SigmaWay Blog

The pact of era divides itself in three stages-pre-modern, modern, post-modern. The era with an ideology of marketing that walks with these three stages can be explained, now marketing is turning up to post-modern where it pushes down emotional and the left brain. The trend which is playing the most exogenous aspect to the buyers by recollecting them together and pushing all ideas of innovation tech to experience made to buyers. The greater impact that can change and will continue to change many marketing businesses are AI and machine learning, which provides accuracy based on sales. Marketers should focus on its strategies to use machine learning with much more creativity, use more analytical tools, should be emotional and more suitable. Read more at: www.thedrum.com/news/2017/06/06/get-ready-the-era-post-modern-marketing   

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 

Facebook is a global social platform which helps in building relationships and connections, and is extremely beneficial for the businesses looking for their promotion in order to achieve a substantial growth. The best way to reach out to maximum number of people in a short span of time is to get connected through facebook groups. Following are  the key strategies to a successful networking strategy that will drive more people to your page on facebook: 1) Sharing the main components of the article being published on your website about your company with the facebook group members. 2) Sharing the upcoming programs of your organisation with the facebook group members apart from publicizing on the facebook page. 3) With mutual conversations, trying to figure out what are the interests of the target market. 4) Through sharing informations, elevating the curiosity of the audience to know more about your business's page on facebook. Read more at https://www.entrepreneur.com/article/296435

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/

When combined with direct mail, social media marketing can open the portal to a powerful promotional strategy?  The three C’s of social media marketing make it clear that you really have nothing to lose – and everything to gain – by establishing an active, and lucrative, online/offline presence. 1.) C is for content: Being seen and listened to is everything when it comes to making an impact on your customers, and attracting new business. 2.) C is for Connecting: Research indicates that there’s every reason to believe that connecting with your customers through various social media channels will lead to greater brand loyalty. 3.) C is for conversions: Every conversion starts with a conversation, and there’s no better place to communicate regularly with your ideal market than at hangouts like Google, Twitter, Pinterest, and Facebook. Read more at: http://www.business2community.com/social-media/3-cs-social-media-marketing-01864077#Oq3u08OGbAqj4KQR.97

According to authors,Machine-Learning, a subset of Artificial Intelligence (AI), is applied by firms in evaluating  financial decisions like assessing credit worthiness and eligibility criteria for an insurance policy, fraud prevention, by tracking fraud indicative transactions, thereby reducing the fraud rate, risk management, tasks of compliance, natural language processing, where this system can shift through thousands of commercial- loan contracts in seconds  and trading, where it is used both to crunch market data and to select and trade portfolios of securities. In the quantitative front, machine-learning algorithm , helped in making investment decisions, by picking up acquisitions before announcement, managing the client money and moving beyond the boundaries of conventional trading strategy. Read more at http://www.economist.com/news/finance-and-economics/21722685-fields-trading-credit-assessment-fraud-prevention-machine-learning?zid=291&ah=906e69ad01d2ee51960100b7fa502595

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/

According to authors , ABM is an account based strategy that merges sales and marketing. It mainly works with two datasets Ideal Customer Profile (ICP) and Total Addressable Market (TAM) to shortlist customers and individual accounts. Sales allot Tier and Play to each account and decision about the most sensible messaging paths and plays for individual accounts, depends upon the recommendations from marketing. The following technology set up aided ABM to achieve greater success:
• Major technology cleanup
• Marketing Automation and CRM
• Major Database Cleanup
• An account and ‘People’ Build-out
• Good Spreadsheets
Though it has information on target accounts and concerned people, SDR’s(Sales Development Reps) have limited bandwidth and lacked provision to distinguish between the strangers and acquaintances. Read more at  https://blog.insideview.com/2017/06/08/hear-learnings-from-insideviews-own-abm-journey/

According  to the authors, artificial intelligence is applied when a machine mimics “cognitive” functions that humans associate with other human minds such as “learning” and “problem solving”.  So  Han Wang, Jing  Guo  and Colleagues reported in American Chemical Society(ACS) NANO , that  they were successful in developing an artificial lab-made synapse, which was flexible and diverse and  has the capacity of simulating a primal function of our nervous system, i.e., the release of both excitatory and inhibitory signals from the same pre-synaptic  terminal. . This amassed huge demand and popularity  in artificial neural networks and it simplified the design and role of nervous simulations. Read more at https://www.sciencedaily.com/releases/2017/06/170628095814.htm

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

According to the author,ten important steps to enterprise strategy alignment are as follows:                                                                                                                  

1)Several aspects like current results,loyalty,etc are evaluated by enterprise assessment.                                                                                         

2)Every enterprise should focus on their mission,vision and values.                  

3)Go-to-market strategy like target customer,value proposition and others.                                                                                                                   

4)Business Model Design like Metrics.                                                           

5)Revenue Plan like Customer Goals.                                                                   

6)Execution Plan and Improvement.                                                                     

7)Financial Budget involves financing capital,asset,cash flow.                            

8)Alignment of the systems and processes.                                                                 

9)Rollout,i.e. Distribution, Communication.                                                           

10)Monitoring -This includes process review,system review and strategy review. Read more at: http://www.businessmapping.com/blog/enterprise-strategy-alignment/

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: