What’s What on AI in Marketing

The impact of Artificial Intelligence in CRM for expedited sales automation and effective sales and marketing campaign.

From the SIINDA localcomm 2019 conference. We’re currently experiencing an AI gold rush. Billions are being invested. AI startups abound. Google, Amazon, and Microsoft are duking it out for AI supremacy. Corporations are scrambling to ensure they adopt AI ahead of their competitors while looking over their shoulder at startups. And countries are vying for AI supremacy. The question is where does local fit into this new frontier. This session will provide a non-technical introduction to AI and show how value is being created across industries and functions. It will take a deep dive into local and show how AI can be used to drive sales, marketing and customer service; drive efficiencies; deeper insights and competitive differentiation. Weaving in practical case studies it will also look at how the tech giants are becoming AI first companies.

In the past, getting insights from the data using machine learning (ML) and artificial intelligence (AI) required experts with coding skills and knowledge of math & statistics. The scarcity of talent and huge infrastructure set up cost, often makes it difficult for organizations to get early results from their Machine Learning initiatives. Through this webinar, we will learn how 'No Code AI' tools make it possible to leverage the power of machine learning without needing to code. It is helping business analysts, domain experts, and business decision-makers to experiment and get started with quick-win Machine Learning projects. What you will learn: - Traditional vs No Code AI Process - Best practices to accelerate machine learning adoption - Demo: How organizations are deploying machine learning models without coding expertise within hours, not weeks

Artificial intelligence (AI) is becoming a reality due to advances in three key areas: data models, data availability, and processing power. AI is present in many consumer apps through machine learning techniques. For businesses, AI can help address challenges around data silos, lack of data expertise, infrastructure constraints, and lack of context for AI. By connecting all customer data into a single view and using AI tools that anticipate needs, businesses can close the gap between intelligence and customer experience.

In their report, “Predictions 2017: Artificial Intelligence Will Drive The Insights Revolution”, Forrester Research predicts that “insights-driven businesses will steal $1.2 trillion per annum from their less-informed peers by 2020”. Statista tells us that this year “the global AI market is expected to be worth approximately 7,35 billion U.S. dollars.” I compiled a “best of” e-book for Informa Connect Learning from interviews with 34 pioneers on the topic of AI in marketing, healthcare, finance and maritime/logistics. From Wolfgang Lehmacher, Head of Supply Chain and Transport Industries of the World Economic Forum to Forbes 30 under 30 Domeyard Hedge Fund Partner, Christina Qi, the Global No. 1 Fintech, AI, Blockchain & No. 2 InsurTech Influencer by Onalytica, Spiros Margaris to award winning scientist and entrepreneur, ReviveMed CEO and Co-Founder, Leila Pirhaji - learn how 34 of the top artificial intelligence experts in the world are using AI to disrupt their industries, increase profits, drive efficiencies and in many cases - save lives.

The document discusses 4 models for how machine learning (ML) can provide competitive advantage for startup software-as-a-service (SaaS) companies: 1. Tell Me Something New - Using ML to gain new insights from customer data to improve experiences and workflows. 2. Replacing Rules-Based Systems - Using ML to replace traditional rules-based systems with more accurate ML-powered approaches. 3. The Ironman Suit - Using ML to enhance human capabilities by surfacing insights or predicting actions. 4. Replacing Humans - Using ML to replace human labor for operational tasks through application programming interfaces (APIs) or other automated processes. However, the document cautions

Artificial Intelligence (AI) and Machine Learning (ML) are moving towards becoming an essential component of modern mobile application development. In the coming years, almost every application will depend on ML and AI. Here are the steps to implement AI and Machine Learning in your existing app. https://bit.ly/2UlNMH0

Artificial intelligence is used in marketing to collect customer data and insights in order to make automated decisions and improve return on investment. AI helps marketers analyze large amounts of data from sources like social media, emails, and websites to understand customer needs. It can also address issues like data protection and cyber attacks by adapting to market trends. Additionally, AI makes marketing more personalized by sending tailored messages to customers, building trust and credibility. It allows companies to forecast sales and inventory based on past customer behavior and expectations.

Description: Artificial Intelligence has become unstoppable with the wake of machine learning technologies transforming our lives within the physical as well as digital landscape. AI stimulates the cognitive operations & processes tasks across industries redefining the way how systems are programmed and how users will interact with them. As this entire computing paradigm continues to thrive, the time is near when AI augmentation-oriented tasks will perform far better than any human. However it’s only left on time to see how future humans will be poised at a high level to deal with such complex patterns of AI & change the world!

How to communicate Artificial Intelligence to clients and consumers - results from an international study

The document provides information about career opportunities in artificial intelligence. It discusses various applications of AI across industries like healthcare, entertainment, banking/finance, marketing, retail, manufacturing and more. It outlines popular job roles in AI like software engineers, data scientists, AI researchers, intelligence specialists, consultants, AI data analysts, machine learning engineers, sales engineers, and product managers. The document also provides sample job descriptions for roles like artificial intelligence engineer and machine learning engineer. It discusses necessary skills for AI careers like Python, Java, R, machine learning frameworks, data science, analytics and more. Finally, the document shares success stories from the Post Graduate Program in Artificial Intelligence and Machine Learning (PGP-AIML).

1) AI-driven web development can significantly speed up the development process by automating tasks like inputting data, predicting issues, and even writing code from scratch with self-learning algorithms. 2) AI tools can simplify the design process by recommending design templates and elements based on user preferences and objectives captured by AI assistants. 3) AI systems can automatically test websites, identify bugs and sometimes even fix them, finding and resolving issues much faster than traditional testing methods.

As the fourth industrial revolution unfolds, organisations are having to re-skill and adopt new strategies for sales, marketing and HR success. Many boards are still evolving into Social Businesses - organisations which adopt social media for effective HR, customer service and sales, as well as a channel for marketing. But further game changers are on the horizon, one being Artificial Intelligence. These slides are highlights of the many public and private talks and presentations I deliver. Connect with me on LinkedIn or Twitter - @katieeking

A chatbot is a service, powered by rules and sometimes artificial intelligence, that you interact with via a chat interface. The service could be any number of things, ranging from functional to fun, and it could live in any major chat product (Facebook Messenger, Slack, Telegram, Text Messages, etc.).

Artificial intelligence (AI), also known as machine intelligence, is an aspect of computer science that deals will the designing of intelligent mechanical systems that work and react like humans. AI incorporates information from everything ranging from Google search algorithms to machinal processes. From SIRI to self-driving cars, everything is the outcome of artificial intelligence, which is rapidly progressing and taking over our human lives.