Driver-less cars are here. But do we have the key things to get it done right? What about the data, Big Data, do we have enough of it? AI isn’t only about software, it is also the integrated hardware that does the job, the right sensors are very much needed to make a car move on its own without a driver. Can the show still go on? Find out at:
https://www.smartdatacollective.com/automated-car-tech-data/
Artificial Intelligence has always been an integral part of the gaming world. When we play a single player game, against computer, who actually is playing against us, it is the artificial intelligence. But the role of AI may extend further, it may be used for mitigating the risk of fraud. They may help in building better relationships with the long-time gaming customer. So, have you ever wondered about the future of AI in gaming industry? Find out at:
https://www.smartdatacollective.com/gaming-platforms-adopt-ai-customer-risk-profiling/
A number of times, users tend to fill in false demographic inputs in different surveys to earn rewards and enjoy premium benefits. But, visual data may change that for these organisations. Facial Recognition can help authenticate those inputs and reduce the rate of response errors in the survey, making it way more valid than before. Read more:
https://www.smartdatacollective.com/big-data-facial-recognition-tools-launch-consumer-research/
Deep Learning, the subset of AI which helps in Image Recognition, Speech Recognition and much more. Now, it may also be useful in analyzing images of the galaxy and help us find out how they were evolving. Recently, a group of researchers, trained a deep learning program using galaxy simulations that helped in analyzing the images of the galaxy from the Hubble Space Telescope. Read more at:
https://www.sciencedaily.com/releases/2018/04/180423125115.htm
Every business is undergoing a digital transition, which in turn keeps adding huge amount of information every day. Big Data is one of the best tool in today’s world when we talk about problem solving. It has truly helped us in overcoming the age-old challenges, and now it is doing the same with different businesses. Read more at:
https://www.smartdatacollective.com/big-data-unlocks-key-age-old-challenges-businesses-face/
In today’s world, medical organizations are taking the help of innovative healthcare solutions allowing healthcare providers to reduce costs, improve patient treatment, and optimize workflow and thereby, the solutions significantly transform the industry. So, new technologies like mobile applications, smart devices, biosensors, wearables, home virtual assistants, blockchain-based electronic medical record systems, predictive analytics, and web health portals indicate a truly new stage in the healthcare environment. These innovative tech solutions, help the healthcare organizations to take the advantage of automated decisions, continuous patient state monitoring, and successful diagnoses. Research tells us that IoT in the healthcare market is expected to reach nearly USD 409.9 billion by 2022 and by the end of 2018, healthcare providers will have saved $1 billion using robotic process acceleration (RPA) tools. Read more at:
https://www.iotforall.com/top-digital-health-solutions/
Artificial Intelligence has come to a new dawn. The future truly relies on AI. From Eliza to Google Assistant, AI chatbots have come a long way now. But how are they helping to strengthen the marketing efforts. Find out at:
https://www.smartdatacollective.com/ai-chatbots-help-strengthen-marketing-efforts/
Most of the organisations right now are collecting a lot of data every day and doing all sorts of manipulations with it. And now, since we have the right tools, it is easier for us to make better decisions and have more cost efficiency. But, the machine all on its own can never be of the best use for data management. A co-operation between humans and machines is becoming essential at all levels. Read more at:
Road accidents almost tops the list for the cause of injuries and death all around the world. But now, Big Data researchers seem to have come up with an effective solution. They say Big Data can help us understand crash site data, make vehicles safer and eliminate risk in isolated solutions. Some suggest that automated vehicles are the way to go. Whatever they do, road safety cannot be achieved without human effort and focus. Or can it? Read more at:
https://www.smartdatacollective.com/investigating-the-relationship-between-big-data-and-road-safety/
Business requires you to be as productive as possible so that the overhead costs are lower and profits are higher. But, not all business utilizes the tools they could be to make that really happen and one new tool that is gaining popularity, however, is not yet used by all businesses are the chatbots, a computer suite that interacts with humans over the internet. Their replication of human language and behavior provides several benefits that can be used in your business. They are: Saving time, saving money, providing greater customer satisfaction, increase customer base, cutting down errors etc. Read more at:
In today’s date, Artificial intelligence is controlling our lives and with each passing month, AI is becoming ever more integral to our world. It is true that advertising and marketing are important in terms of partnering with digital creative agencies to find unique uses for the technology. It is also true that AI is transforming digital marketing in many ways from machine learning to building custom content. This article link explores five of the applications for AI that are already revolutionizing digital marketing. They are : Machine Learning, Behaviour analysis, Integrating Insights, Creating and Presenting Personalized Content. Read more at:
