Google maps new features not only includes the updates of traffic, but also how crowded the public transport will be. Google has been asking people to fill up forms wherein they are asked about their departure time and number of seats available. This data helped the Google maps in predicting the peak time and the most populated stops. Similar study has been done about predicting the crowds at restaurants. Also, delays in bus and their expected time of arrival is notified by the Google maps, which are available on both Windows and iOS for almost 200 cities. Read more at https://techcrunch.com/2019/06/27/google-maps-can-now-predict-how-crowded-your-bus-or-train-will-be/

Walmart acquired Flipkart is one of the two biggest e-commerce platforms in India with eight million shipments per month on an average. With ever increasing speed of people coming online each day, Walmart new Automated Guided Vehicles (AGVs) will help in meeting these demands faster. This pilot project of sortation will be applied at Flipkart’s Soukya sortation center in Bangalore, where the 100 self-guided robots will sort the packages according to the delivery pin codes. While these AVGs are expected to increase efficiency by 60%, i.e. 4500 shipments in an hour, the easy mobility of the AVGs will always help Flipkart in expansion of supply chain operations. However, according to Jeff Bezos, AVGs won’t take away employment opportunities but only increase efficiency. Read more at https://www.businessinsider.in/flipkart-announces-delivery-robots-automation/articleshow/68493938.cms

The field of AI is largely unexplored and we have only scratched the surface of what AI is really capable of.Understand the AI types will allow us to gain perspective on its capabilities and impacts in future.The degree to which an AI system can imitate human performance is used as a criterion for determining the type of AI.Based on this, AI is classified into two types-One type is based on classifying AI enabled machines based on their resemblance to the human mind , ability to think and feel.According to this system,the four types of AI are-reactive machines,limited theory machines,theory of mind and self aware AI.The second type of AI classification usually used in tech has three categories- Artificial Narrow Intelligence(ANI),Artificial General Intelligence (AGI), and Artificial Superintelligence (ASI). Read more at: https://cognitiveworld.com/articles/7-types-artificial-intelligence

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/

Big businesses have huge repositories of data.Each company is in the race to draw more value from this data so that they are not competed out.Data is unorganized,metadata initiatives have been falling and unearthing and extraction of data has become more difficult. Data protection regulations have exacerbated the problems.Lack of data management, renders data inefficient. IO Tahoe has published on Data Catalogs-a metadata management tool as a solution to this problem. The speed of AI coupled with human learning will help companies to overcome challenges of data management.There are several kinds of data catalogues and this report is a guide on which will be best for your company.

Read more at: https://insidebigdata.com/2019/06/18/ai-driven-data-catalogs-right-business/

The most powerful algorithms extensively used in the field of deep learning are neural networks. Here we focus on the artificial neural networks which are nothing but the computing system based on the structure of human brain. It is a type of machine learning which is used for detecting patterns in unstructured data. A lot of business applications today depend on neural networks to solve various complicated problems. However companies use neural networks in various ways. For instance, as explained by LinkedIn’s Deepak Agarwal, neural networks are used in LinkedIn along with text classifiers to detect spams. Neural networks are widely used in activities like marketing, finance, operations management, insurance etc. Thus the capabilities of artificial neural networks are inexhaustible. Read more at: https://www.cmswire.com/digital-experience/what-is-a-neural-network-and-how-are-businesses-using-it/

Contrary to the common belief that Big Data and green business have little intersection, the former provides an array of solutions to sustainability issues faced by businesses. Benefits of big data can alleviate threats of climate change in future. According to Annie Qureshi, the author of the original blog, following the IPCC report on climate change in October 2018, businesses are expected to shift their investments to green tech companies from fossil fuel resources. Prospective investors can be attracted if local investors focus on big data and predict to yield high return for investors or by launching social media campaigns. As more and more companies are meeting UN sustainability goals, big data is making the world greener. Hence investing in big data should help green companies flourish.

Read more at: https://www.smartdatacollective.com/how-to-use-data-analytics-to-launch-sustainable-technology-business/

In 2014,NASA had lost an instrument located on the Solar Dynamics Observatory that measured UV rays coming from the sun,to forecast solar storms and to alleviate their affects. This is when scientists and engineers turned to artificial intelligence,with the thought that well-trained data can fill the data void. Four years of data captured by space instruments that included images of the sun were used to design processes.Using the best software tools to test these models,the scientists concluded that CNN is a good fit for the data giving 97.5% accuracy. Superior images of the sun generated were used to predict UV measurements.Our question stands at- if AI can be used to fill data gaps,can it forecast UV spectra as well and can it address a wider spectrum of problems?

