The AI World Government,a three-day forum that started on June 24th, gathered leaders in the government,academic and industrial sectors to exchange views on the challenges and possible benefits of AI in the automation. According to leading companies such as Gartner and McKinsey,AI has cognitive abilities,and tends to imitate human performance by learning, understanding complexities, predicting and providing solutions.Intelligence and defence government agencies are heavily relying on AI for its application and growth in the areas of healthcare, transport, commerce and administration. It is clear that the government is investing heavily and wants to explore the capabilities of AI .The methodology of developing tools and applications of AI came across as a public-private partnership supported by investment which is looking at combining human and computer power.

Read more at: https://www.aitrends.com/ai-in-government/government-an-integral-partner-for-exploring-ai/

In this rapidly advancing digital age, information technology is evolving from being a reactive organization with limited agility to be a predictive business enabler that foresees and anticipates business needs. So, the key in developing this competence is streamlining IT processes and working smarter, not harder. With this in mind, the author, Rose de Fremery, tech writer, takes a look into three technologies that are transforming business and IT operations today. These technologies are Cloud Computing, Artificial Intelligence and Automation. Read more about these technologies at: https://it.toolbox.com/article/3-technologies-that-are-transforming-business-and-it-operations

Smart work is vital for any business as you and your employees can focus on more important tasks. Sometimes, new businesses struggle from lack of time and resources to grow their business proficiently. Automating tedious and repetitive tasks through software can save time and thus progressing overall productivity as automation means automating one or more work processes with the help of technology to reduce or eliminate human intervention. To know more about automation, read at: 

https://www.business2community.com/small-business/why-automate-your-business-02132048

Improvement is a non ending necessity for any business to survive in this competitive industry. It is well known that bringing right technological change in business cuts the cost of production specially when the human labor costs too high and are replaceable with technology. In various surveys, it has been found that HR spends most of the time in transactional jobs such as data entry and minor mathematical calculations. These tasks can be automated by bots and this human resource can be provided proper certifications and they can be utilized for better tasks. There was a survey done in an organization. They implemented technology which improved the onboarding time of people from 120 minutes to 3 minutes. And the man power can be used for more important tasks such as decision making.

Read more at https://www.informationweek.com/big-data/ai-machine-learning/how-ai-and-intelligent-automation-impact-hr-practices/a/d-id/1332484?

Now a days, companies are investing a huge amount of money in Artificial Intelligence, Automation, Robotics etc in order to be up to date with technology. However, still there are few limitations that each of them faces. Even after adopting various technologies, the reports stated that the company still struggles in defining goals. Below are the five steps that companies must follow in order to improve and to meet their expectation for automation technology:

1. Recognize that the use of intelligent automation is transformative, and built on the use of new machines and data sources
2. Formulate a comprehensive approach to automating the service delivery model
3. Measure value vs. risk
4. Consider the “operating model” in all forms
5. Disrupt from within

Bringing innovation in always good but it is also suggested to look for other alternatives for investment as not all technologies proves to be powerful for a company.

Read more about it at https://www.techrepublic.com/article/5-steps-to-help-your-company-benefit-from-ai/

With advancement of technology, one field that will be highly demanded in upcoming years is turning up to be Artificial Intelligence. It is bringing changes that is transforming the world. AI comes with its sub streams such as data mining, machine learning, neural networks etc. This field has already become the area of interest for many programmers and developers. However, still there are not many developers in this stream. 

Schools, Colleges and Organizations have started providing courses on AI. It is one of the best career option. But Artificial Intelligence is just a main stream. One should have a clear mind about his career opportunities. Following are few options you can opt if interested in Artificial Intelligence and want to have a career towards it:

1. A.I. Research Scholar
2. A.I. based Software Developer
3. Data Scientist
4. Machine Learning Engineer
5. Automation Engineer

To know more about them visit: https://www.technotification.com/2018/04/top-5-career-opportunities-in-artificial-intelligence.html

Digitalization has become a global movement and initiatives are being set to accelerate the rate of adoption. 2030 has been declared as the target and many initiatives are already on their road. One such automation process that can that can change everything significantly is the business automation process. From improving customer experience to cutting down cost, business automation has the power to help the firm grow. 

However, automation efforts are only beneficial if the CIOs make right investments and decisions. It is often seen that with a wish to automate, many leaders often make wrong decisions which could cost them potentially higher than excepted.

The three business goals that investments in automation will help are:

1. Digitalize and optimize operation
2. Create and act upon advanced insights
3. Drive business technology innovation.

Read about them at https://www.techrepublic.com/article/how-to-automate-your-business-3-critical-steps/ 

Organizations should plan to handle data more efficient ways and therefore have better insights to gather from it. This article, looks at the trends that are sure to shape 2018 when it comes to big data. They are: Machine Learning, pay as you go applications, integration, automation, shared knowledge and innovation with better speed. Read more at: https://it.toolbox.com/blogs/lewisrobinson/big-data-innovations-that-are-sure-to-come-in-2018-020118

Database is the most important part of your CRM system and is effective only when the entries are correct. But, keeping them correct is a never ending struggle. If not attended, it will slow your database and eventually corrupted. When that happens, the database is of no use. Preventing database corruption is a huge task for everyone who uses the database. Correcting individual database entries does not take long, but it should be done all the time. Automation is the only solution. Many of the misspellings and duplication work can be done by your CRM system or third party software. Read more at: http://it.toolbox.com/blogs/insidecrm/winning-the-clean-data-battle-78542

