Silicon valley giant Google on Thursday (18 May) at its annual conference announced an Artificial Intelligence (AI) first strategy. Its no longer mobile first it is in AI in mobile now. AI moves into the consumer space with almost all Google's applications that come bundled with Android actively using it. Everyone knows Google through its eponymous search bar, Gmail icon, and Google maps it is part of every netizens life. These software application or even the algorithm is not Google.

Humans are forgetful; we need calendar reminders, notepads, schedules, and assistants. But the co-creator of Siri, Apple's digital assistant, says artificial intelligence technology could make forgetting an archaic problem of the past. Tom Gruber, the AI guru and Siri co-creator, believes that AI technology could help improve human's shortcomings. During the TED 2017 conference on Tuesday, Gruber said it is inevitable that once artificial intelligence surpasses human intelligence, the technology will be used to enhance human cognition and memory. "What if you could have a memory that was as good as computer memory and is about your life?" Gruber asked the audience, as Recode reports.

Amy works just like a human assistant, except she's not human. It's an AI bot made by X.ai, a company specializing in scheduling assistants that respond to natural language. Amy is so good at what she does that I find myself thanking her for booking a meeting, forgetting she needs no more thanks than my microwave. It's impossible to ignore all the buzz about AI bots. Last month, Facebook's David Marcus announced that over 30,000 bots have been built since the opening of its Messenger app to bot developers in April.

Artificial intelligence (AI) based voice assistants have become common among smartphones since last year and are expected to continue on the growth spiral, at least till 2021, according to projections published Thursday by research firm Ovum. "Ultimately, a digital assistant is just another user interface. It will only be as good as the ecosystem of devices and services that it is compatible with. Partnerships between tech giants and local service providers will therefore be key differentiators," said Ronan de Renesse, practice leader, Ovum Consumer Technology team and author of the report. "Here is a disconnect between the'know-it-all, do-it-all' approach that current digital assistants are aiming toward and the highly personalized virtual assistance experience that consumers have dreams/nightmares about. Whoever can bring personal consumer data in a secure, non-creepy way to digital assistance will be able to bridge that gap and capture most of the opportunity."

Google's computer programs are gaining a better understanding of the world, and now it wants them to handle more of the decision-making for the billions of people who use its services. CEO Sundar Pichai and other top executives brought Google's audacious ambition into sharper focus Wednesday at an annual conference attended by more than 7,000 developers who design apps to work with its wide array of digital services. Among other things, Google unveiled new ways for its massive network of computers to identify images, as well as recommend, share, and organize photos. It also is launching an attempt to make its voice-controlled digital assistant more proactive and visual while expanding its audience to Apple's iPhone, where it will try to outwit an older peer, Siri. The push marks another step toward infusing nearly all of Google's products with some semblance of artificial intelligence – the concept of writing software that enables computers to gradually learn to think more like humans.

Google will make it harder for that friend in your group to make excuses when chipping in for food. The tech titan's voice assistant will be able send personal payments for you in the coming months, just like its rival Siri can, so long you're in the US. Simply tell it to "Send John $10 for pizza" or something similar and authenticate the transaction with your fingerprint or password to send cash. Your recipient will then receive an email about your payment. The big G recently tweaked its API to make any card associated with your account available on all its apps and on third-party applications that use Google Payments.

A future driven by AI technology has just been outlined by the CEO of Google, Sundar Pichai, during his keynote address at Google IO 2017. Pichai stated "the more we democratise access to AI, the sooner everyone will benefit". This vision was backed up by announcing a number of AI driven technologies including improvements to Google Home, Google Assistant and the all new Google Lens -- an object recognition system that uses a smartphone camera and machine learning to interpret the world around you. This is another major step toward a machine driven future -- a movement that has garnered a lot of attention in recent years. AI isn't a new technology and has been applied to plenty of digital systems for decades.

Food delivery company DoorDash says personalized restaurant recommendations based on AI are seeing a significant lift in orders, compared to regular recommendations based on popularity. In an interview with VentureBeat, DoorDash product manager Jimmy Liu said customers who saw personalized recommendations on average "were over 25 percent more likely" to place an order versus people who saw the most popular restaurants in their area. We talked with Liu on the eve of the company's announcement today that it's rolling out these machine-learning based recommendations to all of its users, after testing it on increasing percentages of its customer base. Millions of users have already seen the recommendations, the company said. Liu said the 25 percent lift from recommendations came specifically from email campaigns.

Machine Learning is the buzzword of the moment. In recent years, news stories raving about its possibilities have soared, Google searches for the term have quadrupled, and companies across the globe have been scrambling to figure out how to capitalize on the excitement by bringing it into their product mix. While that can be a great thing, claims made by some businesses about what Machine Learning can do are wildly exaggerated. That makes it crucial to cut through the noise and get to grips with its potential, limitations, and what you can realistically achieve with your resources so that any investment makes solid business sense -- so say Philip Lima, CEO of Mashey, and Boaz Farkash, Head of Product Management at Sisense. The pair joined forces to deliver an in-depth webinar on Machine Learning and business intelligence, which you can view in full here.

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