Read more at: https://www.aitrends.com/neural-networks/how-ai-came-to-the-rescue-of-scientists-studying-the-sun/

Big Data gained popularity during mid-1990s. But what exactly ‘’Big Data’’ means? It generally refers to the voluminous data, which the conventional data processing system is unable to process. It is widely used because of its advanced fraud detection and prevention techniques. The severity of frauds in credit card industry, insurance fraud and email based frauds are not new. Using big data to understand the card usage pattern of every customer, building specific fraud detection models, analyzing the geographical location of a person, can help companies prevent fraud. Pattern analysis with the help of big data helps banking sector detect fraud beforehand. Big Data helps prevent Medicare fraud  within minutes! Thus Big Data helps companies perform tasks on a much broader scale than a human being can actually do. Read more at: https://channels.theinnovationenterprise.com/articles/how-big-data-is-being-used-to-improve-fraud-detection

In the modern era, with almost all industrial sector adopting new technologies, healthcare sector is no exception. Artificial Intelligence has changed the way in which we seek medical care.The use of artificial intelligence in medicine has reduced manual tasks and increased efficiency and patient care. With robots already assisting in various surgeries, few other AI systems used in medical sectors are WOEBOT,DA VINCI, PARO etc. As of now, there is always a high skilled surgeon in total control of the robots. It is believed that we have to still go a long way before robots have the sensitivity to perform surgeries on their own. They lack the common sense and the experience that humans possess. Thus a balance between human and machine is required. Read more at: https://community.nasscom.in/communities/iot-ai/artificial-intelligence-in-the-healthcare-sector.html

With the advent of technology and analytics playing a major role,data storage has become of paramount importance.Just like every object in this universe occupies area,so does data. It just occupies space in the virtual paradigm. But there are problems with curating a data storage space. A well organized ,cost-effective long term data storage solution is what every company needs .High tech storage servers are required that absorb much of office space. It would mean spending on construction,on equipments and paying those who manage data. One can use cloud storage that takes advantage of other companies' infrastructure i.e. outsourcing data storage and maintaining responsibilities but this again would imply taking a risk with security. Storage space should be flexible so that it can be expanded in accordance with one's needs. Data should be accessible from different UIs and compatible with APIs.However, exposure to electromagnetic strips and waves may corrupt data.Data storage becomes futile,then. There are several problems with data storage that are yet be acknowledged and overcome.

Read more at: https://www.smartdatacollective.com/7-biggest-problems-data-storage-overcome/

A large number of tables with thousands of rows and columns. Data keeps flowing in from multiple live sources and is rapidly changing . This is what characterizes Big Data. Datasets are becoming vast and hence more complex for analysis. Without the correct tools,it would be difficult to use this data to draw insights. In this regard,three trends have come to the forefront- IoT,querying techniques and cloud computing.The advent of IoT has digitised everything. There are sensors and wires that chanel data which is then manipulated and analyzed to get results.Querying data i.e. extracting information from data is the first step before analysis and Cloud has come to play a major role in data storage. The three trends connected have paved a path for growth in technology.

Read more at: https://www.sisense.com/blog/waking-up-the-world-of-big-data/

With Google describing it as “Intelligence exhibited by machines’’, Artificial Intelligence (AI) is the ability of a machine to think and learn smartly like humans. With its extensive use in business, industries, healthcare, it has become an indispensable part of our lives, making it fun and easy. With the world pacing rapidly, can we think of day in our lives without a Google assistant or a Siri or an Amazon Alexa? AI has the potential of bringing about changes and development that is beyond human imagination. However it remains highly doubtful if AI can solve issues like poverty and epidemics. AI can be a potential job destroyer boosting unemployment and inequality. Having said that, we should remember that nothing can beat human understanding and problem solving skills. Afterall we live in a world where relationship is the priority. By keeping us updated and gaining the necessary knowledge we can definitely survive in a world of transformational change! Read more at: https://www.business2community.com/strategy/artificial-intelligence-disruption-or-opportunity-02175867

Everything is in the cloud, but there are many challenges. So, with knowledge and a bit of planning, your company can avoid many of the challenges associated with migrating to a hybrid cloud solution. It is important that you research your cloud partner thoroughly to verify that that provider takes all the necessary steps to ensure security for its clients. Read more at: 

https://it.toolbox.com/blogs/carmashoemaker/overcoming-the-challenges-of-hybrid-clouds-040919

Nowadays, everyone is talking about artificial intelligence. The expected potential of AI technology is based on increasing the availability and usefulness of expert knowledge. It is this potential which will affect many diverse areas like education, commerce, government, medicine, and manufacturing. It is a fact that one of the most important results of work on artificial intelligence has been a refinement of techniques for obtaining and structuring the knowledge of experts. Read more at: 

https://it.toolbox.com/blogs/craigborysowich/the-basis-for-the-potential-in-artificial-intelligence-032519

We all know that Internet of Things or IoT can monitor and measure data in real time. These data in return offers valuable insight to help save time, energy, and money. But, do you how are IoT data collected, processed, and analysed? Data are collected from security systems, smart appliances, smart TVs, and wearable health meters. Data are also collected from commercial devices including commercial security systems, traffic monitoring devices, and weather tracking systems. Read more at: 

https://it.toolbox.com/blogs/carmashoemaker/iot-data-how-to-collect-process-and-analyze-them-032619

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

Nowadays, work environment needs flexible, effective, and dependable technology that allows employees to do their jobs, particularly in distribution and retail industries. But, with access to mobile apps that connect employees to a real-time look into inventory and orders, distributors and retailers are able to fulfill the need of every customer. Mobile apps can now connect employees to real-time business data, operations, and analytics and hence organizations can better forecast inventory need and deliver on increasing customer demand. Read more at: 

https://www.business2community.com/business-innovation/work-place-optimization-through-mobile-technology-02169425