The replicas of human behavior, emotions and expressions are resulted as humanoid robots. Technologies and science drop a bombshell together by making the humanoid robots which leaves humans amazed. Organizations are spending on different technologies to create a perfect robot which is capable to survive in between humans and can work. Here are some closer achieving robots to the target of matching the human capabilities. 

1. Sophia

2. Junku Chihira

3. Erica

4. Geminoid DC

5. Nadine

6. Jia Jia

For detailed information about these robots visit:

https://www.analyticsinsight.net/the-coolest-humanoid-robots-you-have-to-see-to-believe/

AI is in the way of setting its roots in every company. AI got its mass recognition and acceptance when different startups initiated its deployment in their businesses. Different sensors, reliable networks and intelligent analytics have enhanced IoT in a fantastic manner. Recently, Government of India announced a 13-digit mobile number that power IoT to GSM. And the ministry of electronics and IT are going to implement more such functional devices. Blockchains are somehow associated with cryptocurrency and that’s the reason companies are using a it for fraud control and patent tracking.  But, financial services along with banks and insurers are trying with blockchain technology to develop a useful common customer repository. 

For more details go to:

https://www.analyticsinsight.net/demystifying-the-power-of-ai-iot-blockchain/

It’s a difficult approach when it comes to the adoption of analytics facing real time challenges. It’s tough to analyze big data and assemble it in a single row. There are times when the minutes and seconds count are very crucial and no delays can be accepted. With the demand of more precision and accuracy we just cannot avoid the risk presence while accessing the data. But real time analytics demand much of our efforts and hard work to overcome the challenges and get that precision.  

For more details, visit: 

https://www.analyticsinsight.net/planning-to-embrace-big-data-here-are-real-time-challenges-you-might-face/

We are aware of stepping up standards of AI and its importance for data scientists. But, we cannot resist AI to limit its scope till technology only. With the advances, AI is setting its root in business organizations too. AI as a business tool comes up with many advantages to expand data access.

For more information, visit:

https://www.analyticsinsight.net/not-just-for-the-data-scientists-the-need-to-expand-data-access-across-the-organization/

Kevin Robinson, vice president of marketing for WiFi Allaince announced in the beginning of the year about the latest WiFi protocol i.e. WPA3. Now this protocol is finally out in the market in the latest products offering a new level of security – authentication and encryption- for both personal and enterprise. Although, WPA2 is still a mandatory protocol for the devices that connect over WiFi and WPA3 is optional for now. Some changes brought in WPA3 are simplified configuration, better authentication and increased cryptographic levels. Bruteforce dictionary attacks will now take even more time and the attacker will have to interact with the network every time making any unauthorised access even more difficult.

Read More at https://www.darkreading.com/operations/wpa3-brings-new-authentication-and-encryption-to-wi-fi/d/d-id/1332145

Embedded Analytics helps in improving the revenue figures, user engagement and impart value to software applications by using the reporting and analytical capabilities in businesses. It helps businesses with precise decisions. Business operations coupled with embedded analytics allows for efficient process analysis and improving operations based on real-time situations. Predictive Analysis is the basis for operational decisions and embedded analytics used to make the results of predictive analytics is of the greatest value. People across an organization could use sophisticated analytics output which enables them to question the data. Putting the business intelligence platform inside the application architecture, embedded analytics guide users to choose where in the process the analytics is to be embedded. Integrated with CRM, ERP and financial systems, embedded analytics access core enterprise data and provide accurate information and further helps in reducing the cost. Lying at the roots of a radical revolution, analytics, or embedded analytics to be precise, would help companies accommodate the values to be provided to the end users.

Read More at: https://www.analyticsinsight.net/how-is-embedded-analytics-transforming-organizations-into-smart-enterprises/

Artificial Intelligence has spread to almost all major and minor sectors and has been growing exponentially over the past few years. With the medical breakthrough in 2017 of AI identifying arrhythmia, researchers have developed microscopes for real-time diagnosis of cancer in 2018. It involved remodelling a standard microscope with deep neural networks integrating augmented reality giving a tool what is termed as the Augmented Reality Microscope. In such a microscope, a neural network is integrated for detection of tumor once the biopsy is conducted. Here, the eyepiece plays the role of the eye, AR is the 3-D image captured (which is the Field of View) and the role of the brain is played by the network. The output of the network is in the form of a heatmap which depicts the probability of cancer at each pixel location. The ARM has to its name a number of benefits like low equipment cost, low latency and also keeps pace with semi-continuous movements of the slide thus improving the accuracy of quantitative tissue assessments. With this we are ARM-ed well to fight against the unfortunate and sometimes catastrophic disease called cancer.

