How can Artificial Intelligence and Machine Learning Help with DevOps?

How can Artificial Intelligence and Machine Learning Help with DevOps?

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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The Effect of Artificial Intelligence on the Evolution of Technology

The Effect of Artificial Intelligence on the Evolution of Technology

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 Future of Machine Learning

Future of Machine Leaning

Technology is innovating and revolutionizing the world at a rapid pace. Machines are taking over the world; believe it or not – this is not a celluloid fantasy anymore. Both Machine learning and Artificial Intelligence might appear to be the same, but the reality is that they are different than each other. Yet, they are both used in conjunction with each other to drive efficiency and capacity automation in the various fields of society.

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. Right from marketing experts to 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 saving possibilities, profit enhancement and risk reduction within every organizational vertical.

Robotics
We are steadily heading towards a future which 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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How will Artificial Intelligence Change the Evolution of Technology?

How will Artificial Intelligence Change the Evolution of Technology?

Artificial Intelligence and robotics have become the overnight sensations every company wants to lay their hands. With decades of building and scores of changes within their implementation, the two have almost come to be used interchangeably. As the application of Artificial Intelligence takes precedence over manual intervention, technology has become the thing of the future.

With repetitive tasks no longer seeing the light of day, Artificial Intelligence and Robotics are giving way to adaptive technology and intelligent applications. As Artificial Intelligence takes over the usual mundane chores, it will soon surpass human knowledge and make decisions we were never capable. In the coming years, this will result in paradigm shifts, which will only translate into better success rates for companies making use of these smart, evolving technologies.

With this said and done, it is difficult to overlook the fact that Microsoft and Oracle have already progressed on the path of smarter robotics, which has led to the development of cognitive, connected factories. At the same time, Artificial Intelligence-infused robots will aim at transforming industries with their innovative level of intelligence; this will further lead to enhanced areas of production in the fields of safety, service, transportation, and even habitation.

Artificial Intelligence and robotics have come a long way, and they are the promise towards ushering in a better tomorrow. Broadly speaking, these are technologies which work well within the domains of law enforcement, rescue operations, and many other fields. Slowly and steadily, these technologies will become an integral part of our lives, and become inseparable from our day to day jobs. What is yet to be seen is how these technologies can reduce the interdependency between humans and machines, and recreate the evolution for a better tomorrow.

The Growth Spurts Within the Artificial Intelligence Industry

The next four years will see a massive shift in the growth of Artificial Intelligence and robotics. Artificial Intelligence revenues are expected to grow by 20%, in 5 years (2015-2020). In the year 2015, the Artificial Intelligence industry was staggering at a revenue model of $5 billion. However, by 2020, this industry is likely to operate at a revenue model of $12.5 billion.

With the evolution of the Artificial Intelligence industry, software companies are rapidly taking up the evolution mantle and charging ahead at full throttle. This way, they can push the boundaries of automation and enhance the realms of social media. As the Artificial Intelligence industry continues to push forward, very soon Artificial Intelligence will begin powering automation in the automotive sector, thereby creating scores of jobs in business operations.

As an example, virtual assistants and chat-bots have already become widespread. Smart robots are slowly and steadily taking over the advice columns in the fields of finance, insurance, media, legal, and journalism; this has lead to a revolutionary change in the way information is processed and passed on, thereby plugging multiple gaps within the information processing cycles. Some other benefits within the Artificial Intelligence industry include, but are not limited to, progressing standalone R&D projects, reducing time to market products and services, optimizing supply chain networks, etc. While these are an ongoing series of services, they are going to be enhanced manifold in the many years to come.

Are We Going to be Replaced by Machines?

Hollywood movies have already projected the future of the human race in many films. With the launch of Artificial Intelligence and robotics, there is an excellent chance that all manual jobs will eventually be handled by robots and automation, which will lead to a massive shift in the unemployment cycle. Despite the fear of losing jobs, it is necessary to note that Artificial Intelligence will be aimed at reducing tasks, and not jobs.

