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Best practices for implementing AI-powered Next Best Action and Omnichannel in Pharma

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The shift in pharmaceutical sales from traditional, product-driven approaches to customer-centric ones is well underway. Many pharmaceutical companies are now using some kind of AI-powered Next Best Action (NBA) approach to guide marketing and sales efforts, and omnichannel is becoming the industry standard. These approaches benefit customers, be they payers, practitioners or patients, who get to enjoy a more personalised and customer-centric experience, tailored to their preferred methods of communication. When done correctly, AI-powered NBA and Omnichannel in pharma leads to increased sales, improved retention, and greater overall customer satisfaction. In fact, customers have responded so well to NBA and omnichannel practices that, in just a few short years, it has become an integral part of their expectations.


The Future of Work in Developing Nations - IOT Helps Global Manufacturers Break Into Local Markets

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Here, Claudia Jarrett, US country manager at automation parts supplier EU Automation, explains how big players can learn from local businesses, using the IoT to their advantage. Harvard Business Review reports that multinational companies are finding it difficult to optimize their products, services and culture to local markets. The article says that big players are finding international growth costly and cumbersome, especially in countries where they don't have staff who are familiar with local cultures and customers or reliable local supply chain partners. Local companies understand the culture, language and compliance issues, of course, which raises the question: is there a better and more cost-effective way for large manufacturers to integrate local businesses and workers into their networks? Let's look at some steps big manufacturers can take, and why the IoT will prove essential. Three quarters of German manufacturers surveyed in Pricewaterhouse Cooper (PwC)'s Digital Factories 2020 report named regionalization as their main driver for investing in digital factories.


Engati โ€“ Our Platform . Your Brand Partner for AI Chatbots

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The world is moving towards more automation, future tech conversational commerce and from menus to conversations as a primary interaction model. If you are a Digital agency, a customer services company, a consulting firm, a local reseller or distributor of future tech products, or an entrepreneur, Engati is a must have solution in your portfolio. Engati is the fastest growing no code bot platform globally with tested functionality across all domains, multi-lingual, across 145 countries and more than 10,000 customers. With the Engati partnership you get access to this entire platform along with focused training, exclusive support and bot experts that have built 1000s of bots for companies of all sizes and use cases. We extend to you the ability to create or grow your business in your local market as an extension of your current offerings.


Hike, Artificial Intelligence and Machine Learning

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Homegrown internet startup Hike describes that social products should be joyful. They should be built around people and not the other way around. They should be fun and should celebrate the depth of relationships. They should allow people to be their true selves and go beyond the limits that hold them back in the real world. And following the same, their messenger app is built around the same values and policies.


Robots in the Workforce: Automation Is a New Era for Engineers

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Since the dawn of manufacturing, designers and engineers have repeatedly run up against limitations to making things. Their ability to execute and capacity to afford bringing their ideas to market were once constrained by the manufacturing facility they had to find--either local or offshore--to build the things they wanted to build. But in a new world of enhanced robotics, factory automation, 3D printing, generative design, and design-make-use convergence, engineers' project limitations will fade away. And it's all because machine learning, computing power, and robots in the workforce are increasingly capable and intelligent. Soon, engineers will be able to design the best thing possible and then hand it to robots to dissect and turn into a series of assembled 3D-printed components.