Intent data is used to demonstrate when the prospect exhibit propensity to buy. To understand the traits and interests of the audience a target market profile is created. B2B external intent data help customers by identifying which accounts are showing surging interest surrounding a particular topic and eliminates the guesswork. Surge data, combined with intent data, creates a powerful synergy. A direct correlation between buyer's motives and content sets the stage for a huge competitive advantage. To leverage the collection of intent data and create better content, correlate it with other demographic, firmographic and geographic data. Intent data target all range of buyers across an organization to tailor content specifically. It gives a lead to present solution and content to prospects with a more precise customer profile match. Leverage intent data in your content marketing and syndication to increase your chances of becoming an industry leader. Read more at : http://www.business2community.com/big-data/reach-buyers-matter-intent-data-01851493#c1wCfiKqJe40gyZt.97

Apps are expected to produce $77 billion in revenue for business this year. Out of available 2.8 million apps, only a fraction is ever used. It means that the only cool idea is not enough for an app to be wanted by people, the app should add worth to users and be regular with the usefulness that the brand provides. Three steps can be taken to ensure that the subscription adds value and align with your business goals. First is to link up with values by defining the core values one provides as a company. Second is to exploit the tools like tap into features and functionality that mobile delivers to help push core value out into the world. And lastly by using mobile to supplement the brand's value, i.e. design the app around addressing a specific customer pain point that the speed and ease of mobile can help remove. Read more at: https://www.entrepreneur.com/article/295511

The idea of gradually exposing more people to the benefits of riding around in self-driving taxis and other vehicles seems to be the guiding philosophy for a number of companies such as ride-hailing giant Uber, MIT startup NuTonomy, and the company Waymo spun out of Google's former self-driving car project.

Top concerns mentioned in social media included self-driving car fears of being hacked and "robot apocalypse" scenarios of technological change.

About 6,000 social posts focused on the positive side of self-driving cars as a "technological revolution that harnesses big data and machine learning."

 Another 7,000 social posts discussed self-driving cars as a possible solution to traffic jams and highway congestion even as they also featured angry venting. Read more at : 

http://blogs.discovermagazine.com/lovesick-cyborg/2017/05/30/hacking-and-doomsday-top-self-driving-car-fears-online/#.WT4agxOGO8U

Automobiles are becoming highly advanced with the high-performance engines and technologies. Telematics provides the information about the performance of both vehicles and drivers. This automotive technology along with Internet of Things (IoT) is creating favorable impact on the car industry and its related industries like insurance, transportation and logistics service-based companies with fleets and infrastructure. The concept of autonomous vehicle has been there for ages, but with the application of AI it has gained new life. AI can act as an assistant to the human driver providing them a safe driving and with the help of biometric it adds a new level to the car security. Information asymmetry is the main problem in the insurance industries, but with predictive analytics using the available data this problem can be solved. The AI creates a win-win situation for both the user and provider. Read more at: https://www.forbes.com/sites/brianrashid/2017/05/16/how-ai-pioneers-will-affect-the-car-industry-and-why-its-a-good-thing/#7c2fcfde57c2

In the race of becoming a leader in autonomous car, Google and Tesla, compete each other in the near future. Tesla gains a hand over Google as it has already launched semi-autonomous vehicles in the Indian market named model S and model X. And during the time, Google's self-driving car (SDC) has been in the development. Although the target remains the same, i.e. 2020. Both companies use different techniques. Google uses reflected laser, whereas Tesla uses 3D cameras. Google is developing an autonomous vehicle in which there is no control of the driver, but Tesla uses an autopilot feature just like in airplanes so to allow some movement to the pilot.Despite different standpoint, result is much awaited till 2020. Read more at: http://analyticsindiamag.com/tesla-google-autonomous-car-technologies-different/

Technology in the natural resources business is changing the environment for producers of major commodities like oil, coal, iron ore, natural gas, and copper by giving them better opportunities for increasing the production and lowering the cost. Combining robotics, internet-of-things technology, and data analytics with macroeconomic trends and changing consumer behavior will enable the producers to efficiently use the energy. Technology is also helping the consumers to utilize the energy in their homes, offices, and firms more efficient. Development of technology is also helping in reducing the transportation and electricity cost, increasing the safety of the miners, providing advanced forms of grinding and grinding of many metals and accessing the mines and wells which were once unexplored. By using the existing and new technology, the productivity, efficiency can be increased. The extensive use of technology in mining is not an easy process and will take a lot of time but its reward will be very attractive. Read more at: https://hbr.org/2017/06/how-the-natural-resources-business-is-turning-into-a-technology-industry

