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SigmaWay Blog

SigmaWay Blog tries to aggregate original and third party content for the site users. It caters to articles on Process Improvement, Lean Six Sigma, Analytics, Market Intelligence, Training ,IT Services and industries which SigmaWay caters to

How big data can help in customer service domain?

In every enterprise the customer care services are the most essential part because it not satisfies the customers but it also leads to more productivity. To build the customer loyalty and drive your business to heights it’s important to care the customer service domain. Services of new customer care software platform which involves big data has took this domain to a new level.

For more information go to:

https://www.analyticsinsight.net/big-data-in-customer-support-delivering-values/

 

 

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AI based First Forex trading robot

Foreign exchange market is the word which is enough capable to draw attention of many people. Some people treat it as a fast money making technique while some people says it’s a way to enter the gambling world. Foreign exchange market is just a virtual platform which involves trading of different currencies. So what forex trading is? How AI and robotics can be involved in trading? What actually forex robots can do?

Want to know? Visit:

http://bigdata-madesimple.com/ai-driven-forex-trading-robot-first-kind/

 

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How to become a data scientist?

Data science comes with a new era on IT industries. From AI, ML, big datadata analytics and many more data science is proving its importance. With the emerging business plans on big data the requirement and demands of data scientists are also getting higher. Here are the guidelines to the students who want to pursue data science as their career. 

 Education background should relate to computer science.

 Beginning of your career experience and work focus

 Learning opportunities and certification

 Mid-career experience and certification

 Data science expertise and professionalism

For more details, visit:

https://www.analyticsinsight.net/how-to-become-a-data-scientist-the-skills-certifications-and-education-required-for-the-trendy-job/

 

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How AI and ML can contribute towards developing an intelligent cloud?

With reference to the aura spread by artificial intelligence and machine learning every enterprise is making their ideas with the relevance of these two giants. We are aware of the concept of cloud computing that it provides the storage and networking space over the internet which eventually reduces human efforts and cost. This sounds absolutely awesome. But what’s next? Can cloud be developed as “Intelligent Cloud”? Introducing the union of AI, ML and cloud, this will definitely raise the standards of cloud computing in future. The intelligent cloud will have the ability to learn from the enormous amount of data, builds up predictions accordingly and end up analyzing situations. This platform seems to perform tasks with high speed and provides greater efficiency. 

https://www.analyticsinsight.net/developing-intelligent-cloud-with-artificial-intelligence-and-machine-learning/

 

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How Artificial Intelligence is helping in startup plans?

Since last few years many startups has come up with some fantastic ideas which expands the scope of AI all over the world. Indians are also implementing various brilliant ideas of AI in their business startups. Here is the list of top 10 AI based startup plans which are leading the race.

1) Vernacular.ai: build multi-lingual chatbots for businesses

2) Fablulyst: helps all the online shoppers to buy based on their inputs.

3)  Artivatic data labs: helps large businesses and developers to come up with intelligent products and solutions with minimal development time and efforts.

4) Arya.ai: assists people in their daily core tasks

5) TAO automation: provides automated consultation which helps people in further optimization process.

6) Box.ai: build up a product which is capable of solving various analytics problems.

7) AskArvi: smart personal insurance platforms

8) ThirdWatch: E-commerce fraud-prevention platform

9) Embibe : educational startup, uses self-learning algorithm and machine learning

10) Mad Street Den: improve retail experience all over the world.

 

For more information go to:

https://www.analyticsinsight.net/10-hot-indian-artificial-intelligence-startups-to-watch-out-in-2018/

 

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How ActiveOps is securing G-cloud for betterment digital operation management?

ActiveOps is one of the leading providers of digital operation management, but somehow it couldn’t find any place to store G-cloud data with security. But now ActiveOps has come up with G-cloud 10 framework which assures and deliver greater efficiency and productivity by combining software and services.The G-cloud is made up with the ideology that most of the public sector can have the maximum advantages of cloud based automated services with more groundwork and prognostication.

https://www.analyticsinsight.net/activeops-secures-g-cloud-status-first-time-bringing-digital-operations-management-uk-public-sector/

 

 

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Big Data: A goldmine for automotive industry

As per the reports by SNS Telecom & IT, Big Data investment will cross $3.3 Billion by the end of 2018. Real time and historic data is rapidly gaining attraction towards diverse range and various sectors. There are many key findings in the report generated by SNS which ensures the widening scope of Big Data. 

For detailed information, visit:

https://www.analyticsinsight.net/big-data-3-3-billion-opportunity-automotive-industry-says-sns-telecom/

 

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How AI is a blessing to all the organization?

We are aware of the spells by AI in changing the appearance of business process both online as well as offline. AI has replaced many human functions in the industry through automated systems in field of communication and answering phone calls, emails etc. Technology giants such as Microsoft, Google, Amazon are investing their more power, time and money in strengthening their AI sector. So how AI is helping these organizations?

   Want to know, visit: 

https://www.analyticsinsight.net/why-artificial-intelligence-is-a-goldmine-to-an-organisation/

 

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How deep learning is a benefaction for police?

Investigation is crucial part for police because it only helps to catch the real criminal. But after collecting all the evidences and information, the case becomes more difficult to figure out as each information tells a different story. Nowadays when technology is on the peak of its uses, deep learning is giving its contribution by helping police through video footage analysis. Videos gathered from different number of sources are analyzed by a smart software which implements algorithms of deep learning for detection. Want to know, how it works? Visit: 

https://www.analyticsinsight.net/deep-learning-is-a-blessing-to-police-for-investigations/

 

 

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How humanoid robots are prepared to match the capabilities of biological human?

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/

 

 

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Exposing the capabilities of AI, IoT and Blockchain

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/

 

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Real time challenges that needs to be overcome while implementing big data

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/

 

 

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Expanding the scope of data access across the organization

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/

 

 

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Expanding the scope of data access across the organization

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/

 

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How big data is capable of predicting future online threats?

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/

 

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TOPAZ: A worth gem news for enterprise 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/

 

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Making use of Chatbots in healthcare sector

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/

 

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Can AI and ML foresee the problem of Autism in children?

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/

 

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Top 5 languages to learn for ML

The power of machine learning is growing exponentially. Almost no industry domain is remaining untouched with the wonders and powers of machine learning.  Machine learning is just an application of artificial intelligence whose algorithms helps to analyze the historic experience without being explicitly programmed to predict the future affairs. Before jumping into the world of machine learning, it’s important to know which languages are being used to analyze the data and predict the future. Here are those 5 languages which are being using for machine learning: 

1. Python

2. R Programming

3. LISP

4. Prolog

5. javaScript

why and how are these languages being used for machine learning? For detailed information,

https://www.analyticsinsight.net/top-5-machine-learning-programming-languages-you-should-master/

 

 

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Data management over cloud

Although cloud storage has benefited the businesses in intelligence enterprises but still it shouldn’t be trusted blindly. Cloud storage techniques have helped digital data storage and the changes are remarkable.

The 2 challenges that are connected with cloud storage, cloud lock-in and management complexity are:

• Cloud lock-in: Failure to transfer data from one cloud storage facility to other.

• Management complexity: The inability to perform proper management of available storage environments.

Following are the solutions to these problems that may be seen as unsolvable.

1. Gateway device: It behaves as an agent between the on-premise storage and the cloud storage.

2. Hybrid cloud: With the help of hybrid cloud, cloud storage acts as an extension to on-premise data storage.

3. Multicolored controller: It permits the data to be seen at the same time.

For more information go to,

https://www.analyticsinsight.net/how-to-solve-the-challenges-of-data-management-on-cloud/

 

 

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