Nowadays, you can find the influence of economics in your favorite sports. The sports industry is using data and research to evaluate players, strategies and even leagues that are particularly driven by the rise of game theory in economics as game theory in sports industry uses models to figure out optimum strategies like what kind of Baseball pitches to be made or whether American Football teams should pass more. Some teams hire economists to solve specific strategic problems. The rise in sports economics is continuing as the data gets better and teams compete for a strategic edge. Want to know more about sports economics, visit: http://theconversation.com/how-and-why-economics-is-taking-over-sports-88574

Researchers at MIT have integrated AI with Radio Waves for visualizing people on the other side of the wall. While it sounds like the kind of technology a SWAT team would love to have before kicking through a door, it’s already been used in a surprising way—to monitor the movements of Parkinson’s patients in their homes. The radio signals that they use are very similar to Wi-Fi but a little less powerful. The technology  depicts the people in the scene as skeleton-like stick figures, and can show them moving in real time as they do normal activities, like walk or sit down. But how does it work? Find out at:

https://www.popsci.com/see-through-walls-artificial-intelligence

Big Data and Analytics are not just confined to online services anymore, they have made their way to changing things offline as well. One of the fields where they have a significant impact is manufacturing. Big Data has been able to perform Predictive Maintenance. It can help in analyzing performance of individual machines. Not just this, they can even help in making improved strategic decisions for better outcomes. Big data analytics are changing manufacturing for the better. The only question is, will you be coming along for the ride? To know more: 

https://www.smartdatacollective.com/how-big-data-and-analytics-are-changing-manufacturing-for-the-better/

When it comes to development in IoT, one should try to bring out the most useful aspect of anything using IoT. Slow but stable approach allows teams to begin gaining benefits gradually without running the risk of outpacing their learning curve. Hosting on a secure ISO certified platform is also equally important as the first step towards user data security. Many IoT developers place too much importance on how devices are connected to each other, and too little on how they deliver value to meet customers' needs. Instead, one should focus on actual outcomes.

Read more at: https://www.informationweek.com/strategic-cio/it-strategy/four-tips-for-a-successful-iot-deployment/a/d-id/1331958?

Europe's General Data Protection Regulation, commonly known as GDPR, recently became a very popular concern for most of the companies collecting data over internet. This GDPR is a rule passed by the European Union in the year 2016, setting some new rules on how companies will manage and share personal data. On 25th May 2018, they also introduced some new changes which forced the companies to make changes in their policies. Many rules in GDPR are built on rules set by earlier EU privacy policy like the Privacy Shield and Data Protection Directive, but now the rules are expanded in two crucial ways. First, the GDPR sets a higher bar for obtaining personal data than we have ever seen on the internet before. Therefore, any time a company gathers personal data on an EU citizen, it will need clear and informed consent from that person. Second, the GDPR’s fines are severe enough to get the entire industry’s attention.

Read more at: https://www.theverge.com/2018/3/28/17172548/gdpr-compliance-requirements-privacy-notice

Recent statistics shows that employee retention has been drastically going down recently. But, Artificial Intelligence and predictive analysis tools might help us overcome this situation and help the employees to stay satisfied. It is to understand frustrated employee faces and implement sensible solutions to reduce the turnover. It can also help to eliminate monotonous task and make boring job away from the employees. It can help HRs to understand the main employee engagement factors. This in turn will boost company performance. Read more at: 

https://www.smartdatacollective.com/artificial-intelligence-unlocking-boosting-employee-retention/

Big data systems have been growing more efficient every day. The data trends have been ground breaking in 2018 as well. There has been implementation of one of the most enhanced cybersecurity model ever. Not just cyber crime, but the crime rate in general has started to come down all around the world in the last 20 years. The expansion of Internet of Things is another amazing influence of Big Data in todays industry. Artificial Intelligence has actually started reaching out to the masses. A number of new occupations have started coming up already. There are plenty of other news from around the world on Big Data. Find them out at: 

https://www.smartdatacollective.com/buzzworthy-big-data-trends-year/

Blockchain technology has disruptive potential as this technology can play a big part in streamlining the supply chain process and ensure farmers and buyers can connect in a more secure and transparent way. Banks and insurance companies will also be able to see the real time position of the farmer. In all, blockchain can empower farmers and improve the terms in which they conduct business. The world’s population looks set to reach ten billion by 2050, agriculture will have to adapt and improve with technology becoming an ever more integral part of how it operates. 

Read more at: https://www.theglobaltreasurer.com/2018/05/09/how-agriculture-can-benefit-from-blockchain/

Nowadays, Artificial Intelligence is not new to this world. AI is used in almost every field, especially in the field of business. To make business related decisions, you need data. This data is analysed and then plans and actions are decided. From identifying the problem to discover actionable business insights, right analysis of data can transform business operations and take it to higher level. 

