SigmaWay Blog

Technological innovation occurring all across the countries has made it easier to crowd source it to provide with better and faster services, funding and navigation. Powered by social media, new tech and web 2.0, Crowd sourcing is a sourcing model by which it engages a ‘crowd’ or group for a common goal — often innovation, problem solving, or efficiency. Being a blend of two words- crowd and outsourcing, there is no doubt that crowd-sourcing is helping various organizations to tap new ideas and solutions in order to encourage deeper consumer engagements, co-creation opportunities and reduced costs. It cuts across various dimensions and enhances all social and business interactions. Not only it is used by private organizations the way they work, hire, research and market but also by Governments to empower people and to enable them to voice their opinions in crucial matters of the country. Crowdsourcing also has the potential to revolutionize the system by touching across various fields such as science and technology and education. 

Read more at https://www.entrepreneur.com/article/307438

One compact, focused and holistic approach for enhancing skills and developing the knowledge base of any newbie learner is micro learning. It makes any business context valuable in the ways by which it provides the right amount of information necessary to enable a learner to achieve their specific objectives and goals. Microlearning processes takes place either through evolving structures like weblog postings or social bookmark managers on the World Wide Web or through interface with micro content in designed media settings. Broadly speaking, it is used to describe the way people are actually doing informal learning and gaining knowledge based on Web 2.0 and wireless web technologies, in micro-content, multitasking environment and micro-media. Some of its vivid characteristics involve variety in the microlearning contents like game, video, quiz and so on; its granularity in narrow topics and concepts and brevity.  The benefits of microlearning spread over its capability in acquiring just-in-time learning and effective and varied learning. With its focus on isolated portions of learning, it is not so great when trying to connect incongruent elements of it into one consistent picture.

Read more at: https://www.efrontlearning.com/blog/2015/09/everything-you-wanted-to-know-about-micro-learning-but-were-afraid-to-ask.html

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/

Cloud computing is basically just a way to make use of remote servers on the internet to store, manage and process data. Here are four ways in which cloud can improve as well as lift up the standards of hosting on internet.  

Building digital-first infrastructure: as per the different sizes and needs of industries, cloud is transforming itself. 

Managing data: cloud is working as a helping hand to manage the growing volumes of data.

Artificial intelligence: cloud is helping AI to adapt new platforms.

Anonymous vehicles: A vision of driverless cars, use machine learning and AI deployed on cloud. 

For more information go to:

https://www.forbes.com/sites/joytan/2018/02/25/cloud-computing-is-the-foundation-of-tomorrows-intelligent-world/#7f61fb734073

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

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/