Nowadays, the big data and analysis are in demand as the political and economic conditions are full of uncertainties. Organizations of Asia Pacific are investing rapidly and heavily in digital labor, cognitive automation or robotics process automation to make them technologically advanced and place them ahead of the rest of the world. According to a CIO Survey, it was found that many technology executives are turning this uncertainty into opportunity and are becoming the driving force in making their organizations nimbler and digitally innovative. Technology leaders are becoming influential, as chief executive officers and boards turn to them for help in navigating through these uncertain times. The global security crisis has increased the demand of technological improvement. Read more at: http://www.todayonline.com/business/big-data-analytics-skills-hot-demand-amid-tech-boom

It is believed that payments enabled by QR code or carried out through NFC-based cards will gain popularity. In India, wearable technology like smartwatch is restricted to fitness purposes and contactless technology in the field of payments has been introduced with the trend of pay using NFC technology. If a debit or credit card is NFC-enabled, one can near a PoS machine that also boasts of the same technology. The debit cards of the NFC-enabled chip cards, requires one to wave and pay with wearable or contactless payments, but security is a big concern. The idea of a card being stolen still exists and the prevention of misuse should be taken into account on priority basis while building these products. Security Concerns such as Remote Access must be addressed. Read more at: https://www.entrepreneur.com/article/295401

Statistics shows that 93% of Road Accidents happens due to the mistake of a driver. Very soon there will be a new breed of cars called ‘connected cars’ because of IoT becoming a Mainstream technology across the world. These cars will be smarter than computer. They will have Innovative business models, cost reduction and competitive edge. Benefits of Telematics and Vehicle diagnostics, Autonomous Infotainment, Safe Driving, Commercial benefits for car Manufacturers, Predictive Maintenance, usage Based Performance can be received. With connected cars, driving around bottlenecks the journey can be a whole new experience. The Future Cars will be intelligent enough to keep drivers drive safe and also to take care of themselves through data analysis. Telematics and sensors will also allow passengers to control the car entertainment console, navigation, climate controls, etc from their Smartphone. Read more at: https://www.entrepreneur.com/article/295399

The internet has now become an important part of our life. Looking at the past, we can see how the internet has developed over the years and made our lives faster and connected. But there are a number of problems that we need to solve for maintaining what we have achieved. Biggest Issues: i) Global Inconsistencies in Internet Availability ii) 30-40 % Annual increase demand for Bandwidth iii) Unexpected Fluctuations in use iv) Cybercriminal Access because it's available to all, so more potential targets v) Overreliance on Major corporations vi) Patchwork Fixes. It requires collaboration from multiple industries and multiple companies, from major internet providers to tech companies and even governmental organizations to make the infrastructural and cultural changes necessary to improve the internet's future.Read more at: http://www.datasciencecentral.com/profiles/blogs/the-6-biggest-internet-problems-we-need-to-solve

The basic premise behind the IoT is to connect everyday objects to the internet through tiny sensors, allowing them to communicate with businesses, consumers, and each other.

While hearing about the Internet of Things doesn’t necessarily signify a consumer would not use an item connected to the IoT, the survey results show a lack of awareness and understanding about what can be gained from it.

The Internet of Things sounds good in principle, giving consumers unparalleled convenience and access to the latest technology, but there is one requirement that can’t be ignored: the internet.

One idea for the Internet of Things is to place sensors on roads, traffic lights, utility grids, and buildings, but doing so represents an expensive venture.

Read more at: https://www.smartdatacollective.com/potential-hurdles-limiting-internet-things/

 IBM announced last week it has moved its cognitive computing system into the cloud to form the Watson Discovery Advisor, allowing researchers, academics and anyone else trying to leverage big data the ability to test programs and hypotheses at speeds never before seen.

"I think there have been a number of ways that we have improved the system since Jeopardy", said John Gordon, vice president of IBM Watson Systems.

IBM has been honing Watson's capabilities over the last three years, reducing its size and upping its power since its famous appearance on "Jeopardy!" in 2011.