However, with the power of AI you can automate this task of data analysing, transforming raw data into actionable business intelligence. One thing for which Artificial intelligence is hungry for is data! The more data you feed it, the better results it gives to you. But with the vast amount of data that AI requires, it also follows the concept of “Garbage in, Garbage out.” Feeding the right thing to AI should be the up-most priority to get results. For this reason, many companies are making changes in their data management space.

Read more at : https://www.technotification.com/2018/05/ai-changing-enterprise-data.html

Machine Learning is one of those technologies which have invaded in our lives to make it better. Without any doubt one can say that even though machine learning is in its initial phase, it has already become a part in our 24/7 running lives. Set of algorithms to use data, learn from it and then forecast future trends for that topic is expanding day by day.

Machine Learning and Data Sciences are often used together in order to predict future from varied data results available with us. One of the famous algorithm used in this field is SVM or Support Vector Machine which can be used for both regression and classification task. It uses the concept of hyperplanes and other mathematical functions in order to produce significant accuracy with less computation power. SVM has already proved itself in text categorization, image recognition, and in bioinformatics and now working in other.

To know more about how SVM works visit : https://towardsdatascience.com/support-vector-machine-introduction-to-machine-learning-algorithms-934a444fca47

Artificial Intelligence, Machine Learning and Deep Learning are now the most exploring topics for any techie. In spite of enough differentiation between these terms, they are often used interchangeably. To put an end to this confusion one could say that ML and DL are nothing but cousins of AI. 

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Many applications of AI are being seen and used today. From voice-powered personal assistants like Siri and Alexa to self-driving cars and many more are applications of AI.

On the other hand, Machine learning is an artificial intelligence (AI) that is discipline geared toward the technological development of human knowledge. Machine learning allows computers to handle new situations via analysis, self-training, observation and experience.

Whereas, deep learning is a subset of machine learning which is a collection of algorithms used in ML to build and train neutral networks and act as decision making nodes.

So, though AL, ML and DL are interrelated but in this vast field of technology they all stand on their own and using them interchangeably would not be justice.

Read more at: https://towardsdatascience.com/cousins-of-artificial-intelligence-dda4edc27b55

It is said that with the future of technology another thing that is coming nearer to us is the risk of human extinction. Raymond Kurzweil, Google’s Director of Engineering and Futurist, published a book, The Singularity is Near, in which he welcomes a future in which AI will overcome human intelligence. Though we are still know that as super intelligence, but for now we do encounter AI in almost every aspect of our lives. Though in his book, the author welcomes AI as positive, most people fear job loss and the worst as human extinction. History indicates that any advancement in technology not always turns out to be bad. But, one could not ignore that with current technologies almost 45% of the jobs for which we are paid are now automated. This has become a topic of debate and no one knows what stands for us in advent of future. To know more visit: https://medium.com/@tjajal/automation-and-the-rise-of-meaningful-work-d1c7d596fee6

Now a day’s evolution and invention can be seen in every field. One thing common in these fields is the need of management. Any project is successful only if a proper management plan is adapted. Here, one evolution turned out to be a mirror of legacy. Agile approach is significantly opposite of the traditional waterfall approach. 

Waterfall Approach, also known as Liner Sequential Life Cycle, is highly structured and sequential in nature whereas Agile methodology is a practice that helps continuous iteration of development and testing in the software development process. 

Both of these approaches have their own strengths and flaws. Thus, it becomes important for a business to identify and select most appropriate approach.

To know more visit: https://www.itbusinessedge.com/articles/choosing-between-the-two-approaches-to-project-management.html

Blockchain has reached new heights for Big Data. It has strengthen cyber security and has been trying to create a  much more efficient world. There are numerous benefits of blockchain for Big Data. Improved data quality and security are the most important of all of them. It has also made data access easier. But there still are some challenges in the implementation. Find out more at: 

https://www.smartdatacollective.com/rise-of-blockchain-technology-mean-for-big-data/

Big data has started to play a vital role in gaming industries nowadays. Providing individual experience and maximizing the advertising of its products, gaming industry is far beyond ready to take big data to its peak. They have implemented techniques to collect data directly from online sources. They have data for marketing like never before. Big data has a new definition, a new meaning to everyone in the gaming industry, big data means a better consumer experience. Read more at: 

https://www.smartdatacollective.com/online-gaming-industry-uses-big-data-analytics-grow/

Technologies like SaaS has changed the PEO’s. A well-designed SaaS HRIS makes Human Resource easier, but a PEO who is also software expert will get much more value out of it than a small firm with little HR expertise or experience. According to experts, only 14 to 16% of SMEs are using PEOs and the number is likely to grow as the mega trend of starting small business continues. Advanced HR cloud technology in PEO helps them to hire the right people and will allow them to serve more customers in less time. Read more at: https://blog.hrcloud.com/hr-tech-creates-a-new-opportunity-for-peos