the employees can help the team assimilate the concept and work towards the successful migration eventually.

Share a Well-Defined Plan: By having a governance model ready, the migration can become easy. During the drafting of the project, any loopholes can be addressed through brainstorming sessions. All the questions which arise during the brainstorming sessions can then be answered preemptively.

Train Staff to Handle the Migration: Your team members should be well trained with the nuances of the cloud procedure; this way, everything can be handled without incurring any problems. The better-trained people you have on your side, the smoother the migration to the cloud. Well educated people can be an asset in such movements since they are already familiar with the problems that can occur during the migration procedures.

Migration Stage

Start Small: Don’t try to transfer everything in one go. Instead, concentrate on migrating in bits and pieces, so that everything can be moved without too many hiccups. Break more significant fragments into small segments and then try to migrate to the cloud. Rest assured, efficiency will be enhanced, and the team would be well equipped to transfer everything seamlessly.

Automation is the Key: Automation within the cloud is helpful when it comes to driving efficiency. Spend considerable time in automating the processes and functions within the cloud, so that teams can be empowered to perform and adjust to the migration effectively.

Leverage Fully Managed Services: Organizations can use services like Amazon RDS, Amazon DynamoDB, and the AWS Directory Service. Through AWS, day to day maintenance can be handled with ease, allowing the team to be freed up.

Post-Migration Stage

Monitor the Results: Post-migration, it’s important to stay abreast of all the changes that were initiated during the migration. Source the results, and the deviances, post-implementation strategies need to be developed to enhance the results and make them more effective. Any loopholes can be plugged, and the findings can pave the path for future migrations.

Use Cloud-Intensive Monitoring: There are a series of tools, which make the task of monitoring results more accessible and more straightforward. Tools like New Relic, App Dynamics, and AWS CloudWatch Logs are some examples of devices which can be used in this regard. Not only will the ops people benefit immensely in the long run, but stakeholders will also have a more precise base to make future strategies.

Cloud migration does not have to be a daunting job, as it is made out to be. With the right approach and techniques, the tasks can be eased out and can make the migration more natural and more effective. With the right partnership between ops and management, the movement to the cloud will be an asset worth maintaining.

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Top 5 Key Benefits of Digital Transformation

Posted on August 21, 2018October 8, 2019 by Idexcel Technologies

Digital transformation has become a buzzword for organizations these days. The world has gone digital; but does that mean that businesses are ready to revel in the era of digitization? The response is somewhat mixed; however, the benefits of digital transformation are still unknown, which makes the unexplored territory dangerous.

To usher in the true meaning of digital transformation it’s imperative to make companies, organizations and, businesses alike understand the five key benefits so that the adaptation process becomes more accessible and more lucrative.

Improved Efficiency
What does every organization crave? Customer satisfaction might be one of the benefits, but improved efficiency is a significant drive for digital transformation. Organizations are moving away from manual interventions, as effectiveness is beginning to become the critical phrase. When manual processes are replaced with electronic versions, there is a quicker process flow which is put into place, thereby making the organization efficiency model a success story to reckon.

Customer Experience
Customer satisfaction is of utmost importance; for any organization, the customers come first. For this very reason, if an organization needs to measure their success, it’s important to understand the quality of customer satisfaction and the methods which are used to arrive at the final verdict. The better the customer satisfaction levels, the higher the digital transformation success rate for organizations.

Robust Decision Making
What helps businesses achieve the first two points? When the management has sufficient, well-planned data to make sound decisions, it shows in the success rate, brand suitability, and brand name of the business. The sounder the decisions, the better would be the chances of achieving the organizational goals in the long run. Eventually, these methods of driving organizational goals are what leads a business towards success.

Enhanced Profitability
Digital Transformation is best measured with profit margins at the end of the year. The higher the profits, the better would be the motivation of the employees, and more significant would be the trust of the customers in the brand. When profits are enhanced, more decisions can be taken towards improving efficiency in business processes, which can be geared towards improving customer service.

Better Market Penetration
New customers can be added to existing business norms by penetrating unexplored markets. When new products are marketed, it’s essential to perform segmentation, to gauge the quality of the target territory. With improved efficiency and better decision making, the process of market penetration becomes more effective, which helps bring in loyal customers. As the customer base expands, so will the need for profits and improved customer satisfaction.

When all these processes are combined, they form a chain, which leads to the achievement of the pre-defined business goals. Each benefit is interlinked with the other, which is required for reaching the overall organizational goals.

Sound decisions are always a requisite for better profitability and customer satisfaction, to drive the essence of digital transformation and efficiency within each organizational realm.

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How Can The AWS Cloud Enhance IoT Solutions?

Posted on August 13, 2018January 20, 2021 by Idexcel Technologies

The Internet of Things is a technical field that has garnered some of the most significant impacts in recent time. AWS IoT provides global scale and enhances security needed to collect data across millions of devices and sensors; this, in turn, is required to build end-to-end IoT solutions and applications to create, manage, and service smart, connected products without incurring any hassles managing additional infrastructure.

As the market-leading cloud provider, AWS IoT and the AWS cloud provide a global footprint of regions and a broad set of services, which are necessary to compute data, manage databases, storage, and secure device connections; this further helps aid management and helps to procure other IT resources needed for IoT processing.

From futuristic ideas that aim to revolutionize the entire economy to facilities created to improve daily life, we show the best IoT cases through examples taken from some of the best international companies.

Closer to the Needs of Clients
Connected agents bring companies closer to their customers because they offer information that can help them understand how they use their devices, as well as what they like. In a way, it is similar to the agile methodology in software development. Companies make updates, which are further introduced into the production process to obtain feedback from users to decide on the next steps they should undertake. The same agile approach is further refined with the answers provided by the various connected products; all this information can be used in hardware development to help companies provide customers with the best possible outcomes.

Products That Evolve
Thanks to the IoT, one of the Spanish based technology company has redefined the parking experience with the use of its mobility solution. With more than 40 years of experience of parking in the streets, they developed an application to improve parking areas in cities by connecting parking meters, smartphones, parking sensors, controllers, and vehicles used to control and monitor the system. In this way, they helps citizens in their daily challenges of parking and the nuances related to it. Also they established a base for the city of the future; everything contributes towards a smarter future and helps the city remain connected to the needs of its inhabitants.

The Product is The Interface
For years, we have become accustomed to “mid” interfaces, such as a keyboard or mice for a computer, or a remote control full of buttons for a television. A few years ago, “simulated” interfaces were created with the help of touch screens; this allowed new users, especially the elderly and the very young, to interact with products such as tablets and smartphones. Now, with connected devices, the interface is “direct”; the product itself is the interface that you can touch or have in your hands. With more sophisticated interfaces, such as those based on speech recognition, communication occurs naturally.

Reinvent Yourself, Thanks to the IoT
Another sector benefiting the most from the cloud is public services. The best example is one of the largest turbine manufacturers, who is responsible for the generation of 30% of electricity worldwide. The company uses the IoT to reinvent itself and, in this process, also reinvents the economic principles of the sector. The company employs hundreds of sensors and advanced analytics to improve the efficiency of its gas turbine fleet and estimates that, due to the enormous scale of its products, with the improvement of productivity by only 1%, the company can save hundreds of billions of dollars.

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