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Artificial Intelligence

Newly minted technologies are not only disrupting the age- old work styles, they are questioning the very existence of industries. Indeed, this is further giving way to more questions on the society itself. Pitched battles are now figuratively being fought between teams of robots and humans on either side. While the former do bring a certain sense of order and efficiency, the latter may have the edge when it comes to creativity and understanding emotions. Talent recruitment processes too are getting altered, as several industries are staring at a possible jobless future. Silicon Valley and Wall Street are both getting bombarded with such ideas. The human agenda thus needs to be reclaimed. Algorithms cannot provide us with direction, but are merely a means of completing the tasks.

Source:https://www.strategy-business.com/article/Team-Human-vs-Team-AI?gko=4d55d

Uploaded Date:20 May 2019

The retail sector is making good use of Artificial Intelligence (AI), with several examples to prove this. One is Lowes using robots for locating goods. Walgreens uses AI for tracking the spread of Flu. Makeup can be found easier now at Sephora. An individually curated taste- matching perfect coat can be found by North Face. Neiman Marcus uses AI to search visually. Ordering of tacos may be done by customers of Taco Bell. Thred Up uses AI in its data warehousing operations, by remembering customer preferences. The other retailers using AI include the likes of Amazon, Macy’s, Walmart, West Elm, Uniqlo, Olay, Sam’s Club, H&M, Kroger, Starbucks, Zara, Rebecca Minkoff and Starbucks.

Source:https://www.forbes.com/sites/blakemorgan/2019/03/04/the-20-best-examples-of-using-artificial-intelligence-for-retail-experiences/#7d32f24d4466

Uploaded Date:15 May 2019

Artificial Intelligence (AI) is not a single technology, but a suite of them, to help mimic human functions. Machine Learning (ML) is its most popular sub- field. There are different ways in which companies use this AI. The vast quantities of data warehousing, gets analyzed to process meaningful insights. AI is also used for customer service and marketing mix optimization. Enhancement and extension services are also offered. AI may also be used to detect anomalies and frauds in the system. While working with AI though, a few factors need to be considered. First of all, the data sources need to be determined, on which the advanced business analytics needs to be conducted. The business opportunities also need to be put within a broad boundary. The system needs to be designed with the end goal in sight. Finally, the right investment needs to be made on the process, while also raising awareness on it.

Source:https://www.bain.com/insights/customer-experience-tools-artificial-intelligence/

Uploaded Date:25 January 2019

Artificial Intelligence (AI) and Machine Learning (ML) are among the top research priorities for the tech giants like Google. This is good news for tech freelancers, as many of them, work in these areas. The use of AI for overall social good, and the ethical principles to be applied is one such sub- area. Another is assistive technology, of which Google Duplex is a good example. Quantum Computing and Natural Language Understanding are two others. Tracking perceptions using tools such as Google Lens is another major business innovation at play now. The algorithms too need to be tied up to the theory. Night Sight used on Pixel phones, is an example of the art of Computational Photography. Much of the business research now may be gauged through digital outreach from tools such as the Google AI Residency. Some of the other areas of growth scope are health, new place discovery, robotics, open source software, Auto ML, TPUs, software systems and applications to newer areas.

Source:https://www.forbes.com/sites/jonyounger/2019/01/16/googles-ai-and-ml-research-priorities-freelancers-take-note/#26f0a96e344c

Uploaded Date:22 January 2019

Companies across the spectrum of industries are jostling to win the race for utilization of Artificial Intelligence or Machine Learning. That is why platforms such as Amazon’s Sage Maker, Google’s Tensor Flow and the Azure by Microsoft are in such demand. However, companies need to realize that winning this race has to be about the right data warehousing. Capturing the right data goes a long way in being able to deduce conclusions. Companies are trusting data much more. This is reflected in the fact that in 1975, 83% of the total asset focus was dominated by tangible ones, but it reached an 84% focus for intangible assets by the year 2015. Not merely the stockpiling of data, but companies need to curate from a diverse set of the same. More than just comprehensive data, if it is meaningful, it helps in the process of business analytics. But before any such campaigns, companies must identify the starting point and what they seek to achieve.

Source:https://sloanreview.mit.edu/article/the-machine-learning-race-is-really-a-data-race/?utm_source=twitter&utm_medium=social&utm_campaign=sm-direct

Uploaded Date:07 January 2019

The benefits of using Artificial Intelligence (AI) at work are well- known. But the use of AI in human interactions is not so well documented. That is why a memory scientist Julia Shaw who has also written the book The Memory Illusion has developed Spot in collaboration with two software engineers. Spot is a digital chatbot that helps people report distressing incidents. This is particularly crucial as a lot of workplace harassment, including sexual harassment does not get reported. The bot also allows for anonymity. Another is an Israeli company Beyond Verbal. It has a patented product relating to emotions analytics. Call centres are using this product for their corporate training programmes. A messaging app Ixy, works as a personal AI mediator to facilitates text chats. AI can also be used in the field of talent recruitment. Its biggest advantage is that AI weeds out inherent cognitive biases.