Read More at: https://www.analyticsinsight.net/augmented-reality-microscope-to-detect-cancer-cells/

AI has made it completely impeccable, from archaic development to cutting-edge technologies, reaching out to every niche possible, bearing the embryo of a heated competition between China and the US to revolutionize; the two major hubs having AI development in boon. Among the others following in this race include Singapore, Vietnam, Indonesia and Thailand. Vietnam has successfully implemented a crop intelligence system named Sero, that enables farmers to identify sick crops. Once enhanced further, Sero would assist in diagnosis and possible future treatments. An Indonesian telecom operator, Telkomsel, employed only chatbots to deal with clients and answer most of their queries. Sooner or later AI is digging deep roots in the industry although it takes some time for AI developers to present the desired results to the companies.

Read More at: https://www.analyticsinsight.net/asia-accelerates-growth-global-artificial-intelligence-industry/

The ways in which financial enterprises operate today have changed fundamentally due to technological evolutions. Titanic amount of data gathered from individuals’ electronic devices can be analyzed and used by the Fintech sector to deliver reliable services to its clients. Big data have been offering numerous benefits to this industry in areas of fraud detection, customer segmentation, risk management etc. Big data helps financial enterprises understand the transaction pattern of clients and can inform them about suspicious transactions. Big data also partially, if not fully, rules out the potential threats from bad investments and bad payers. Fintech companies aim at creating personalized financial services and big data assists in doing so by meeting the specific demands of the final customers. Big data also leads to better compliance capabilities ultimately translating into better services for both B2C and B2B consumers.

Read More at: https://www.smartdatacollective.com/fintech-big-data-play-role-financial-evolution/

Call centres have started to explore new avenues using predictive analytics which improves their overall effectiveness and streamlines their operations. Traits that best prepare a person as a call centre representative are not clearly evident to officials but predictive analytics has made it possible to identify such traits. Call centres are merging CRM data into predictive analytics models as CRM has played a vital role in most organizations. The approaches used include analyzing variables contributing to customer discontent, building an automated system to transfer calls to representatives with varied expertise etc. Predictive analytics have been transforming industries and benefitting the aging ones by bolstering customer satisfaction and reducing churn rates.

Read More at: https://www.smartdatacollective.com/call-center-analytics-move-industry-21st-century/

With machine learning making a huge leap of progress, it is being debated whether Artificial Intelligence and religion are compatible or not. Humans have been worshipping non-human entities from time immemorial and man-made robots would be superior to their creators. Religious modules have been entwined with technology to bear daily prayer apps and robot priest as the fruits. For example, the human robot named Peppa, an invention of Japan, could perform funeral entailing a cheaper cost than a human priest. Research at Faraday Institute of Science and Technology reported a strong correlation to exist between technology and religion which basically involved three stages-rejection, adoption and adaption. Down the lane, technology would become a ubiquitous part of all religion.  With a more objective analysis, AI provides a consolidated nutshell of all religious dialects.

Read More at: https://www.analyticsinsight.net/are-artificial-intelligence-and-religion-compatible/

We are aware of stepping up standards of AI and its importance for data scientists. But, we cannot resist AI to limit its scope till technology only. With the advances, AI is setting its root in business organizations too. AI as a business tool comes up with many advantages to expand data access.

For more information, visit:

https://www.analyticsinsight.net/not-just-for-the-data-scientists-the-need-to-expand-data-access-across-the-organization/

With the rapid rise of cyber crimes and online scams, people are getting insecure to share their sensitive data online. To encounter this appalling rise big data comes up with certain plans. So, how big data is used as a shield against online threats:

Network vulnerabilities

Detect irregularities

Detect irregularities in online behavior

Detect irregularities in device use

For more information, go to:

https://insidebigdata.com/2018/07/04/predicting-future-online-threats-big-data/

Fast and high-valued data has become an urgent concern for business enterprises. Topaz for Enterprise Data encourages these ignited minds to:

 Understand the data even when they get diverted from the specific application, it also ensures data integrity and the quality of resulting code.