At the same time, the fear of replacement is justified. Simply stated, technological unemployment and displacement is a result of technological progress. As companies begin to see the benefits of Artificial Intelligence and robotics within their growing operations, these technologies are rapidly becoming popular in the market. All unrest is put to ease when one concentrates on the fact that Artificial Intelligence as a technology is being used in niche industries, as development within this domain is yet to be funded and finalized. Despite the ongoing concerns, it’s important to note that everything is not black and white, and the grey areas are what needs to be seen as time progresses.

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How Artificial Intelligence Transforming Finance Industry

How Artificial  Intelligence Transforming Finance Industry
Artificial Intelligence (AI) has emerged as one of the most powerful integrated infrastructures, proving its application in every branch of human need—be it gadgets, education, healthcare, or even finance. After the Great Depression, state governments interfered in the financial industry with both public and private sectors working together. Jointly experts have kept their focus on maintaining and propagating economic wellbeing of the nation. The same trends continue today with the aid of Artificial Intelligence (AI). AI and machine learning have unfolded potential in the finance sector in various areas such as customer engagement, cybersecurity, and business operations.

Integrating AI into the financial sector enables firms to make better decisions vis-à-vis dynamic market conditions. Numerous banking procedures have been minimized, which has rendered the banks and its customers’ ease of use. These are the further ways in which AI is revolutionizing the financial sector:

Big Data Management
The likes of Big data Analytics and other such AI based strategies have helped the finance sector in numerous ways. Most important of those is the workload reduced through automated data analysis, along with keeping the systems secure. Assisted with machine learning the systems perform with even better accuracy and efficiency.

Promoting Customer Engagement
Through AI it has become possible to analyze and predict customer behaviors. With the use of this information, banks work towards bettering their relationship with customers. Automated and reprogrammed messaging services greet customers on special occasions like birthdays or holidays. These gestures boost familial engagement in the customers, and they engage their banking more frequently.

Decision Making
Financial ups and downs are beyond recognition of human minds; however, AI with the use of algorithms can automatically prompt better decisions. These decisions although at times may not solve the problem altogether can provide essential ideas to banking experts for fighting a crisis. Unlike humans, AI doesn’t base its decision-making process on assumptions. Through machine learning, AI renders more independent decisions which often results in raised financial growth and preparation for the future.

Detecting and Minimizing Frauds
The finance sector is one of the most targeted areas for hackers due to its liquidity. In other industries, hackers breach information for money; in the finance sector, the information itself is money. Therefore, safeguarding the banking systems against possible threats has become one of the main concerns of the finance sector. AI employs smart sensing that filters normal behaviors from anomalies; it can detect suspicious activity and raise alarms to prevent any mishap.

Extending Digital Support
The finance sector involves billions of transactions per day across the globe. If transaction processes are not simplified, the industry will lag far behind the pace of what’s needed. Through AI, the finance sector can prompt automated messaging, emailing, etc. It reduces human intervention, renders greater transparency, and increases the efficiency of task time. Some banks have opted for only digital banking and have succeeded at large scale.

Advanced Identification Systems
Another extraordinary feat achieved by AI is in the area of customer and employee identification. From chip cards to biometric systems, AI has progressed immensely. Employees can log in with their fingerprints or even facial recognition systems. These facilities eliminate fraudulent logins and also keep meticulous records of their ins and outs, thereby enhancing security measures.

Artificial Intelligence (AI) is revolutionizing the banking industry by transforming the very face of routine operations. From security to efficiency, AI is assisting the financial sector in understanding challenges and prompting profound insights towards effective decision making. It further supports expanded and consistent growth that works in favor of both the service provider and the customer. Additionally, it improves performance by introducing automated processes and renders an overall improvement in transactions.

As we all know, finance forms the backbone of any civilization, which means securing and guarding it becomes essential. With the help of AI, the finance industry is moving towards a better future—a future where human intervention is minimal and computer processes are efficient.

