SigmaWay Blog

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/

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/

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

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/

Hadoop has helped in shaping the future of weather forecasting in a much better way than the analyst could have ever predicted.  More factors can now be evaluated in the models. Also, the advancement in big data has allowed meteorologists to highly depend on the digital models. How exactly will Hadoop affect the future of meteorology? Find out at:

https://www.smartdatacollective.com/hadoop-predictive-analytics-improves-weather-forecasting-models/

Chatbots and AI are being reshaped everyday for a better outcome. They are available 24/7 for specialized customer service. They are better at engaging with customers. They are intelligent and hence can provide support to customers. Chatbots provide many advantages with their highly-capable functionalities. Find out all of them at: 

https://www.smartdatacollective.com/ways-chatbots-changing-customer-service-cycle/

In the current scenario, AI is a big game changer in customer service, interaction and transitions. It uses data to effectively target the right audience with right content for best consumer experience. It has made Customer Relationship Management smarter then ever. AI-enabled chatbots render an ideal customer success paradigm. AI uses knowledge-base for customer success team. It improves customer success automation. Read more at: 

https://www.smartdatacollective.com/how-ai-play-crucial-role-in-customer-success/

The union of artificial intelligence and big data analytics had awaken lots of business ideas in creative minds. Many of the start-ups are planning to come up with some innovative business ideas. As per the survey of 2018 around 97.2% of the companies are at the verge of implementing and launching AI and Big data initiatives. The executives of the companies now can visualise the potential. Large enterprises now can directly access the essential volumes and sources of data. These were used to understand the AI algorithm to resolve the patterns and its behaviours. Many companies like American Express and Morgan Stanley have publicly shared their success stories.

For more information, visit:

https://sloanreview.mit.edu/article/how-big-data-and-ai-are-driving-business-innovation-in-2018/

A number of trends lately has helped in shaping the Big Data. But, digital transformation is one of the key ones of all. It is being predicted that it might change the ways of data science profession in the years to come. Key features like flexibility, access to expertise, data security, etc. has helped it overcome most of the challenges. Many are saying that data transformation is the next major phase of Big Data. Find out more at: 

https://www.smartdatacollective.com/digital-transformation-unexpected-renaissance-age-of-big-data/

Artificial Intelligence has always been an integral part of the gaming world. When we play a single player game, against computer, who actually is playing against us, it is the artificial intelligence. But the role of AI may extend further, it may be used for mitigating the risk of fraud. They may help in building better relationships with the long-time gaming customer. So, have you ever wondered about  the future of AI in gaming industry? Find out at: 

https://www.smartdatacollective.com/gaming-platforms-adopt-ai-customer-risk-profiling/

A number of times, users tend to fill in false demographic inputs in different surveys to earn rewards and enjoy premium benefits. But, visual data may change that for these organisations. Facial Recognition can help authenticate those inputs and reduce the rate of response errors in the survey, making it way more valid than before. Read more:

https://www.smartdatacollective.com/big-data-facial-recognition-tools-launch-consumer-research/

Every business is undergoing a digital transition, which in turn keeps adding huge amount of information every day. Big Data is one of the best tool in today’s world when we talk about problem solving. It has truly helped us in overcoming the age-old challenges, and now it is doing the same with different businesses. Read more at:

https://www.smartdatacollective.com/big-data-unlocks-key-age-old-challenges-businesses-face/

The NFL or The National Football League is a professional American football league consisting of 32 teams, divided equally between the National Football Conference and the American Football Conference and the use of new technology of analytics has entered in the mainstream of the league. Nowadays, technology is part of players' gear to get data and statistical information. For example, radio frequency identification or RFID sensors are sewn into shoulder pads of the players.

Now, football has advanced to the point the sport is complemented by bio-mechanics, blood analysis and wristband monitors. There is even a sleeve that can be worn to monitor the stress on a quarterback’s arm. The data that is received from these monitors can help in selecting special practice sessions to manage fatigue levels for the player. This application reduces the risk of some injuries.

Read more at: Here

Artificial Intelligence has come to a new dawn. The future truly relies on AI. From Eliza to Google Assistant, AI chatbots have come a long way now. But how are they helping to strengthen the marketing efforts. Find out at:

https://www.smartdatacollective.com/ai-chatbots-help-strengthen-marketing-efforts/

Most of the organisations right now are collecting a lot of data every day and doing all sorts of manipulations with it. And now, since we have the right tools, it is easier for us to make better decisions and have more cost efficiency. But, the machine all on its own can never be of the best use for data management. A co-operation between humans and machines is becoming essential at all levels. Read more at: 

https://www.computer.org/web/computingnow/insights/content?g=53319&type=article&urlTitle=5-reasons-the-future-of-big-data-requires-human-machine-cooperation

Road accidents almost tops the list for the cause of injuries and death all around the world. But now, Big Data researchers seem to have come up with an effective solution. They say Big Data can help us understand crash site data, make vehicles safer and eliminate risk in isolated solutions. Some suggest that automated vehicles are the way to go. Whatever they do, road safety cannot be achieved without human effort and focus. Or can it? Read more at:

https://www.smartdatacollective.com/investigating-the-relationship-between-big-data-and-road-safety/