✨ | Futuristic Car

Machine Learning with TensorFlow ☞ http://bit.ly/2qGo0MA

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Apac Biotech Startups News and Updates

Check out Biotech Startups in Apac with accelerating technology updates across BioTech Startups

The emergence of drone technology has equipped emergency management organizations with robust capabilities that will enable them to cater more closely to the society. It has helped them to enhance their crisis management strategies and facilitate the optimization of resources. Although drones have received mixed reviews, especially in terms of privacy, their benefits during emergencies are unquestionable.

Drones can access environments that are difficult for relief workers, thus assisting in recovery efforts. Its benefits range from limited to escalated disasters, including floods, earthquakes, nuclear accidents, forest fires, and so on. Drones can be used for early detection, especially in the case of chemical accidents, where it is difficult for humans to carry out relief actions.

Nuclear and chemical accidents often lead to the release of toxic substances into the atmosphere. Chemical, biological, radiological, nuclear, and explosive events lead to unsafe conditions for human beings. Evens In such circumstances, drones can assist in undertaking swift and effective countermeasures.

During earthquakes, drones can be deployed to monitor the extent of damage and prioritize the areas. They can be equipped with robust sensors to measure radiation, thus enabling the agencies to minimize fallout exposure for the relief workers. The drones can be used to assess the structural damage, especially buildings on the verge of collapsing. They are also useful in hard to reach areas such as tunnels and bridges.

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Adopt These Five Effective Solutions to Overcome IoT Security Challenges

Internet of Things (IoT) is the trending technology nowadays, and it is gearing up fast to connect any hardware devices to the smart devices.  The increasing threat to Internet of Things has led to an urge to find practical solutions which may address this issue and reduce the rate at which cyber actors are attacking IoT devices.

Here are Five solutions that can be adapted to increase the security of IoT devices: https://goo.gl/X8tZDy

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Do Check this out: Greenfield Development: The View from a Renewable Energy Startup

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Solar Energy Could Grow 6,500% by 2050 - Solar and wind power together are projected to provide two-thirds of all electricity in 2050. https://ift.tt/2Px7tFp

Drones today are not just limited to military surveillance or tech-savvy customers. There have been several advancements in drone technology over the last few years, and with each advancement, drone technology continues to improve in itself.

#Repost @innovation_freek with @get_repost ・・・ Bottle flipping has been turned into a robot competition in Japan and it looks so good! 😂 (yt//ROBOCON) #robots #robot #robotics #technology #scifi #o #diy #cobots #electronics #artificialintelligence #tech #arduino #starwars #engineering #maker #art #d #follow #engineer #science #ai #coder #pcb #anime #blutooth #sciencefiction #education #stem #microcontroller #innovation (at Busan, South Korea) https://www.instagram.com/p/BqlJ_SJH-Zb/?utm_source=ig_tumblr_share&igshid=p0alhc1yibuc

The Stepping Stones for Decision Analysis and Optimization

While data analytics do help garner deep insights for smarter decision-making, the insights required varies based on the technology and the analysis approach and procedures used.

 Businesses need to ensure that they have a business intelligence architecture or data warehouse that offers a convenient and multi-faceted analytical ecosystem optimized for effective analysis of diverse datasets.

Descriptive Analytics

Descriptive analysis is all about using the past performance, understanding its nature by mining the historical data to analyze the reason for a previously occurred success or failure. Descriptive models enable businesses to classify the prospects or parameters by consolidating relationships in data.

Diagnostic Analytics

An advanced level of analytics, diagnostic analysis, dissects the data to answer the reason behind a specific event. Methods used to characterize the data include data discovery, mining, drill down, and  Read More

Source: APAC Business Intelligence