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Big Data Empowers AI & Machine Learning

Big Data Empowers AI & Machine Learning
Recent decades have witnessed a rapid growth in technological advancement. From raising budget-tight efficiency to rendering the smart sensing technology, IT industries not only contest for the top spot but also play a vital role in transforming the world as we perceive it. Artificial Intelligence (AI) is not an unusual term nowadays, but the importance bestowed upon it is somewhat undernourished. Coupling the technology with other recent technological advancements, AI can be optimized at even higher levels. Big data is another growing area whose full potential is still unknown. So far, IT has de-duced numerous benefits of big data interplay, but, those seem to be just a fraction of the lucrative repertoire big data has in its lap.

A new strategy, where Big Data is employed in AI, turns out to be a total game changer. Best in its class, Big Data, which uses customer and organization generated information to help firms make better decisions concerning efficiency and cost-effectiveness, meets one of the best technological feats that humankind has achieved—AI, and we can all guess the possible results.

AI can perform such complex tasks which involve sensory recognition and decision-making that ordi-narily require human intelligence. The advent of robotics has further introduced an autonomy that re-quires no human intervention in the implementation of those decisions. Such a technology when paired with Big Data, can rise to unforeseen immensities that we cannot presently articulate. Howev-er, some of the primary outcomes of this merging are as follows:

Soaring Computational power
With continually emerging modern processors, millions of bits of information can be processed in a second or less. Additionally, graphics processors also contribute exponentially to the rising CPS (calcu-lations per second) rate of processors. With the help of Big Data analytics, the processing of big vol-umes of data, and the rendering of rules for machine learning, on which AI will operate, is possible in real time.

Cost Effective and Highly Reliable Memory Devices
Memory and storage are the essential components of any computing machine, and their health de-termines the overall strength of the computer. Efficient storage and quick retrieval of data are critical for a device to work smartly, even more so for AI.

Memory devices such as Dynamic RAMs and flash memories are increasingly in demand for they make use of information merely for processing and not for storage. Data, thus, doesn’t become centralized in one computer but is instead accessed from the cloud itself. With the aid of Big Data, memories of more precise knowledge could be built, which will inevitably result in better surface realities. Addition-ally, the ready cloud which indulges into this large-scale computation is used to produce the AI knowledge space. With the better memory of information, indeed, higher AI learning will be imparted along with reduced costs.

Machine Learning From Non-Artificial Data
Big Data is proven to be a source of genuine business interaction. Big data accumulated for analytics provide a better grounding for prospects of actions and planning of the organizations. Earlier, AI was used to deduce learning from the samples fed in the storage of the machine, but with Big Data analyt-ics it is now possible to provide machine learning with “real” data which helps AI perform better and more accurately.

Improved Recognition Algorithms
With technological advancements, it has become possible to program AI machines in such a way that they can make sense of what we say to them almost as if they were humans. However, humans can produce an infinite set of sentences through combinations based upon underlying linguistic and per-ceptive analysis. Big Data is also capable of empowering AI in the same way as it can form algorithms that the human brain possesses. The voluminous data renders a broad base for building algorithmic analysis, which in turn enhances the quality of AI perception. Alexa, HomePod, Google Home, and other virtual assistants are good (if not the best) examples of improved recognition in AI.

Promoting Open-Source Programming Languages
In the past, due to cloud unavailability (thereby unavailable Big Data), AI data models could use only simple programming languages. These scripting languages such as Python or Ruby where excellent for statistical data analysis, but with the help of Big Data, additional programming tools for data can be uti-lized.

With the introduction of new developments in technology such as Big Data, the scope, and future of AI has been soaring in new dimensions. With the merging of Big Data analytics and AI, we can create a highly efficient, reliable, and dependable in its nature AI defined infrastructure.