"Part of Smarter Cities was working with different municipalities and governments to determine how technology could help them provide better services to their constituents", Gordon said.Read more at: https://www.fedscoop.com/watson-cloud/

Career opportunities in the technology sector are increasing. Technological sector, like any other sector, needs employees in finance, marketing, sales and human resources. In case of a transition in career, an experienced field can be chosen. Knowledge and skill never go to waste. Four career transition tips are mentioned here. 1. Focus on soft skills because no matter what sector you work in, it is a key factor. 2. Use networks to make connections in the sector. 3. Do your homework and gain knowledge in your field. 4. Identify and prepare a narrative of your strengths that will be useful to the sector. Read more at: https://www.forbes.com/sites/davidkwilliams/2017/06/04/making-a-career-transition-to-technology-its-not-rocket-science/#98ef669474c7

The data scientist focuses their efforts on developing analytics solutions that solve a specific and unique business problem. The primary reason for this declining demand, according to the author was that increased automation and operationalization of business processes will not require the technical skills of the data scientist. IT individuals steeped in the more traditional computer science discipline are trained and developed to focus their skills on developing solution that streamline business processes. Creating a technological environment which allows access to data and the potential for increased automation is the role of IT. This kind of scenario is simply going to increase the demand for both data scientists and IT in our Big Data world, regardless of certain opinions on the declining importance of data science. .Read more at: https://www.smartdatacollective.com/demise-data-scientist-heresy-or-fact/

It’s no secret that President Trump prefers tweeting over talking to the public — particularly when nearly everyone else in the country is fast asleep.

Trump’s Twitter archive shows that some of his angriest and most flamboyant accusations are issued early in the morning.

For most people, the middle of the night and the very early morning are not great times to make decisions, to say nothing of making policy pronouncements or political commentary.

At those times, you are likely to be close to so-called REM or dream sleep, which we all know brings about intense and often distorted emotions and thoughts, often about the events in our everyday lives.

These are times for reflection, not for social media.

A bit of unsolicited medical advice for President Trump: For the sake of the nation, stop tweeting and go back to bed.Read more at: https://www.nytimes.com/2017/06/05/opinion/mr-trump-stop-tweeting-sleep-deprivation.html?rref=collection%2Ftimestopic%2FSocial%20Media

With all the talk about predictive machine learning and deep learning applications, one can lose sight of the data engineering, some might call it data art that is needed to prepare the data to work on. Many questions go into the planning for deep learning applications like should the processing be disturbed; how much noise obscures the signal arriving from internet of things devices such as cell phones. In the case of mobile phone sensors, data preparation for deep learning applications can present unique problems, data preparation can involve considerable preprocessing. Insurance and other industries are entering the golden age of sensor data, but the data needs preprocessing because the data initially is very noisy. Given the Data, the algorithms will figure out the right transformations of the data. Read more at: http://searchdatamanagement.techtarget.com/news/450419925/Data-prep-for-deep-learning-applications-means-careful-planning

Is Netflix about to set forth on a cancellation binge? A week after it axed “The Get Down,” its expensive single-season music drama, Netflix announced Thursday that it was canceling its sci-fi drama “Sense8” after two seasons.

After 23 episodes, 16 cities and 13 countries, the story of the Sense8 cluster is coming to an end.

Netflix has poured billions of dollars into original TV shows, and it has only canceled a small fraction of them.

But the company’s chief executive, Reed Hastings, recently suggested this was something they might be prone to do.

“I’m always pushing the content team, We have to take more risk, you have to try more crazy things, because we should have a higher cancel rate overall,” he said Wednesday in an interview with CNBC. Read more at: https://www.nytimes.com/2017/06/01/arts/television/sense8-netflix-canceled.html?rref=collection%2Fsectioncollection%2Ftechnology&_r=0

Salinas Valley in San Francisco is adapting to a new technology in its agriculture. Robots with water knives have come into the picture. With increasing population and an ageing workforce,automation is a necessity to feed the mass. The technology does not aim to replace the farmers, but it works hand in hand for rapid effective production. The firms are modifying their products to cope up with the technology. Soil sensors are used to tackle the crisis of water. The ocean level is rising and with the ever-growing population,automated farming is the only way forward and Salinas Valley will be the pioneer of a revolution that is set to take place around the globe.Read more at: https://www.wired.com/2017/05/robots-agriculture/

The computing power is growing by each day. Technological Singularity describes the transformation that could be noticed because of an intersection between humans, technology, and artificial intelligence. This concept has been modified over the years and has been a subject to research. Theories suggest that technologies will take over the humans. This is an era where human intelligence will become increasingly non-biological. Post singularity improvements are predicted and changes are expected to introduce machine speed and intelligence. Post human literally means humans and technology will become interlinked. In the upcoming years, humans will completely expand the capacity for intelligence of the civilization. Read more at: http://analyticsindiamag.com/technological-singularity-can-achieve/