SigmaWay Blog

Despite Robots, RPA- Robotic process automation is a part of AI umbrella. Many institutions, like the bankers, are looking for RPA for accessing more efficiency in their system, for cost minimisation, efficient work with operation smooth working, and for customer satisfaction. Bankers use RPA for making things easy and building a smooth working environment that will automatically improve the customer experience. By increasing efficiency and waving out from cube farms, environment RPA application is providing a new software tool that will automate the efficiency in the workplace. Read more at: http://www.bankingexchange.com/news-feed/item/6872-what-you-need-to-know-about-robotics?Itemid=653  

Canada biggest bank entering towards an era of machine learning, and they are using machine learning techniques for their system. So, RBC (Royal Bank of Canada) is hiring more engineers than business people, where the programmers developed for uses technique that is machine learning. Moreover, the bank is developing a technique which would help them to work and load data efficiently. The important factor is the customers who deal their prices with more information to look at their risk. It is a vogue that the machine learning and artificial intelligence will boost the financial sector with big reforms. Read more at: http://www.cnbc.com/2017/03/29/rbc-capital-markets-machine-learning-trading.html 

With advancement, AI technique helps on unnecessary biopsies for analyzing mammograms for breast cancer, this technique is used by the method of scanning medical charts with results on mammograms by cross checking. Researchers predict that the algorithm used for reading mammograms are more complete results and analysis are done with more accuracy and reducing unnecessary biopsies. The standardization of these algorithm provides positive results with 99 percent accuracy to analyzes mammograms for breast cancer. Read more at: https://futurism.com/artificial-intelligence-reads-mammograms-with-99-accuracy/

How Big data help today's world on sustainability by developing a platform for scientists and researchers to make the world in the path of development. Data estimated in the year 2020 will be pooled up by huge information than current scenario. It has been known by every individual the change in climate is because of human's activity and can be improved by the action taken by each one. This issue can be seen on the rear image with different insights in the world by using big data application. Big data will help by collecting more and more data on the business activities and their impact on the environment. Big data is actively acted to make a change by mitigating cost and aiming towards the friendly environment, by understanding more on demand on energy. Read more at: https://datafloq.com/read/what-does-big-data-mean-for-sustainability/2412   

Machine learning and AI are flooded with data and are most of the sectors in the world are using such technique. Machine learning is a technique without any human intervention and is very fast and efficient. It enables humans with new and extraordinary idea to understand things more prominently and helps in support marketing to understand market and customer more deeply and pull out the data more efficiently by all the means of the use of Machine Learning. To keep efficiency and make the decision more accurate in the field of customer oriented place, there is pool of data available with Machine learning solutions. Read more at: https://www.ama.org/publications/eNewsletters/MarketingInsightsNewsletter/Pages/machine-learning-artificial-intelligence.aspx?utm_content=bufferba2a8&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer 

According to the author, it is now possible to examine which part of an image, AI is focusing on, in particular and what it is trying to interpret out of it. Chris Grimm of Brown university has devised tools and techniques, which are when tested on AI, scans where it was focusing on while it categorised the objects, the process includes dividing the objects into different elements and looking for them in the image to be sure of the decisions. This close examinaton of the functioning of AI helps in trusting the decisions taken by it. Read more at https://www.newscientist.com/article/2139396-peering-inside-an-ais-brain-will-help-us-trust-its-decisions/

According to authors, today, a new set of analytics tools,  ”Adobe Sensei for Voice”,  has  been  launched by Adobe, which will aid brands to better its metrics, in the field of targeting customers across social media,email and actions often taken by users  with their conversational  AI of choice and the things they daily deal with, by seeking the help of conversational  data- both user intent and contextual  data. This will help developers and brands, worldwide, to have easy access to  total customer interactions, usage time and frequency of intent.  Amazon Echo Dot has been marked as the leading market in the growing space.  Read more at https://techcrunch.com/2017/06/29/adobe-releases-analytics-tools-for-conversational-ai/

Digital twins refer to computerized companions of physical assets that can be used for various purposes. Digital twins use data from sensors installed on physical objects to represent their near real-time status, working condition or position. With digital twin, optimized machine design and smooth operation is ensured. It also helps predict precisely when maintenance will be required by a particular asset based on unique conditions. A few advantages are: 1) understands how change in manufacturing process can impact cost, 2) checks the current operating status, 3) can perform proper maintenance procedures. Digital twin with advanced analytical tools and machine learning will improve predictive analysis. Read more at: http://www.datasciencecentral.com/profiles/blogs/what-are-digital-twins

In the age of automation ,many hotels are using the data analytics to understand the free amenities that consumers like the most. The proper use of analytics will help them to please both the new and old visitors. In order to execute the hotel's amenity analytics, the following methodologies are used:                                          

1]To tap into the hotel's reservation system to find data                              

2] To incorporate this data with survey data from consumers. This helps the hotel management process easier by making the digital computation of the value of free amenities and by providing better analysis of the data available and making space for new reliable and valuable data.