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Artificial Intelligence to Make DevOps More Effective

Artificial Intelligence to Make DevOps More Effective
Artificial Intelligence (AI) has found its way into numerous industrial processes. Companies implement AI not just to accelerate production, but also to increase precision and efficiency. Nevertheless, AI used to be a buzzword only a few decades ago, when the developments were not as far reaching as they have become now; it needed particular minds to both develop and operate it. However, now, our modern IT infrastructure has become endowed with talented thinkers that can turn impossibility into reality.

With an increasing emphasis on DevOps, organizations are focusing on efficiency and better reliability. The multi-leveled and interwoven IT strategies require equally sharp eyes and a keen mind to notice and trace critical events that trigger a specific function – this is where real-time and centralized log analytics plays a vital role. AI helps to troubleshoot the main issues quickly and efficiently, while also predicting future problems.

AI has gone from being a buzzing luxury to becoming a necessity of industries today; AI is redefining the entire system of proceedings itself. It is being combined with human knowledge to create breakthroughs and opportunities that would have been impossible without its intervention. Even in IT, where the environment has increasingly become agile and dynamic due to DevOps, the complex methodologies are being simplified through AI implementation. Apart from procedural ease, AI enables IT professionals in gaining insights into the problems that are otherwise so hard to trace.

The immensely complicated DevOps process often falls outside the reach of the human mind. The operations involved need precision, pace and, big data streaming, which are possible only with AI intervention. Thus, AI has become a powerful and essential tool for efficiently analyzing and taking over decision-making processes for better results. AI fills the gaps between human capability and big data through applications of operational intelligence. Additionally, AI speeds up troubleshooting and real-time decision-making.

AI’s Cognitive Insights
One of the most groundbreaking pieces of AI technology is applied in IT operations, namely Cognitive Insights (CI), which utilizes machine-learning algorithms to match human domain knowledge with log data, open source repositories, discussion forums, and social threads. Through this informational repertoire, CI forms relevant insights that contain solutions to a wide range of critical issues faced by DevOps teams on a daily basis. DevOps engineers face numerous challenges, which can be effectively attenuated by integrating AI into log analysis and other concerning operations. There are several applications of Cognitive Insights, which include:

Security
Frequent attacks such as Distributed Denial of Service (DDoS) have become all the more prevalent. Threats which used to be limited to high-profile public websites and multinational organizations are now targeting small-scale servers, SMBs, and mid-sized enterprises. Having a centralized logging architecture to identify and pinpoint potential threats from numerous entries is essential for warding off such attacks. For this purpose, the application of anti-DDoS mitigation through Cognitive Insights has been highly effective. Leading organizations such as Dyn and British Airways had sustained potential damage from DDoS attacks in the past and subsequently installed a full-fledged ELK-based anti-DDoS mitigation strategy to restrict hackers and secure their operations against future attacks.

IT operations
Cognitive Insight can compile logs at a centralized point, with each entry carefully monitored and registered. It also provides the luxury of viewing the process flow clearly and executing queries of records from various applications; this thereby increases overall efficiency. With AI Cognitive Insight it is becoming straightforward to pinpoint the small, yet potentially harmful, issues in vast streams of log data. The core of this program is based on ELK stack and makes it easier to have a clear view of DevOps processes through the help of data simplification and assortment.

Besides these cases, AI integration in DevOps can yield several other useful outcomes including:

• AI-driven log analytics systems efficiently solve issues of identifying and resolving critical issues, which subsequently amplifies management and overall operational pace
• Improved customer success due to better results
• Monitoring and customer support becomes even easier
• Risk reduction and resource optimization
• Maximize efficiency by making logging data easily accessible

In other words, Cognitive Insights and other such Artificial Intelligent integrations can be of great help in data log management and troubleshooting. They can quickly pinpoint the issues from thousands of log entries which are often time consuming and erroneous when a human mind handles them.