 Fast production of data for testing, training or business analytics that is capable of representing the actual data.

 Ensures security of sensitive business and personal data for relationships and characteristics.

 Easy conversion into required file type.

Topaz users can easily access all these competences from within a familiar Eclipse development environment.

For detailed information about topaz go to:

https://insidebigdata.com/2018/07/07/compuware-announces-topaz-enterprise-data/

Ever heard of Molly, Eva, Ginger, Replika, Florence and Izzy? NO?

So, welcome to the world of algorithm powered, voice based interfaces that has come up fantastic advances in medical and healthcare field. The Chatbots are being used as assist physicians and nurses. Chatbots ensures perfect medication management and assistance in the case of emergency. 

Top health chatbots includes:

i. Safedrugbot

ii. Izzy

iii. Babylon health

iv. Florence

v. Your.MD

vi. Ada health

vii. Sensely

viii. Buoy health

ix. Medwhat.com

x. infermedica

For more details, go to:

https://www.analyticsinsight.net/top-health-chatbots-that-have-redefined-interactive-healthcare/

Autism spectrum disorder refers to a condition in which a child is not able to communicate and form relationship with other people. Earlier for the diagnosis of Autism and examiner inspects the child and video record the behavior for further analysis. Legally for diagnosing Autism, the child should be older than 2 years. But with the early diagnosis of autism in children can help them to get out of their shells and face the socio affairs with confidence. A wunderkind algorithm of machine learning is capable of predicting Autism in a 6 month infant. 

Want to know, how this genius study is able to get such results? Go to:

https://www.analyticsinsight.net/artificial-intelligence-machine-learning-can-be-used-to-predict-autism-in-children/

The AI industry is blooming at a very rapid rate. AI has start to appear in almost every sector and industry. But the results of AI may vary depending upon the data fed to it,  the techniques used, the scope of its usage, the expertise level of its users and builders, and the expectations set with that AI. The quality of data fed to the system vastly affects the AI decision making. 

The ERP giants like SAP and Oracle have their roots in the garden for a really long time that it will take at least two years for any new competitor to give them a dent. Also, let’s not forget that the technology is flying at a rapid rate, so two years is really long time for a technology to go outdated. Recently, it has been noticed that these giants are trying to move their on-premises systems to cloud based systems. This is not an easy task to move tons of data without much affecting the pricing and retaining the customers. 

It has been more than a year since the biggest and the most comprehensive indirect tax reform, Goods and Service Tax (GST) has come into effect in India from 1 July 2017. This phenomenal task of shifting to the new digital regime of taxation is aimed at streamlining and consolidating indirect taxes in order to unify the market. This transition accounts for changes in all areas of business, tax rates and tax payment schedule, logistics, delivery, marketing and sales and so on. In this context let’s look at the few ways by which organizations can make the best use of GST.

·         Understanding and assessing the impact of GST on each aspect of the business.

·         Taking advantage of the integrated and unified system of taxes to streamline operations and rationalize prices.

·         By taking advantage of the single registration and seamless tax-credit flow mechanism, businesses can expand to other states/parts of the country.

·         Reaping out the benefits from increased at par competitiveness under unified GST which has replaced multiple tax systems levied by different authorities.

·         Increasing profit margins and reducing operational costs by ensuring all expenses where ITC can be claimed.

       Read more at: https://www.entrepreneur.com/article/308667

Advanced technology has certainly come a long way in managing our lives and guiding our buying processes. When it comes to beauty industry, applications of artificial intelligence are giving brands the power to create an intelligent, sophisticated and authentic ‘robot’ which would enable the customers to find a product that not only feels good on their skin but also doesn’t cost them much. These chatbots will improve a particular company’s customer service and overall customer experience. They can be trained to answer specific questions and give the customers a personalized experience according to their skin type, needs and price range, and certainly reduce all the hurdles that customers have to face when trying to buy products online. Innovative beauty brands, with the help of augmented reality have shown their customers how easy it can be by asking the right questions, showing them the results and even incorporating suggestions into their bots. With the advancements cropping in more, chatbots will no longer be required to be trained by the employees and would become more intelligent from the information they will learn gradually.

Read more at: https://www.clickatell.com/articles/customer-relationship-management/chatbots-customer-experience-beauty/