Artificial Intelligence, Machine Learning and Deep Learning are relatively newer technologies invading the fields of information technology, business etc. Though developers are walking towards this era, currently the number of experts is relatively less. The company often makes mistakes by starting up with the technologies instead of focusing on business needs. They often make mistakes by assigning out of domain work to some. For e.g. Hiring data scientists and asking them to build something interested from given database. Rather than a team must be formed of product managers, data engineers, data scientist and DevOps engineers.A team of four will be a kick start to improve our process and giving better results. Now everybody has an opportunity to improve the models, optimise the deployment and scale the business. 

Talking about ML, many projects fail due to complex structures. This could occur because of working on wrong problem, to having wrong data, failing to build a model or failing to deploy it correctly. Read more at: https://medium.com/@guyernest/the-flywheel-of-machine-learning-systems-50aa6d992382

Internet is a vast place where one could get and post information globally. Many search engines help you to find what you want using different search algorithms. Ever since the first search algorithm was discovered, many new searching algorithms are being invented and used to make searching process easier. However, there are times when text-based searching becomes really exhausting. Take an example of flower. You are very fascinated by a flower you saw in wilds and is very curious to know about it. You start searching about it using it properties like colour of petals, number of petals, description of leaves etc. This would be very tedious and still there is no surety whether you will get results or not. 

Now imagine for searching with the help of picture. You just click a picture and rest will be done for you. This is known as Visual Searching and to achieve that Machine Learning is used. This type of searching can be extensively used in various domains. Initially a large amount of dataset will be required to train your machine. However, by using the concept of neural networks, this could be achieved and used. Read more at: 

Read more about it at https://medium.com/gsi-technology/ml-in-visual-search-part-i-d54cf4f2b509

First question that must be popping in your mind is what is SLAM? SLAM stands for simultaneous localization and mapping. Wherein, a device or robot can create a map in real-time as per its surrounding and position itself within the map. SLAM is a technology which is developing under virtual and augmented reality. SLAM technology requires number of algorithms which can simultaneously localize and the objects.

Why do we need SLAM? What are the applications of using SLAM technology? These questions will be answered here:

https://www.analyticsinsight.net/future-ar-slam-technology-slam/

Under the implementation of data analytics, AI and robotics the concept of “smart airbase” is being discovered by RASF in a treaty with defence science and technology agency (DSTA) for sustaining power for armed forces. This amazing concept includes the drones which are capable of detecting damaged aircrafts. There are such more examples of advances in defence section with the adoption of AI, robotics and data analytics. 

Want to know more about it, visit:

https://www.analyticsinsight.net/singapore-air-force-and-navy-embraces-data-analytics-ai-and-robotics-to-improve-operations/

Digital twin technology is actually the virtual replica of physical devices. This technology can help us in manufacturing, energy, transportation and construction. The complex items like aircraft engines, offshore platforms, trains and turbines can also be constructed and established digitally before being physically developed. These digital twins could also be used to help with maintenance works. Let’s say, technicians can use digital twins for testing. So, how it works? How it gets started? What are its applications?  Why it is important to us?

For more information go to:

https://www.analyticsinsight.net/digital-twin-technology-important-big-data-age/

How the Amazon is able to raise itself as one of the titanic disruptors in retail space? With its warehouses, full of robots is actually enhancing the speed and efficiency of logistics operations. FedEx is also tracing the footsteps of Amazon. The deployment of mobile robots inside FedEx is showing up how customer’s E-commerce habits are improving the retail and logistic sector. Commonly companies are making use of robots as store-service robots, inventory robots and delivery robots.

Robots are actually complimenting the human colleagues’. But the main objective of retail industry is to make profit margins and increase the productivity using robotic automation technology. 

For more information visit:

https://www.analyticsinsight.net/how-worlds-biggest-companies-use-robotics-in-supply-chain/

Seems like android has been around for an extremely long time. The fun fact about android is that android was originally made for digital cameras. Android has transformed and evolved a lot over time. There are a lot of different versions, and every version of Android is a code name, which many people use instead of the version numbers like Android8.0-8.1, Oreo,Android7.0-7.1.2,Nougat:Android6.0-6.0.1,Marshmallow,Android5.0-5.1.1, Lollipop. Each one is named after a dessert or some other form of confection, which is more for fun than anything else. To know more visit at:  https://www.howtogeek.com/345250/whats-the-latest-version-of-android/

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/ 

Data Science is a new field of interest and used in every sector. Whether it is a business, production line or a tech company, each of them wants someone to analyse their data. This would further help them to make decisions. Even though there is so much need of data scientist, still the number of data scientist is low. There are many characteristics that could define a good data scientist. 