Source:https://www.strategy-business.com/blog/How-Artificial-Intelligence-Can-Make-Us-Better-at-Being-Human?gko=04c7f

Uploaded Date:07 January 2019

Across the board companies are toying with digital transformation with financial services firms at the forefront of it. However, the benefits aren’t accruing much as yet, according to business intelligence supplied by the Harvard Business Review Analytic Services and the EXL Service. However, on closer scrutiny, this is because most of these transformations are only seeking to work on functional aspects. It is not always about the availability of some technology, but also about using the right set. The EXL Service itself worked with HSBC on its KYC (Know Your Customers) processes. It was here realized that the use of natural language processing and Artificial Intelligence (AI) can help reduce turnaround and employee onboarding time by up to 90% and 70% respectively.

Source:https://www.forbes.com/sites/tomgroenfeldt/2018/12/03/reducing-kyc-costs-with-digital-and-artificial-intelligence/#2e168e3d240b

Uploaded Date:31st December 2018

Several top leaders from the field of Artificial Intelligence (AI) and cybersecurity have given their verdict on major trends for the coming year of 2019. One of them is quite scary, which is that AI- driven chatbots may go uncontrollable in 2019. Another is that a lot of the decision- making will now be left up to AI software as they will deduce conclusions from the reams of data they possess, and the business analytics performed on them. Increasing number of attacks will be forged on AI or Machine Learning (ML) tools. AI will even be used to create malicious executables. A lot of analysts will even grow disillusioned with the promise of AI and ML considering the time to value. Data warehousing will get easier thanks to AI’s ability to distinguish the sensitive data from the rest. Automation will play a bigger role in 2019. Cyberattacks will only increase in frequency and intensity.

Source:https://www.scmagazine.com/home/security-news/2019-cybersecurity-predictions-artificial-intelligence/

Uploaded Date:28 December 2018

The International Telecommunication Union’s (ITU) top policy- making body had its annual meet in Dubai between end October to mid- November. Some key trends have emerged that got outlined here. One such trend is that Artificial Intelligence’s (AI)rise shows no signs of stagnating. It can sift through enormous quantities of big data within moments to bring out useful insights. One such utilization is with regards to high- resolution images using drones, medical scans or satellites that can help practitioners identify emergencies. If used in the right manner, AI can help countries meet their 17 United National Sustainable Development Goals (UNSDGs). In particular, the deployment of Machine Learning is allowing devices to derive solutions using algorithms, rather than depending on human programming. There are several challenges of course, not least being the threats to cyber- security. To ensure that the powers remain confined to the good use, a diverse set of stakeholders must be involved in the design and development of such AI systems. The bot can deliver the business intelligence, but it is humans who will be making use of the conclusions towards the decision- making.

Source:https://news.itu.int/challenges-and-opportunities-of-artificial-intelligence-for-good/

Uploaded Date:28 December 2018

AI and Machine Learning need to be used to hone customer who will remain loyal throughout. For this a customer- first approach needs to be applied in the B2B world. This involves a through analysis of the entire data warehousing done thus far. This will help track trends in the customer base, so campaigns may be directed accordingly. Customized touch points need to be curated across the purchase journey. This needs to be incorporated across digital channels during the marketing campaigns. The reach needs to be expanded using advanced business analytics. This analytics performed need be data- driven, with adequate scope for post – sale digital engagement. It will also help partners in any B2B process to predict and anticipate customers’ needs. The content may be generated likewise.

Source:https://www.forbes.com/sites/forbestechcouncil/2018/12/20/three-ways-to-use-ai-and-machine-learning-to-create-customers-for-life/#4f945a797c65

Uploaded Date:28 December 2018

Artificial Intelligence (AI) is now through its specific offerings smartly challenging the retail landscape. Wal-Mart for example is using Bossa Nova Robotics to improve its business intelligence on the shelf space. L’Oréal for its part has acquired Modiface, which is an augmented reality startup. This helps the beauty giant in its data warehousing efforts. This data so captured can then be assessed to come up with solutions competitors such as Estee Lauder or Sephora wouldn’t be indulging in. There is a growing trend for voice shopping assistants such as Amazon Alexa, though the use still remains quite marginal. Theft could in the future get reduced even more thanks to the deployment of cashless stores. Now even food delivery is going driverless. Kroger for example has partnered with Nuro, which is a robotics startup to experiment autonomous grocery delivery. Even Pizza Hut and Domino’s are considering the use of autonomous vehicles for their food deliveries.

Source:https://www.inc.com/michelle-cheng/5-fascinating-ways-artificial-intelligence-is-changing-retail-industry.html

Uploaded Date:03 December 2018

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