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Top Recent Chatbot Innovations - Druid Enterprise Chatbots Blog

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The continuing march of technology had quite an impact on chatbots this past year, with machine learning taking the fore. The ability to deploy a chatbot that can not only answer FAQs and redirect relevant queries to live operators, but that can actually learn new answers to as-yet unasked questions--that's what we mean by ground-breaking. A spate of new sites came into their own this year that proved chatbots don't have to be chatty to be incredibly successful. Using a conversational interface on a database search tool, for example, allows users to enter semantic search phrases, and have the results parsed for relevance before being returned in similarly universal language. These sites and apps prove that the AI-powered software, with a user-friendly interface on the front-end, is a winning combination (we'll have examples to share below).


10 Common Uses for Machine Learning Applications in Business

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Machine learning has advanced from the age of science fiction to a major component of modern enterprises, especially as businesses across almost all sectors use various machine learning technologies. As an example, the healthcare industry is utilizing machine learning business applications to achieve more accurate diagnoses and provide better treatment to their patients. Retailers also use machine learning to send the right goods and products to the right stores before it is out of stock. Medical researchers are also not left out when it comes to using machine learning as many introduce newer and more effective medicines with the help of this technology. Many use cases are emerging from all sectors as machine learning is being implemented in logistics, manufacturing, hospitality, travel and tourism, energy, and utilities.


How Machine Learning Transforms Marketing World? - IMC Grupo

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Machine learning is not new to the marketing field. Hardly any company hasn't yet implemented these benefits to optimize content, boost customer experience, and increase sales. But as time goes, ML tools become even more elaborate and help marketers conquer all the new peaks in improving their efficiency and satisfying consumers. As a subset of artificial intelligence, machine learning is the computer's ability to develop new, more effective solutions through analyzing previous mistakes, choices, and decisions. Machine analysis is faster and more accurate than human, so it saves months of time and can be applied to almost any marketing task.


Smart Speakers Go Beyond Waiting to Be Asked

WSJ.com: WSJD - Technology

The Amazon Echo Show 10 automatically moves its display to face the user, even if it is performing a task that doesn't need user input, like showing a recipe on the screen. Get weekly insights into the ways companies optimize data, technology and design to drive success with their customers and employees. Proactive or not, features in smart-home devices need to address a real user need, not stack the product with unnecessary and potentially confusing tools, said Ashton Udall, senior product manager at Google. The company developed sensor technology to monitor sleep, for example, because its research showed that consumers frequently forget to use or charge the wearables often employed for sleep tracking, or find the devices uncomfortable, he said. Amazon and Google hope the experiences will help them compete for users and more fully integrate their devices into people's lives.


Conversational AI: Revolutionising Banking as We Know it

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The term conversational AI (CAI) refers to the underlying set of intelligent technologies that enable software systems to interact with humans using natural language processing (NLP). This involves the ability of software to understand the intent behind what a human is saying and respond in an intelligent, conversational way. In the last decade, technologies and use cases have evolved so rapidly that we have seen a deluge of terms enter circulation like chatbot, virtual agent, voice assistant and conversational UI to name a few. For senior executives and customer-focused leaders, certainly they should be looking to make this new channel a fundamental part of their banks' wider customer engagement strategy. That's why EPAM has produced a white paper outlining 7 Lessons Learned from the Field as a practical guide for both business leaders and technologists with customer-facing responsibilities in banking.


How AI chatbots improve business efficiency - Druid Enterprise Chatbots Blog

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Chatbots, and particularly those backed by AI and machine learning algorithms, are gaining steam across industries because of their power and versatility. As their impact continues to be felt and adoption spreads from industry to industry, we thought now was a great time to discuss some of the ways chatbots can help your business become more efficient. As is true for most mid- to large-scale organizations, you undoubtedly have divisions that face both outward, to your clients and customers, and some that face inward, handling employee concerns. No matter who the customer is, chatbots can provide needed assistance in streamlining processes, cutting costs, and helping your people get back to the intuitive, people-centered aspects of their roles. These are some of the better-known uses for chatbots.


Council Post: Nice Chatbot-Ing With You

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Martin Taylor is the Deputy CEO and Co-Founder of Content Guru. Siri and Alexa -- the robots we couldn't live without. Throughout the pandemic, these voice assistants have proven invaluable to many, as users turned towards Alexa and Google Assistant for entertainment, education and emotional help. In fact, according to one survey, 3 in 5 users believe that their voice assistant has helped them get through isolation, and 40% will continue to use their digital assistants more as a result of the pandemic. These smart assistants are so effective because they're driven by artificial intelligence (AI).


Application of new information technologies in the legal profession

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The magnitude of how technology has changed the landscape of the legal profession so far is quite astounding, considering how legal professionals used to be insistent on sticking to the status quo. The digital revolution made practicing law significantly easier by supplying lawyers with tools that streamlined parts of their previously outdated workflow, from researching case files to client relations. As law firms are working remotely and switching to a client-centric approach, now is the right time to consider how the latest IT developments will further impact the legal industry. With clients demanding law firms to be faster, cost-effective, and more flexible, law professionals have embraced automation and law firm software as solutions for growing customer expectations. Automation, in particular, helped law firms save time and deliver more productive results.


Council Post: Conversational Marketing Is The New Direct Marketing

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Marketing has changed drastically over the last decade, fueled by the evolution of technology and the demands of more discerning, sophisticated and impatient consumers. Yet, despite consumers' evolving preferences for how they access products, services and information, I would argue that most brands lag behind their customers' desires and needs -- they continue to rely on high-frequency, one-way communications while striving to instill urgency to drive conversions. This seems particularly true within the world of direct marketing that is heavily reliant on one-way channels where brands push the latest sales offers in tightly packaged, largely text-based campaigns, hoping to move the needle a few percentage points. As a long-time direct marketer and a humble student of the great David Ogilvy, I have always felt that it's somehow arrogant to believe that we could compel, persuade or influence a consumer by speaking at them -- employing one-way interactions without thinking they might want to say something back. According to one company's research, the SMS marketing conversion rate on Black Friday 2020 was 3.5%, which was awesome and significantly above 2019.


Agencies struggle to find the right AI solutions -- GCN

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Three-quarters of government decision-makers struggle to select the right artificial intelligence solutions for their projects, a new report found. Still, 61% of respondents to a KPGM survey said AI is moderately to fully functional in their organization, according to "Thriving in an AI World," a report the professional services firm released March 9. And in the next two years, respondents said they plan to use AI to improve process automation (48%) and analytics (40%). To determine the best AI solutions, agencies must first define their use case, said Rob Dwyer, KPMG advisory principal specializing in technology in government. Robotic process automation is a common entry point to AI in the public sector because vendors in that area are well established, and it's relatively easy to earn small wins that can drive support for other AI efforts, he said.