Intelligent Process Automation (IPA) has become a buzzword. Where the speculators have perspectives ranging from "farfetched" and "too good to be true". To anticipate that the future of Automation is unfolding right in front of us. The hype created around the subject clearly explains the need for organizations to adopt it. But the subject is off the radar for some business organizations mainly due to a lack of technological expertise or simply because they're too busy to learn more.

In India, during the festive season, online retail witnesses a great jump in the number of consumers each year around August to January, with an expected 40 percent rise in consumer traffic. This also implies serious competition between e-commerce players. Their marketing and sales team do everything to ensure that their deals and campaigns are better than the others. Due to aggressive marketing campaigns, offers and discounts by brands, 2018's festive season saw a 71 percent rise in the number of online customers. Amid this, the question arises, what method is applied by these companies to stay ahead in the competition?

As 2017 comes to a close, many SEOs will be looking forward and setting some goals for their campaigns in 2018. In this post, I am going to take a look at the SMART goals methodology that can help you set and achieve aggressive, yet realistic goals. SMART goals set out a series of criteria that can be used for setting marketing objectives. This is all wrapped up in the clever mnemonic acronym -- Specific, Measurable, Achievable, Realistic and Timelined -- which makes SMART goals so easy to remember. Specific objectives are crucial to success in any marketing campaign.

The chipmaker, which recorded a $5.4 billion charge in the quarter due to the recent tax reforms, has been focusing on its data center business and newer areas such as artificial intelligence and driverless cars to reduce its reliance on its traditional PC market.

Tokyo-based Honda, which makes the Fit subcompact, Accord sedan and Asimo robot, reported Tuesday a 207.3 billion yen ($1.9 billion) profit for April-June, up from 174.6 billion yen the same period last year.

One taxi driver said he had noticed a 20 percent rise in passenger traffic since using the AI prediction system. In downtown Tokyo, just like in most major cities, taxi drivers make an educated guess as to where they might find their next paying passenger. Years of experience have honed their prediction skills to pinpoint customers depending on location, the time of day and weather. But even with this knowledge, tracking down passengers is still a hit and miss science with many drivers saying they can cruise around for up to two hours without finding a fare. Japan's biggest mobile phone operator, NTT Docomo, wants to change all that.