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Understand How Artificial Intelligence and Machine Learning Can Enhance Your Business

Automation is the key to success; every company is expanding on this domain’s expertise, as organizations take on a more global approach. Given the problems of decision making, learning, and the need for adaptability when understanding data, data scientists introduced the concept of Machine Learning within the realm of Artificial Intelligence. These practices have been able to bring about a radical change in modern business efficiency.

Artificial Intelligence is commonly a platform which performs tasks intelligently, without incurring the need for human intervention. On the other hand, Machine Learning is an exclusive part of the Artificial Intelligence world, which encapsulates the know-how and the logic behind making the concept of Artificial Intelligence a real success story. Through the use of Machine Learning, machines can be taught to work more sensibly, thereby allowing them to recognize different patterns and understand new circumstances with ease.

Machine Learning has come to be used extensively, especially when it comes to providing analytical solutions to the world of consumers and technology. Through large systems of data, Machine Learning has been able to drive solutions, which help create a more data-driven approach towards solving problems.

How Artificial Intelligence is Changing Enterprise Applications

Corporate enterprises are showing a growing interest in the field of Artificial Intelligence and Machine Learning. From IBM’s Watson to Google’s DeepMind to AWS’s multiple Artificial Intelligence services, there is a lot of activity happening in the market these days.

Other features of Machine Learning include the likes of Deep Learning, computer vision and natural language processing (NLP). With all these innovations languages in place, computers can enhance their functionalities, including pattern recognition, forecasts, and analytical decision-making.

By incorporating Artificial Intelligence and Machine Learning techniques in day to day functions, large enterprises can automate everyday tasks and enhance their overall efficiency in the long run.

Here are some ways in which Machine Learning techniques are helping enterprises enhance their efficiency:

Improving Fraud Detection: Fraud detection has become the need of the hour, as more and more companies are investing heavily in these new capabilities. With more companies falling prey to fraudulent practices, there is an imminent need to be ahead in the game of fraud detection. With Artificial Intelligence and Machine Learning in place, companies and organizations can extensively direct their resources towards enriching their fraud prevention activities, to help isolate potential fraud activities.

Loss Prediction and Profit Maximization: When it comes to deriving insights from heaps of data, there is nothing better than Machine Learning to prevent loss prediction and maximize profits. The stronger the techniques, the more foolproof the loss prediction methodologies would become in the long run.

Personalized Banking: In this era of digitization, everything is automated. For this reason, banks often seek to deliver customized, top notch, personalized experiences to their customers to keep loyalty intact. By leveraging their data, banks can aim to unearth customer needs and fulfill them with the utmost precision and dedication.

Robotic Financial Advisors: Portfolio management has become the talk of the town these days, especially since robotic financial advisors have stepped into the game. Clients can benefit immensely by this advancement, since the right opportunities are mapped with their portfolio needs and demands. Robotic applications are easy to merge with services such as Alexa and Cortana, allowing banks to provide exceptional service to their customers. Through this integration, financial institutions can hope to acquire new customers and also offer more individualized services to existing customers.

Next-Era Digital Traveling: Through the use of recommendation engines, travelers can experience the new recommendations for their travel aspirations. Organizations can play a role by allowing customers to converse with chatbots, which are created through the use of Artificial Intelligence and Machine Learning. As predicted by Gartner, by the year 2020, 25% of all customer service operations will rely on virtual assistant technology to make their business ends meet.

Detailed Maintenance: Through the help of predictive maintenance, industries like aviation, transportation, and manufacturing are expecting to be able to provide the best customer service in the market. Through the use of predictive models, such industries can accurately forecast prices and predict their losses, thereby, reducing any redundancies in the future.

With digitization paving the path of the future, there is a bright scope for companies and organizations which are investing heavily in these new age technologies of Machine Learning and Artificial Intelligence. Third party consulting services such as Idexcel are ready to help companies looking to take their first step with industry leading consulting and cloud-advisory services.

As we progress through the years, what should be interesting to note are the changes we will get to see in the various industries, as every sector aims to provide exceptional customer service to their customers in multiple ways.

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