Location-based tools can be easily imagined to be used for transportation purposes, but this technology has also recently been linked to the healthcare sector. With modern location data, you can easily find where all the physicians are and they can be easily called to the facility in a case of emergency. Similarly, an injured patient can be sent to the exact place in the facility that is not that busy as compared to others. Recently, a hospital in Wisconsin saved $850,000 in overtime staffing costs by placing a similar system. Find out more at:
https://www.smartdatacollective.com/real-time-location-data-revolutionizing-healthcare-industry/
Location-based tools can be easily imagined to be used for transportation purposes, but this technology has also recently been linked to the healthcare sector. With modern location data, you can easily find where all the physicians are and they can be easily called to the facility in a case of emergency. Similarly, an injured patient can be sent to the exact place in the facility that is not that busy as compared to others. Recently, a hospital saved $850,000 in overtime staffing costs by placing a similar system. Find out more at:
https://www.smartdatacollective.com/real-time-location-data-revolutionizing-healthcare-industry/
As the data in the ‘datasphere’ is about to increase a thousand percent by 2025, data giants like Amazon and Google are looking forward to Object Storage, making File and Block storage methods the news of yesterday. But, even that is not enough, billions of dollars are being drained annually to improve the data centre around the world. Therefore, it’s time that we go to the next step, taking data storage out, into the space. Read more at:
https://www.smartdatacollective.com/data-storage-space-works/
We may be decades away from robots attending us at the hospitals, but the influence of AI technology in the medical field have arrived. It’s a known fact that in AI, Machine Learning (ML) is considered to be the best approach but most of the AI solutions concerning medical sectors are not an example of ML. They are generally using the algorithms that are created by humans. Then what exactly is happening with AI in the Medical Field?
https://www.wired.com/story/this-computer-uses-lightnot-electricityto-train-ai-algorithms/
The IoT is the next huge thing that’s coming up in IT industry. It opens up a lot of new aspects for them but there still is the question of security. Therefore, some suggest that Free Network Monitoring Software must be used when dealing with IoT. Read more at:
https://www.spiceworks.com/it-articles/network-monitoring-internet-of-things/
The latest version of Deep Learning Application (Bayou) will help humans in programming. With the help of just a little information and some keywords, Bayou can almost predict the programmers brain. The researchers have used method of Neural Sketch Learning to train its Neural Network. It can easily take over forums like Stack-Overflow because of its instant reply to programming problems. Read more at:
https://www.futurity.org/artificial-intelligence-bayou-coding-1740702/
64% of IT experts feel that cloud security is a very secure place to work but 10% also think that it is not secure at all. Whereas in the recent data breaches, it is observed that it took place because of human mistakes and that cloud was not responsible for it. The latest advancements in the cloud technology like Basic6, Box View, AWS, etc. have made sure cloud is efficient for business operations. Only with the increase in cloud users and business efficiency, the security of the cloud can improve. Read more at:
The threat to the future of web personalization is crippled with rising privacy concerns. A poll suggests that 91% people believe that they have lost control to their personal data. But most of them are also supporting the personalization of websites. Therefore, it is important to find out what types of data user is comfortable sharing with the manufacturer. There is no subjective answer to that question, different people have different standards. Some suggest that giving the control over personalization directly into the hands of customers is the best way to tackle this situation. Read more at:
https://www.smartdatacollective.com/privacy-concerns-hinder-personalization-web-based-applications/
Nowadays, we can hear about lot of myths surrounding AI and ML. This article link has busted those myths and allowed the truth to rise to its deserved place in the informational hierarchy. The basic misconception is that most of the people link AI and ML directly to robot, which is not true. Other than this, there is a whole other discussion of AI taking over humans, to which even Stephen Hawking and Elon Musk agreed. In some economical respects, these threats seem to be real, like self-driving cars replacing human drivers. But a new trend is on rise, in which the AI is included in the business structure by shifting the human staff to a new position. AI/ML is still an infant and hence we shouldn’t fear AI takeover anytime soon. Continue at:
https://www.smartdatacollective.com/busting-myths-ai-machine-learning/