Nowadays, CRM is surrounding marketing, customer service, business intelligence and several other functions. Some CRM systems can also be transformed into enterprise resource planning solutions with the use of apps and third-party add-ons. CRM has come a long way and now can include artificial intelligence, automation, data enrichment through aggregation of contact information from other sources. This article explores some tips for getting more from CRM. They are:

1.       Automate processes and data entry

2.       Clear the clutter of unnecessary data fields

3.       Integrate customer behavior

4.       Use activity management within the CRM

5.       Revisit integrations frequently

6.       Implement automation

Read more at: http://it.toolbox.com/blogs/insidecrm/6-tips-for-getting-the-most-from-your-crm-78266

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 

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/

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

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:

Research has estimated a loss of about 6 - 7.5 million jobs in the US within the next 10 years due to automation. The worst hit will be the retail sector where the sales division is most likely to get automated. Women working mostly as cashiers are the most vulnerable. 'Stock shelves' and 'inventory control' will be made easy by robots. With increasing wages in the retail sector and stiff competition from e-stores like Amazon, automation is beneficial from the producer's point of view but the idea is devastating for employability in the retail sector. Read more at: http://money.cnn.com/2017/05/19/technology/future/retail-job-robots/index.html

Everyone wants to achieve highest connections in outbound dialing. Predictive dialers allow continuous connections. Tips to get most out of these are: beginning should be with a right list because it lays a foundations and there should be a connection between CRM and contact center, investment in automation is necessary like predictive dialing which minimizes downtimes, eliminates errors, etc. , rules and regulations should be highly adhered to, in order to avoid fines and litigations, outbound solutions keeps callers connected by giving a menu of telephone numbers to choose from and helps establishing a natural connection. Lastly, put inbound to work for outbound, all components of contact center must work in harmony. Outbond dialing solutions help in making quality connections, maximizing agent’s performance, improving customer satisfaction, etc. Read more at: http://www.incontact.com/blog/5-tips-for-a-better-outbound-dialing-strategy/

In the digital era where an individual is afraid of losing jobs not to recession, but two robots and machine learning, it becomes important for us to learn about the extent to which machines can replace human beings. In the near future where automation might delete few occupations entirely, it is expected to affect almost all occupations to some degree. Knowledge about technical feasibility is a prerequisite for automation of the activity. The second major factor that is always the reason for concern is cost. The cost of developing such automation system needs to be taken care of. Physical activities are most susceptible to automation. The retail industry is another place where automation would do wonders. However, financial sector lies in the middle range of automation. People managing and developing things can still relax a bit as automation in this field has very low technical potential. The focus should be on automating sectors with high technical feasibility and replacement of workers from these sectors to opportunities where automation is yet to do wonders. Read more at: http://www.mckinsey.com/business-functions/business-technology/our-insights/where-machines-could-replace-humans-and-where-they-cant-yet

All new on-line communication that both consumers and retailers access on a regular basis is creating even more data for retailers to store. It is time to extract valuable information from all the existing data in order to meet customer demands, increase sales and improve business performance.

In the simple terms, predictive analytic is a technique that is used for forecasting. It uses past data like how many products were sold and at what rate? Predictive Analysis is a big help in the retail industry. It doesn't mean that the whole process has to work on automation. Human decision making (sometimes gut feeling or intuition) and software like Predictive Analytic would give even better results. Some constraints in adapting this type of analytics is that decision power is transferred to a machine. This is always a difficulty because downsizing or resistance can also be a result. Analytics work on big data; which is difficult, expensive and can fluctuate.

To read more:http://www.in.techradar.com/news/world-of-tech/What-is-predictive-analytics-ndash-and-should-we-fear-it/articleshow/51945739.cms

Chemical industry deals with lots of data sets. Some of these data are relevant to product development and the rest of them mostly helps to identify external parameters governing the production process. Generally, big data help to facilitate cost cutting issues. It brings a new product to the market and improves industry environment. Intellectual sensors are integrated with the research and material related informatics. This process minimizes the time required for new innovation. Sensitive sensors can also help to predict the upcoming situation by measuring current situations. Big data works in the back end. This ensures worker's safety by analyzing the toxic level, heart rate, etc. Intelligent sensors diagnose the past chemical data and all possible combinations to predict the new combination. It smoothens the R&D process. Therefore, automation, safety guide and intelligent forecasting are the key mantra for success in the chemical industry.

 To read, follow:  https://www.environmentalleader.com/2016/02/23/how-big-data-is-changing-chemical-manufacturing/ 

Customer Relation Management is a combination of technology and collection of database of sales contact. This combination can be positively used to make a marketing strategy. This can be used to create awareness among the different departments of the organization, regarding the important actions that a customer has taken. Automated alerts can be sent notifying the important actions relevant to a team. Consistent messaging is required at times to stay in touch with the customer. This can be either with regard to feedback. Thus helping in getting insights of the customer. These practices help in understanding your customers in a better way. This improves your customer loyalty, hence resulting to improved engagement. Read more in the article written by Bruce Swann (Senior Product Marketing Manager for Adobe Campaign) at: http://blogs.adobe.com/digitalmarketing/digital-marketing/5-ways-crm-data-benefits-your-marketing-strategy/