Few of them starting with C are: Curious, Careful, Clever, Confident, Creative, Capable, Communicative, Considerate, Candid and Collaborative. 

To know further about these words visit: https://medium.com/@tableaucoach/characteristics-of-a-data-scientist-ten-cs-4e3b185cc7cd

Technological innovation occurring all across the countries has made it easier to crowd source it to provide with better and faster services, funding and navigation. Powered by social media, new tech and web 2.0, Crowd sourcing is a sourcing model by which it engages a ‘crowd’ or group for a common goal — often innovation, problem solving, or efficiency. Being a blend of two words- crowd and outsourcing, there is no doubt that crowd-sourcing is helping various organizations to tap new ideas and solutions in order to encourage deeper consumer engagements, co-creation opportunities and reduced costs. It cuts across various dimensions and enhances all social and business interactions. Not only it is used by private organizations the way they work, hire, research and market but also by Governments to empower people and to enable them to voice their opinions in crucial matters of the country. Crowdsourcing also has the potential to revolutionize the system by touching across various fields such as science and technology and education. 

Read more at https://www.entrepreneur.com/article/307438

The buzzing technology giants, big data, IoT and cloud computing are completely separated disciples. But the union of these technologies is leading us towards an advanced version of our world. According to IDC, “Within the next five years, more than 90 percent of all Internet of Things data will be hosted on service provider platforms as cloud computing reduces the complexity of supporting the Internet of Things ‘data blending’.” Nowadays IT sector is shifting itself from product orientation to information based outcome orientation. The coupling of these technologies is helping our healthcare industry to become smarter, advances in self service analysis, beneficial for industrial IoT, adoption of edge-computing and so on.  

For more info, go to:

https://www.analyticsinsight.net/convergence-of-big-data-iot-and-cloud-computing-for-better-future/

We all are aware of outstanding facilities by Amazon web services in terms of data solutions and cloud computing. Everyday thousands of companies and industries are collecting and accessing terabytes amount of data.  The fabulous features of Amazon’s framework, the manageable & cost-effective databases and the storage facilities, simple and cost effective Amazon’s redshift data warehouse, business intelligence and analytics are actually endorsing big data analytics.

Want to know more how big data is using AWS services, visit:

https://www.analyticsinsight.net/enhancing-aws-platform-with-big-data-solutions/

AI and cloud computing is actually complementing each other. As we know, a typical computer can never hold the large amount of data processing by AI. We need a better alternative, so by combining AI with cloud AI can make use of dispersed hardware on cloud. Though this business companies can analyze and interpret massive amount of digital data. 

The future with the union of AI and cloud will definitely comes up with revolutionary innovations and technologies. Some best innovations can be integrated & server less platforms, the intelligent edge, data analytics and so on.

Interested to know more about the combination AI & cloud, visit:

https://www.analyticsinsight.net/how-ais-inclination-towards-cloud-computing-will-transform-the-domain-in-2018/

The enormous amount of data is increasing day by day. But, unfortunately it is reported that the inability to analyze the current data obstructs the businesses to take advantage of the services.  With the use of OCR (optical character recognition) our collected data makes some sense. OCR depends completely on manual checking. Instead of using OCR we can implement RPA (robotics process automation).

So, how we can use RPA? For more information go to:

https://www.analyticsinsight.net/why-our-rpa-implementations-need-an-ocr-replacement-immediately/

Cloud computing is basically just a way to make use of remote servers on the internet to store, manage and process data. Here are four ways in which cloud can improve as well as lift up the standards of hosting on internet.  

Building digital-first infrastructure: as per the different sizes and needs of industries, cloud is transforming itself. 

Managing data: cloud is working as a helping hand to manage the growing volumes of data.

Artificial intelligence: cloud is helping AI to adapt new platforms.

Anonymous vehicles: A vision of driverless cars, use machine learning and AI deployed on cloud. 

For more information go to:

https://www.forbes.com/sites/joytan/2018/02/25/cloud-computing-is-the-foundation-of-tomorrows-intelligent-world/#7f61fb734073

We all are aware of the elevation in technology due to AI, ML and Robotics. Now lets’ see its impact on in the side of business management.

  Applying AI to a machine makes it capable to mimic human abilities. Nowadays, machines with their highly advanced skills of problem solving, planning, perception etc are able to recruit employees of the company. These machines are firstly being used by recruiters to do their jobs more effectively and efficiently, but also it helps the candidates to find most relevant job as per their qualification and job requirements.   

Want to know more about this? Visit:

https://www.peoplematters.in/article/hr-technology/heres-how-ai-ml-and-robotics-are-shaping-talent-management-18103