A rare hereditary disease is difficult to diagnose. Sufferers have to go through innumerable tests,that take up valuable time of doctors and patients alike with still no definitive result. This additional time delays therapy that could actually be directed to forestall damage. Professors from the University Hospital Bonn and a team of researchers had data of 679 patients suffering from 105 different diseases .They trained a neural network model with 30,000 portrait pictures of affected people and demonstrated how artificial intelligence can be used to perform efficient and reliable facial analysis in cases where the facial structure does show mutations when afflicted with a rare disease. Together with other symptoms and genetic data,it was possible to get accurate diagnosis.

Read more at: https://www.sciencedaily.com/releases/2019/06/190606133805.htm

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/

Nowadays emotional intelligence is changing the way we view sales. It is an effective way of understanding customers’ emotions and analyzing their buying behavior. An emotionally intelligent sales person must possess qualities like managing client relationships, self-awareness and self-management. Convincing the customers to buy products is an important task. An emotionally intelligent sales person must be able to resolve any issue that might arise. Being aware of how one’s action affect others can help develop a sense of self awareness. A self aware salesperson should know the right time to talk and should be an active listener. To be able to control one’s emotion is an important trait that a salesperson must possess. Emotional intelligence training therefore gives an all new perspective to sales. Read more at: https://www.business2community.com/sales-management/why-emotional-intelligence-training-is-vital-for-sales-02208645

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

In the era of extracting insights from data, Sentiment Analysis is used to compute opinions, sentiments, views, etc. expressed in text format. Text polarity which recognizes sentiment inclination of text as positive or negative, Ranking (numbers in a range) the sentiment of the texts and Aspect based sentiment analysis which identify sentiments towards specific aspects in text are three broad divisions of problems in sentiment analysis. Supervised learning based sentiment analysis first trains and then tests the data. Unsupervised learning based sentiment analysis require sentiment dictionaries which can be created by lexicons or by a corpus based approach. Application of linguistic and statistical methods, training domain adapted models, aiming for aspect based sentiment analysis, identification of biometrics, images and sound as sources of sentiment data, etc. are some useful pieces of information shared in the blog. Contextual understanding, sentiment ambiguity and texts involving sarcasm and comparatives pose serious threats to performance of sentiment analysis system. 

Read more at: https://medium.com/seek-blog/your-guide-to-sentiment-analysis-344d43d225a7

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/

AI is redefining the way oncologists look at cancer treatments.Deep learning has proven useful in understanding the trajectory of tumors in the distinctive case of cancers . According to two doctors,AI is making its mark in the healthcare industry.CNN(convoluted neural networks) have been trained to recognize and categorize cancers.CNN is used to diagnose tumor volume and segment tumor with higher precision. They have an advantage over semi-automatic methods,because the former can independently identify common features. Studying and interpretation of sample slides are slow and unreliable. DNN can be used to quicken the process and give robust results.A deep learning model teaches itself and becomes more accurate as it studies clinical data so it can predefine the form that a tumor will take.AI in healthcare has revolutionized diagnostic methods that aid better treatment.

Read more at: https://www.aiin.healthcare/topics/research/5-ways-ai-being-used-advance-cancer-research

In the words of Favio Vazquez, “Data Science is not just knowing some programming languages,math,statistics and having domain knowledge.’’Data science enables a person to evaluate the data and predict the present and future of the world. The solution to the optimization problems must add value to the business or organization. Mastering the craft is what it takes to be a successful data scientist. Having a good knowledge of statistics or math is never enough; practicing hard so that one can apply the tools to solve real business problem is the key. Interpretation is an important part of data science. Through modeling, we can decode the complex data and transform it into something useful and simple. Finally questioning and analyzing our understanding make us better learners.  Read more at: https://medium.com/swlh/the-3-biggest-mistakes-on-learning-data-science-f782e1a8abec

Apart from breaking the internet and keeping people entertained, memes play an important role in social media marketing. Correct memes make businesses socially relevant. However before using memes one must become familiar with it and know the proper use. Misusing a meme can have an exact opposite impact on the business. Identifying the target audience is another important factor. It is futile to use those memes that customers cannot relate to.  Memes should be used sparingly- they should help enhance the content of the company on social media.Creating original memes instead of sharing the popular ones can help promote the brand more effectively. Hence memes can be a great idea for social media marketing if used in the right way. Making audiences laugh and keeping them satisfied can help build customers’ trust on the brand and hence the company.Read more at: https://www.business2community.com/social-media/how-to-use-memes-in-your-social-media-marketing-02208299

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

    Considering how stubborn established companies are with their business operations, introducing Machine Learning which will bring a difference in business environments and in how people work, is extremely difficult. Data Science, AI and Machine Learning are different concepts where Machine Learning helps the other two prosper. It is a means of programming an algorithm wherein businesses feed in examples of real data. According to Maxim Scherbak, the author of this article, the new task for ML-driven organizations is preparing data for Machine Learning models. This implies that it will make Business Analysts different rather than making them redundant. For successful implementation of Machine Learning algorithms (which are mostly viewed as black boxes) they need to be backed by thorough testing. Leaving rule based approaches behind, businesses need to learn to trust these algorithms to shine in the era of AI. 

