The buzzing technology giants, big data, IoT and cloud computing are completely separated disciples. But the union of these technologies is leading us towards an advanced version of our world. According to IDC, “Within the next five years, more than 90 percent of all Internet of Things data will be hosted on service provider platforms as cloud computing reduces the complexity of supporting the Internet of Things ‘data blending’.” Nowadays IT sector is shifting itself from product orientation to information based outcome orientation. The coupling of these technologies is helping our healthcare industry to become smarter, advances in self service analysis, beneficial for industrial IoT, adoption of edge-computing and so on.  

For more info, go to:

https://www.analyticsinsight.net/convergence-of-big-data-iot-and-cloud-computing-for-better-future/

We all are aware of outstanding facilities by Amazon web services in terms of data solutions and cloud computing. Everyday thousands of companies and industries are collecting and accessing terabytes amount of data.  The fabulous features of Amazon’s framework, the manageable & cost-effective databases and the storage facilities, simple and cost effective Amazon’s redshift data warehouse, business intelligence and analytics are actually endorsing big data analytics.

Want to know more how big data is using AWS services, visit:

https://www.analyticsinsight.net/enhancing-aws-platform-with-big-data-solutions/

AI and cloud computing is actually complementing each other. As we know, a typical computer can never hold the large amount of data processing by AI. We need a better alternative, so by combining AI with cloud AI can make use of dispersed hardware on cloud. Though this business companies can analyze and interpret massive amount of digital data. 

The future with the union of AI and cloud will definitely comes up with revolutionary innovations and technologies. Some best innovations can be integrated & server less platforms, the intelligent edge, data analytics and so on.

Interested to know more about the combination AI & cloud, visit:

https://www.analyticsinsight.net/how-ais-inclination-towards-cloud-computing-will-transform-the-domain-in-2018/

The enormous amount of data is increasing day by day. But, unfortunately it is reported that the inability to analyze the current data obstructs the businesses to take advantage of the services.  With the use of OCR (optical character recognition) our collected data makes some sense. OCR depends completely on manual checking. Instead of using OCR we can implement RPA (robotics process automation).

So, how we can use RPA? For more information go to:

https://www.analyticsinsight.net/why-our-rpa-implementations-need-an-ocr-replacement-immediately/

We all are aware of the elevation in technology due to AI, ML and Robotics. Now lets’ see its impact on in the side of business management.

  Applying AI to a machine makes it capable to mimic human abilities. Nowadays, machines with their highly advanced skills of problem solving, planning, perception etc are able to recruit employees of the company. These machines are firstly being used by recruiters to do their jobs more effectively and efficiently, but also it helps the candidates to find most relevant job as per their qualification and job requirements.   

Want to know more about this? Visit:

https://www.peoplematters.in/article/hr-technology/heres-how-ai-ml-and-robotics-are-shaping-talent-management-18103

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/