Marketing


Why SMEs should embrace machine learning

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RECENT technological advancements have placed artificial intelligence (AI) along with its subfield of machine learning (ML), at the forefront of transforming small and medium-sized enterprises (SMEs) digitally. Some SMEs are starting to tap into ML to shape their business processes and decision-making with the ultimate aim of raising profitability through revenue improvement, cost reduction and new sources of value creation. ML is seen as a continuation of the concepts around predictive analytics. However, a key difference in ML is that it uses mathematical algorithms to train computers in the processing and analysing of large amounts of data, allowing them to produce rules, identify patterns and generate classification predictions. It is important to note that computers automatically learn without human intervention or being explicitly programmed.


Artificial Intelligence in Digital Marketing 2020

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Created by Srinidhi Ranganathan PREVIEW THIS COURSE - GET COUPON CODE What you'll learn Be able to create augmented reality experiences with apps Be able to create numerous content articles with artificial intelligence tech Be able to curate numerous content articles with artificial intelligence tech Know about a lead-gen platform to extract leads on the go Know about a influencer marketing platform to use for great insights and content marketing Enroll Now - Artificial Intelligence in Digital Marketing 2020 Description This game-changing course in 2020 will cover artificial intelligence tools in content creation, curation, augmented reality and digital marketing and will take you on a glimpse into the future. We will also look at influencer marketing tools, content trends and a bit of competitor analysis through the use of BuzzSumo. Why learn this amazing artificial intelligence course and how is this a differentiator for content creators? This course can change your life if you are a content expert. Because, I will provide you with hands-on experience on creating tons and tons of articles for your blog for inbound marketing using an Artificial Intelligence content tool and you don't even have to write the content yourself - ever again.


Artificial Intelligence in Manufacturing and Supply Chain Market Analysis, Size, Share, Growth, Trends And Forecast 2020-2026 - Periodical 360

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The Global Artificial Intelligence in Manufacturing and Supply Chain Market analysis report published on Dataintelo.com is a detailed study of market size, share and dynamics covered in XX pages and is an illustrative sample demonstrating market trends. It covers the entire market with an in-depth study on revenue growth and profitability. The report also delivers on key players along with strategic standpoint pertaining to price and promotion. The Global Artificial Intelligence in Manufacturing and Supply Chain Market report entails a comprehensive database on future market estimation based on historical data analysis. It enables the clients with quantified data for current market perusal.


How AI Unlocks Brand Value in Unstructured Data - insideBIGDATA

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In this special guest feature, Ido Ramati, Founder, COO & President at Revuze, discusses how unstructured data is being wasted by companies the world over. It is estimated 90 percent of an enterprise's data is unstructured, living in emails, online reviews, or other untouched and ultimately useless formats. This data – defined as "unstructured" and growing at 55 to 65 percent each year – offers valuable customer insight if properly understood. Ido is a serial entrepreneur with extensive business and leadership experience, including deep business and technological Internet knowledge. He has founded and led a number of start-up companies through fundraising and launch.


Latest Chatbot Challenges to Look Out for in 2020 - The Chatbot

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Leveraging chatbots in customer service is gaining popularity. Chatbots can engage with your existing customers and potential buyers via chat and voice conversations. Using chatbots can help reduce your customer support costs. In fact, by integrating chatbots, both businesses and consumers can save about 2.5 billion customer service hours by 2023. Regardless of all of these challenges, chatbots are still the future.


Guide to AI Strategy for the Market Research Executive

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Artificial intelligence is transforming market research. US companies are predicted to spend over $31 billion in 2020 to better understand their customers, their markets, their competitors and the perception of their brand. AI is fueling this increase in spending, up from $16 billion in 2019. Digital transformation initiatives are integrating digital technology into all areas of the business, transforming how the business operates and delivers value to its customers. Since technology is rapidly evolving, this transformation is driven by a cultural change, not a single process or initiative, that requires experimentation, learning and failure.


Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising

Neural Information Processing Systems

In search advertising, the search engine needs to select the most profitable advertisements to display, which can be formulated as an instance of online learning with partial feedback, also known as the stochastic multi-armed bandit (MAB) problem. In this paper, we show that the naive application of MAB algorithms to search advertising for advertisement selection will produce sample selection bias that harms the search engine by decreasing expected revenue and "estimation of the largest mean" (ELM) bias that harms the advertisers by increasing game-theoretic player-regret. We then propose simple bias-correction methods with benefits to both the search engine and the advertisers. Papers published at the Neural Information Processing Systems Conference.


Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions

Neural Information Processing Systems

Motivated by pricing in ad exchange markets, we consider the problem of robust learning of reserve prices against strategic buyers in repeated contextual second-price auctions. Buyers' valuations ew{for} an item depend on the context that describes the item. However, the seller is not aware of the relationship between the context and buyers' valuations, i.e., buyers' preferences. The seller's goal is to design a learning policy to set reserve prices via observing the past sales data, and her objective is to minimize her regret for revenue, where the regret is computed against a clairvoyant policy that knows buyers' heterogeneous preferences. Given the seller's goal, utility-maximizing buyers have the incentive to bid untruthfully in order to manipulate the seller's learning policy.


Trending 2020: Artificial Intelligence (AI) In Supply Chain Market Booming Worldwide – Daily Science

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Prophecy Market Insights recently presented Artificial Intelligence (AI) In Supply Chain market report which provides reliable and sincere insights related to the various segments and sub-segments of the market. The market study throws light on the various factors that are projected to impact the overall dynamics of the Artificial Intelligence (AI) In Supply Chain market over the forecast period (2019-2029). The Artificial Intelligence (AI) In Supply Chain research study contains 100 market data Tables, Pie Chat, Graphs & Figures spread through Pages and easy to understand detailed analysis. This Artificial Intelligence (AI) In Supply Chain market research report estimates the size of the market concerning the information on key retailer revenues, development of the industry by upstream and downstream, industry progress, key highlights related to companies, along with market segments and application. Global Artificial Intelligence (AI) In Supply Chain market 2020-2030 in-depth study accumulated to supply latest insights concerning acute options.


How to Increase Your Business Sales With AI

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If you are in business and you want to grow your business exponentially with less investment then you should connect with technology. Nowadays online marketing and advertisement are playing very important roles in the business's growth. Many small businesses are making so much profit with good online marketing and advertisement setup but if you will hire some agency to do marketing for you they will charge you a good amount because they have professionals to work on all the things but this increases your business execution cost. We at Tal-com are doing research on this field for a very long time and find out the solution to the Artificial Intelligence engine which can work for you 24/7 at less cost. Ya, it's possible because the machine can work all the time and continuously learning new things.