Read more at: https://towardsdatascience.com/when-business-analytics-meets-machine-learning-10ecaada9d8

A/B testing (also known as Split testing or bucket testing) is mostly used by websites and mobile apps as an effective data based method to test and compare alternatives wherein one variant’s significantly better performance proves its efficacy and suggests its implementation. To run A/B test, after deciding the objective, the variants of the landing page are to be determined, where the variations should differ only in the element that is to be tested. The test, then needs to be performed to compare how the users respond to the variations followed by reviewing the results and making changes based on the results. Some of the benefits of A/B testing to mobile developers are higher conversion rates, analysis of engagement metrics, decision making based on data and statistics, ability to view app store experience from user’s point of view, better use of resources, insights into customer behavior, etc. Ultimately A/B testing makes businesses improve if they run multiple experiments and understand their users’ behavior.  

Read More at: https://splitmetrics.com/resources/what-is-ab-testing-and-why-it-matters-for-mobile-developers/

A revolution is being brought up in the organizations for process improvement with lean thinking. Lean principles stress on continuous improvement, respect for people and utmost care of customer. A Lean management offers guidance and ensures optimization of the entire organizational system for value delivery. A shift in the mindset of the management principle from a supervisor to a coach, whose prime motto is to reach the goal (maximizing delivery of value to the customer) keeping the Lean principles in mind, encourages employees to work on their skill set, put forth smart opinions for sustainable and competitive growth and make successful leaders for the organization who would carry forward the legacy. The main requirements for making lean leadership work is the presence of trust and transparency. Hence, recognition of team members, putting emphasis on culture and abiding by principles can increase success of the organization several folds, both now and in future. Read more at: http://www.aleanjourney.com/2019/06/lean-quote-enhance-learning-by-doing.html

Last fifty years have seen great advancements in the medical field but along with it came hand in hand the errors in interpretation of medical scan reports, with 2% false positive rates and 25% false negative rates. AI, however, has come forth for rescue. While there have been arguments that deep learning would replace radiologists soon now, it is nothing more than a myth. With deep learning, the doctors would be able to detect the problems quickly and operate accordingly. One example is Zebra Medical Vision which has helped doctors for five years now in making the right decisions by developing deep learning algorithms for interpretation of medical images and working with data. It will help automate every visual aspect of medicine, help doctors by giving them a second opinion and also provide assistance and augmentation in case of lack of any skill. With such feedbacks, the probability of correct diagnosis increases many folds. The augmentation of Artificial Intelligence in the medical fields will be revolutionary. Read more at: https://www.forbes.com/sites/gilpress/2019/04/22/ai-startup-zebra-medical-vision-enlists-deep-learning-to-save-lives/#68aa9baa1035

With the advancement of technology, the advancement in the hacking sector has also taken place. All types of data are being hacked and misused. To solve this problem, biometrics have come into the play. Smart phones already have finger print and face and voice recognition facilities. These features will now come in the financial sector which would disable hacking or duplication (as can be done with ids and passwords) and hence keeps the data safe. The recent big problem of hacking of the ATMs can be curbed using the biometric technology. Beyond physical characteristics, behavioral biometrics can also track how a consumer swipes a mobile screen or uses a keyboard and recognize fraudulent activities. However, the institutions are not that flexible in terms of adopting the new technology due to coordination problems. The customers, on the other hand, are keen to use this new technology which keeps them safe. Read more at: https://finance.toolbox.com/article/biometrics-play-growing-role-in-security-and-convenience-for-financial-services

A new study has discovered ecommerce marketing insights about the current state of online shopping and how marketers need to adapt to the latest trends. These key findings from this report revealed that customers want guidance. They also want guidance regarding shipping matters. This report also found about that content is important, marketplace dominates and son. Read more at: 

https://www.business2community.com/ecommerce/ecommerce-marketing-trends-in-2019-02204048

These days people find ways to use coupons were ever is possible especially on online delivery through food apps, buying any products through eCommerce apps etc. Its one of the best strategy used by any companies these days. By using coupons the consumer have a mental satisfaction that they receive cheap products and this lead to the loyalty towards the company. As today's time is a technology time so to avail coupons is very easy especially through your mobile phones, anyone any where can use it. Companies find various ways to attract them with their new offers, advertising through shows, banner ads on bill boards etc which leads to increase of sale.

Read more at : https://www.business2community.com/marketing/6-ways-to-improve-your-coupon-marketing-strategy-and-increase-sales-02192134

Branding is always will be the most crucial part of any business. These days everyone emphasis on the branding and how it should be different from their competitors. People are now hiring employees who have deep understanding about the market scenario, understanding their products, ideas, goals and values. But a brand becomes successful when the company has its own values, mission, vision, have motivated employees and open to ideas.

Read more at :  https://www.business2community.com/branding/the-importance-of-internal-branding-02192346