Read more at: http://www.techrepublic.com/article/how-analytics-help-hotels-gain-customers-loyalty/

GST-Network (GSTN) is trying to provide hi-tech security and analytics center to give protect the data under the Goods and Services Tax (GST) for the cyber threats. GSTN will be appointing security companies by August to build up Security Management and Analytics Centre (SMAC). SMAC will implement data analytics to protect the GST system from cyber attacks and will provide a better and protected environment for GST ecosystem. Read more at:http://cio.economictimes.indiatimes.com/news/digital-security/paranoid-about-security-setting-up-analytics-centre-gstn-ceo/59092397

India is planning to observe the pollution level in the ocean with the level of automation and based on the observation it will try to take measure to reduce the pollution level in the ocean. As the tourism industry along the coasts are flourishing in a large scale in India, the pollution is also increasing . This project will help to predict a threshold value of dumping waste into the ocean by forecasting the pollution. Different time scales will be taken into account to observe the significant changes occurring in the coastal waters and to estimate how different parameters are like along the coastline of India. Read more at: http://economictimes.indiatimes.com/news/science/india-plans-automated-ocean-pollution-observation/articleshow/58640371.cms

A huge amount of digital data is getting piled up every day and to deal with that the technology recruiters are valuing the skills in data visualization, data science, machine learning and data analysis the most. These skills in data analysis help the companies to give more insight about the data and help to predict a better future. With the courses on data science people are now showing immense interests in machine learning and data visualization tools. Professionals are willing to upskill to keep pace with the automation. Read more at: http://economictimes.indiatimes.com/jobs/techies-reskill-to-log-on-to-big-data-deluge/articleshow/58103804.cms

Many big companies are trying to adopt sophisticated artificial intelligence and other advanced technologies without practicing basic data analysis. But this will affect the companies adversely. Without basic automation and strategic vision of solving basic problems using basic data analytics, companies cannot use the AI and advanced technologies to reach the correct results. The different ways of AI are not yet fully discovered by the companies .AI has the full. potential to reinvent business but before that proper automated and structured analytics are needed to be prepared to nourish the advantages of AI. Read more at: https://hbr.org/2017/06/if-your-company-isnt-good-at-analytics-its-not-ready-for-ai:

Data mining is the practice of examining large pre-existing databases in order to generate new information or to predict future trends. It is useful because: 1) it helps in identifying the multi-dimensional patterns of large data, 2) establishing relationships, 3) putting together predictive models, 4) customer data can be mined to acquire new customers, retain customers, cross-sell to existing customers, 5) helps financial sector companies build fraud detection models and risk mitigation models, etc. Skills required for data mining are statistical knowledge, artificial intelligence/machine learning, and competency in Python, R, and SQL; also along with these technical skills a data miner should have business knowledge and other soft skills. Read more at: http://www.datasciencecentral.com/profiles/blogs/data-mining-what-why-when

GDPR gives customers the right to control their personal data, to modify, restrict or withdraw consent, and transfer data. GDPR helps in reinforcement of customer’s trust and reduce regulations. With unified data governance, businesses will comply easily with law regulations that redefine client personal data usage. While without it they will be at a risk of potential data breaches and loss of client trust. With GDPR, companies are required to have technologies and data and analytics solutions which help them manage their data to provide a positive customer experience across channels. In future, these organizations will be able to secure a competitive advantage by gaining client consent to use personal data and improve the customer experience. GDPR will help in increasing awareness of the value of personal data. Read more at: http://www.datasciencecentral.com/profiles/blogs/gdpr-a-change-in-the-making

To avoid the complexity of natural language for computer programs, a proposed approach is suggested which simplifies the language into sequences of predefined keywords. The approach is: 1) the relevant proposed keywords should be obtained by applying patterns and rules in the text. 2) New keywords must be defined and the corresponding idea must be explained by those. 3) The statistics of the new keywords and patterns should be systematically collected. 4) Statistical analysis or data mining techniques will help in detecting sub-optimal situations. 5) Progressively this will lead to the generation of an optimal set of keywords and patterns and the final knowledge encoded will be easy to mine using simple programs. Read more at: http://www.datasciencecentral.com/profiles/blogs/feasibility-of-a-personal-knowledge-management-system-based-on

Bots are the update of apps and websites. Bots will improve the way we use mobiles and computers. Bots will make it easier and faster to get things done. Bots also solves the download problem caused by apps. For developers and businesses, bots dramatically reduce the cost, time of developing and marketing their services. Read more at: https://www.entrepreneur.com/article/278001

Artificial Intelligence is one of the most important part of our daily life from simple features like automatic image tagging to prediction and recommendation in business. AI will begin to learn emotion, better understand human sentiment and solve more complex problems. Soon, companies will be able to automate a large chunk of data analysis, decision making and customer service, allowing employees to tackle the most complex challenges rather than get bogged down in the details. Read more at:https://www.entrepreneur.com/article/290444

In recent times, innovation of machine learning and artificial intelligence has changed the paradigm of the tech world. Some trends prominent in the development of machine learning are: (i). Big companies are developing machine learning based artificial intelligence systems and it will continue to grow, (ii). Along with data, with the development of machine learning, algorithm economy is expected to develop more, which will distinguish small business from the large ones, (iii). Interaction between machine and humans is expected to increase. In conclusion, machine learning and artificial intelligence is expected to grow but humans can’t be completely replaced right now. Read more at: http://www.datasciencecentral.com/profiles/blogs/trends-shaping-machine-learning-in-2017

Data exhaust refers to the data generated as trails or information byproducts resulting from all digital or online activities. These consist of storable choices, actions and preference information that are generated for every process or transaction done digitally. This is mainly produced by manufacturers and retailers. A lot of data are collected by manufacturers, which they don’t need, but it’s needed by suppliers or for quality control. Data exhaust is also a revenue opportunity; the data which is not needed by the manufactures can be sold to the suppliers or a chain of suppliers. Read more at: http://www.datasciencecentral.com/profiles/blogs/what-is-data-exhaust-and-what-can-you-do-with-it