Kevin Robinson, vice president of marketing for WiFi Allaince announced in the beginning of the year about the latest WiFi protocol i.e. WPA3. Now this protocol is finally out in the market in the latest products offering a new level of security – authentication and encryption- for both personal and enterprise. Although, WPA2 is still a mandatory protocol for the devices that connect over WiFi and WPA3 is optional for now. Some changes brought in WPA3 are simplified configuration, better authentication and increased cryptographic levels. Bruteforce dictionary attacks will now take even more time and the attacker will have to interact with the network every time making any unauthorised access even more difficult.

Read More at https://www.darkreading.com/operations/wpa3-brings-new-authentication-and-encryption-to-wi-fi/d/d-id/1332145

The AI industry is blooming at a very rapid rate. AI has start to appear in almost every sector and industry. But the results of AI may vary depending upon the data fed to it,  the techniques used, the scope of its usage, the expertise level of its users and builders, and the expectations set with that AI. The quality of data fed to the system vastly affects the AI decision making. 

The ERP giants like SAP and Oracle have their roots in the garden for a really long time that it will take at least two years for any new competitor to give them a dent. Also, let’s not forget that the technology is flying at a rapid rate, so two years is really long time for a technology to go outdated. Recently, it has been noticed that these giants are trying to move their on-premises systems to cloud based systems. This is not an easy task to move tons of data without much affecting the pricing and retaining the customers. 

Proper implementation of Machine Learning(ML) techniques in the organisation can turn out to be a blessing for the organisation. Leaders should consider that implementation of ML can be beneficial not only for them but for the whole organisation as well. Machine Learning can do the repetitive and mindless tasks, providing time for employees to focus on more important tasks. Out of the box solutions can be tempting but at the same time they should put some effort and investment in outlining the best usage of this blooming technology.

IoT and artificial intelligence are two of the buzzwords recently. According to IDC, spending of IoT is expected to exceed $ 1.4 trillion by 2021. And more the IoT means more the data and as the amount of data increases it becomes difficult to manage and analyze the data. Here, AI acts as a reliever. AI can help find patterns and analyze those huge stacks of data. So, overall, AI and IoT are considered common friends that have enough potential to build a bright smart future of upcoming technological world.

Read more at : https://www.informationweek.com/big-data/ai-machine-learning/ai-and-iot-techs-new-bffs/a/d-id/1332108

Enterprise level organizations should try to incorporate blockchain into their system. At the same time they should not just get blockchain just for the trend, but it should be done with a strong sight towards companies’ scope. Blockchain can benefit these enterprises by simplifying the third party transactions and overseas value transfers. Blockchain can also provide incredible advancement to analytics systems which will inflate the data-input quality and insight outputs. 

With many companies still stuck to take advantage of data, analytics has to be number one question because this is a key stage to implement AI successfully. There is a sequence of evolution in analytics, starting from descriptive to prescriptive. 

Nowadays, organizations tend to skip traditional analytics and shift into AI. Many enterprises use the descriptive analytics, applying BI techniques: combine all your data to get a quick review on what’s going on in the company. 

Without the insight that analytics brings, it will be hard to assess the outcome of any artificial intelligence system. Analytics keeps AI transparent, responsible and may help increase the productivity of AI systems. Unproductive information control leads to the unnecessary operational costs. AI analytics helps to find out cost savings and prepares a report with the help of main ROI metrics to keep up productive decision making.

From food to clothing, to real estate, and to everything; now AI and machine learning is everywhere. They can recognize foods, value of real estates, things in your images and many more. They are really good at whatever it does. There have been varieties in application of AI and it will be interesting to integrate all those stuffs into one general intelligence.

CES 2018 showed the present scenario of the robot industry. The best of the companies presented the best of their futuristic gadgets, mostly smart home integration. The current progress is ready steady and mesmerizing but we are still about a decade behind having a real human like butler, or in better words a real human like robot friend sitting next to us. 

Read more at: https://www.popsci.com/personal-robot-butlers-ces-2018

When it comes to development in IoT, one should try to bring out the most useful aspect of anything using IoT. Slow but stable approach allows teams to begin gaining benefits gradually without running the risk of outpacing their learning curve. Hosting on a secure ISO certified platform is also equally important as the first step towards user data security. Many IoT developers place too much importance on how devices are connected to each other, and too little on how they deliver value to meet customers' needs. Instead, one should focus on actual outcomes.

Read more at: https://www.informationweek.com/strategic-cio/it-strategy/four-tips-for-a-successful-iot-deployment/a/d-id/1331958?

Europe's General Data Protection Regulation, commonly known as GDPR, recently became a very popular concern for most of the companies collecting data over internet. This GDPR is a rule passed by the European Union in the year 2016, setting some new rules on how companies will manage and share personal data. On 25th May 2018, they also introduced some new changes which forced the companies to make changes in their policies. Many rules in GDPR are built on rules set by earlier EU privacy policy like the Privacy Shield and Data Protection Directive, but now the rules are expanded in two crucial ways. First, the GDPR sets a higher bar for obtaining personal data than we have ever seen on the internet before. Therefore, any time a company gathers personal data on an EU citizen, it will need clear and informed consent from that person. Second, the GDPR’s fines are severe enough to get the entire industry’s attention.

Read more at: https://www.theverge.com/2018/3/28/17172548/gdpr-compliance-requirements-privacy-notice

Blockchain technology has disruptive potential as this technology can play a big part in streamlining the supply chain process and ensure farmers and buyers can connect in a more secure and transparent way. Banks and insurance companies will also be able to see the real time position of the farmer. In all, blockchain can empower farmers and improve the terms in which they conduct business. The world’s population looks set to reach ten billion by 2050, agriculture will have to adapt and improve with technology becoming an ever more integral part of how it operates. 

Read more at: https://www.theglobaltreasurer.com/2018/05/09/how-agriculture-can-benefit-from-blockchain/