Logistics companies, both old and new, have invested heavily in building an efficient frontline workforce to provide swift and convenient services to their users. Timely delivery is often a critical deciding factor for the ever-impatient customers to choose service A over service B. Hence, operations/logistic team is the key enabler here. The attrition rate in large frontline teams is high, close to 75 percent annually. Yet most companies have aggressive growth targets, necessitating recruitment of high volumes of workers constantly. High-growth companies in this domain like Zomato and Swiggy, grew by more than 50-60 percent by the end of 2018, recruited tens of thousands of delivery boys every month.

Big Data is the unexpected resource bonanza of the current century. Moore's Law driven advances in computing power, the rise of cheap storage and advances in algorithm design have enabled the capture, storage, and processing of many types of data previously that were unavailable for use in computing systems. Documents, email, text messages, audio files, and images are now able to transform into a usable digital format for use by analysis systems, especially artificial intelligence. The AI systems can scan massive amounts of data and find both patterns and anomalies that were previously unthinkable and do so in a timeframe that was unimaginable. While most of the uses of Big Data have been coupled with AI/machine learning algorithms so companies and understand their customer's choices and improve their overall experience (think about recommendation engines, chatbots, navigation apps and digital assistants among others) there are uses that are truly industry transforming.

AI and ML are increasingly gaining traction with their ability to integrate with technologies, which is the reason why app development companies are reaping best benefits by its usage! Machine Learning, AI and neural networks have so much to offer, with their idiosyncrasies in features that top AI companies need to figure out best deals from the roaster of offerings. As technology seeps into our daily lives, it affects the way we live, work, get entertained, eat, search, and do various other things. It has elevated from voice-powered personal assistants like Siri and Alexa to more complex underlying technologies involving suggestive searches, behavioral algorithms, applications with predictive capabilities, autonomously-powered self-driving vehicles, and many more general-purpose applications like Tesla, Cogito, Boxever, John Paul, Amazon.com, A true-artificial intelligent system is capable of learning on its own.

AI and ML are increasingly gaining traction with their ability to integrate with technologies, which is the reason why app development companies are reaping best benefits by its usage! Machine Learning, AI and neural networks have so much to offer, with their idiosyncrasies in features that top AI companies need to figure out best deals from the roaster of offerings. As technology seeps into our daily lives, it affects the way we live, work, get entertained, eat, search, and do various other things. It has elevated from voice-powered personal assistants like Siri and Alexa to more complex underlying technologies involving suggestive searches, behavioral algorithms, applications with predictive capabilities, autonomously-powered self-driving vehicles, and many more general-purpose applications like Tesla, Cogito, Boxever, John Paul, Amazon.com, A true-artificial intelligent system is capable of learning on its own.

From checking the latest football stats to figuring out what to pack your kid for lunch, there's a lot you can ask of your Echo. But, one of the most versatile features of the smart speakers' digital assistant, Alexa, is the ability to create a playlist. Ready to rock out in your kitchen while you prepare your next meal? Or maybe you want to lay your head down on your pillow and drift off into slumber listening to soothing bedtime tunes. Whether you're using our favorite Echo device, the Echo second-generation, or the ever-popular Echo Dot, Alexa can help you create a playlist for any time of the day.

Smart TVs and home devices are harvesting consumers' personal data and funnelling it to big technology companies, researchers have warned. Sensitive information such as one's exact location is reportedly being wired to corporations such as Facebook, Amazon and Netflix - even if the person is not their customer. The findings from a team at the Northeastern University in Boston and Imperial College London came as fears of creeping privacy intrusion is grabbing headlines across the globe. Smart TVs and home devices are harvesting consumers' personal data and funnelling it to big technology companies, researchers have warned Sensitive information such as one's exact location is reportedly being wired to corporations such as Facebook, Amazon and Netflix - even if the person is not their customer David Choffnes, computer scientist at Northeastern University, said: 'Amazon is contacted by almost half the devices in our tests, which stands out because [this means] Amazon can infer a lot of information about what you're doing with different devices in your home, including those they don't manufacture.' A total 81 devices - including products by LG and Samsung - were monitored in the US and the UK to determine how much personal data was logged and where it was exported to, according to the Financial Times.

The users can ask Alexa for diverse Hindi content such as jokes, shayaris, games, Kabir ke dohe, Panchatantra stories, Bollywood dialogues, more than 500 Alexa skills, and even spellings of words in Hindi. According to Puneesh Kumar, Country Manager for Alexa Experiences and Devices, Amazon India, conversations in Hinglish are common. "With today's launch, you will notice that Alexa has become more local. Alexa will not only understand and respond in Hindi or Hinglish but, is also armed with a lot of knowledge about topics that interest users in the country ranging from local information to music, and from Bollywood to cricket," Kumar noted. Soon, customers will also be able to speak to Alexa in Hindi and English without changing the language setting back and forth.

Certain machine behaviors never cease to amaze me. I'm astounded by their ability to learn from their accomplishments and from their interactions with we humans. Unfortunately, many business managers still think of artificial intelligence (AI) and machine learning algorithms as something that will be impossible for them to understand. But I believe that knowing the fundamental principles that underlie the new technologies behind autonomous vehicles, shopping recommendation engines, Alexa and the rest can boost managers' confidence in them and help them make their companies more innovative. The two key drivers of major smart technologies today are machine learning and deep learning.

The Amazon Echo is a welcome addition in any kitchen. "Starting next month, customers will be able to simply say, 'Alexa, donate to [candidate name]' to contribute up to $200 to any participating candidate's campaign fundraising efforts," Amazon announced on its company blog. The contributions via Alexa will begin in October, Amazon said. Beyond the contributions, the e-tailer said, it will offer neutral, unbiased, nonpartisan information about the candidates, available via voice requests. "We aim to provide the most relevant, accurate, and timely information about elections and candidates," the company said.

Artificial intelligence is changing our daily lifestyle and work. It's hard to find an industry not using machine learning in some capacity to improve business operations. While the real estate space has traditionally been slow to incorporate new technologies, AI's offerings are turning heads. Tech-based companies are forming to capitalize on the advantages of AI, and corporate brokers and investors are incorporating the technologies to improve customer acquisition leads, satisfaction and service, with the understanding that these programs reduce some of the routine employee tasks and can increase profits. Artificial intelligence learns faster, thinks quicker, digs deeper and produces more accurate information and analytics. For a single investor or group, incorporating AI can provide an edge over competitors.