Artificial intelligence is becoming good at many "human" jobs--diagnosing disease, translating languages, providing customer service--and it's improving fast. This is raising reasonable fears that AI will ultimately replace human workers throughout the economy. Never before have digital tools been so responsive to us, nor we to our tools. While AI will radically alter how work gets done and who does it, the technology's larger impact will be in complementing and augmenting human capabilities, not replacing them. Certainly, many companies have used AI to automate processes, but those that deploy it mainly to displace employees will see only short-term productivity gains. In our research involving 1,500 companies, we found that firms achieve the most significant performance improvements when humans and machines work together. Through such collaborative intelligence, humans and AI actively enhance each other's complementary strengths: the leadership, teamwork, creativity, and social skills of the former, and the speed, scalability, and quantitative capabilities of the latter. What comes naturally to people (making a joke, for example) can be tricky for machines, and what's straightforward for machines (analyzing gigabytes of data) remains virtually impossible for humans.
Description Here's a basic definition of machine learning: "Algorithms that parse data, learn from that data, and then apply what they've learned to make informed decisions" An easy example of a machine learning algorithm is an on-demand music streaming service. For the service to make a decision about which new songs or artists to recommend to a listener, machine learning algorithms associate the listener's preferences with other listeners who have a similar musical taste. This technique, which is often simply touted as AI, is used in many services that offer automated recommendations. Machine learning fuels all sorts of automated tasks that span across multiple industries, from data security firms that hunt down malware to finance professionals who want alerts for favorable trades. The AI algorithms are programmed to constantly be learning in a way that simulates as a virtual personal assistant--something that they do quite well.
AI, ML, and NLP are making it far more feasible to automate many data analytics processes. It hasn't taken long for smart technologies such as Google Home and Amazon Alexa to become embedded in everyday life. In the process, millions of us have become accustomed to the idea of holding something approaching a natural conversation with a machine. Natural language processing (NLP) is one of the key enablers of this voice-controlled revolution. Going forward, we can expect NLP to play a similarly central role in transforming the way we interact with data analytics tools.
AI has become a game-changer tool in the IT sector. Artificial intelligence and automation have significantly transformed how organizations run their production lines. As AI tools can garner real-time insights, it has facilitated the companies' design and product innovation techniques. When applied correctly, AI and automation can help develop better, faster, and cheaper business techniques. Automation tools can be deployed to automate repetitive tasks, allowing the IT staff to focus on strategic tasks instead of administrative work.
When you download a dating app, fill out a profile with some of your most private information, and select "allow app to access location" to locate nearby potential love interests, you may feel a little exposed, but you proceed anyway, in order to find those dates. But there is reason to believe that by using these sites, you may be unknowingly submitting to government tracking--and we can't know for sure because of all of the secrecy involved with deals that data brokers make with government agencies. It's yet another demonstration of the need to bring transparency to the data-collection industry. Dating apps ask users for a variety of highly personal information and retain it indefinitely, potentially forever. This can include photos and videos, text conversations with other users, and information on gender, sexual orientation, political affiliation, religion, desire to have children, location, HIV status, and beyond.
The last few years saw customers shift their preference from buying clothes at retail outlets to conveniently buying online on their gadgets. This change in customer behavior was further accelerated by COVID-19 as customers had to depend on buying online for most of their shopping needs. Despite COVID-19 beginning to ease off slowly, customers believe that shopping online is a lot more convenient than having to go from store to store to get what they're looking for. E-commerce brands are thus doing their best to keep their hard-earned customers engaged on their platform by delivering personalized user experiences. We caught up with Mohit Panjwani, Associate Director- Revenue Growth at Myntra to understand how e-commerce fashion brands like Myntra are leveraging the power of customer data and marketing analytics to craft memorable and personalized shopping experiences.
The last few years saw customers shift their preference from buying clothes at retail outlets to conveniently buying online on their gadgets. This change in customer behavior was further accelerated by COVID-19 as customers had to depend on buying online for most of their shopping needs. Despite COVID-19 beginning to ease off slowly, customers believe that shopping online is a lot more convenient than having to go from store to store to get what they’re looking for. E-commerce brands are thus doing their best to keep their hard-earned customers engaged on their platform by delivering personalized user experiences. We caught up with Mohit Panjwani, Associate Director- Revenue Growth at Myntra to understand how e-commerce fashion brands like Myntra are leveraging the power of customer data and marketing analytics to craft memorable and personalized shopping experiences. Myntra is India’s leading e-commerce company committed to making fashion and lifestyle products accessible to everyone. From its birth as a customization company in 2007 to being technology and fashion pioneers today, Myntra has grown to become the ultimate destination for fashion and lifestyle, being host to a wide array of merchandise including clothing, footwear, accessories, jewellery, personal care products, etc. Mohit shares his thoughts on: * Major customer engagement and retention challenges faced by e-commerce brands * Importance of adopting an omnichannel approach to effectively engage with customers across all touchpoints of the user journey * Need to have a consistent messaging across channels beyond website and app- thoughts on product recommendations, personalized emails, and app push notifications * How predicting customer churn through ML is critical to increasing retention * Innovative campaigns and ideas used to increase customer engagement and repeat purchase behavior * 3 biggest e-commerce trends that can pick up steam in 2021 Tune in to gain insights on how the best in the business caters to customer needs and requirements by delivering customer experiences at scale.
It turns out that Apple's iOS 14.5 update won't actually let you change your default music service that you use with Siri. Beta users had originally noticed that it appeared as if early versions of the update might allow you to change the default service that launches when you ask Siri to play a song. This meant that rather than specifying a third-party music app with each request, Siri would remember your preference and launch with the service you had originally specified. While all that still seems to be the case, TechCrunch reports that Apple has apparently "clarified" that it "doesn't consider this feature the equivalent to'setting a default.'" That's because the feature relies on "Siri intelligence," which can track your music-listening habits over time and predict which app you're more likely to want at that moment.
In today's digital age, it is impossible to ignore Artificial Intelligence (AI) and its impacts. AI is important in understanding how businesses operate. AI services and programs have the capacity to transform everything about the business. AI and automation are touted to be the biggest game-changers in the century. Latest companies are now moving to machine learning and artificial intelligence to transform interactions, relationships, revenues, and services.
Amazon and Microsoft are adding a new Amazon Alexa app to the Xbox with a number of capabilities, including the ability to remotely browse your home's camera system via Microsoft's game console. The new Alexa app for Xbox isn't quite live, though; it's listed as "Coming Soon" on the Microsoft Store. Controlling your Xbox via an Alexa-powered speaker isn't new--Microsoft launched the capability to Windows Insider beta testers in 2018 via what it called a "skill"--but it's the first time we've seen such tight Alexa integration on the Xbox itself. Microsoft says the app will run on both the Xbox One (presumably including the Xbox One X) as well as the latest Xbox Series X and S consoles. You'll need an Amazon Echo or other Alexa-powered device too, of course.