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Juniper Research: Digital Therapeutics Revenue from Health Insurers to Reach $8 Billion …

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"As developers and healthcare providers increasingly grapple with issues of liability and malpractice, machine learning will transition from a …


25 Top Chatbot Statistics: Usage, Demographics, Trends

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To answer all of these questions and more, we've put together 20 chatbot statistics and trends with all the latest data. Hopefully, the stats below will help you to uncover some interesting insights. Let's kick things off by taking a look at the most important chatbot statistics. The stats below tell you more about the growth of the chatbot industry and its adoption in different market sectors worldwide and reveal some of the biggest trends we're seeing this year. According to Drift's 2020 State of Conversational Marketing report, usage of chatbots as a brand communication channel increased by a whopping 92% since 2019.


Machine Learning for Fraud Prevention

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Machine Learning aids e-commerce to foil attempts at payment fraud, as they happen. Long before the pandemic led to an avalanche of online shopping, e-commerce had become a way of life for many Americans, especially Millennials and Gen Zers. In fact, 60% of Millennials bought online in 2019, while 24% Gen Zers strongly prefer to purchase online and 13% through mobile. This has led to variety of online shopping choices, including e-shops, online banking, online insurance and other online services. As Hil Davis, Co-founder of the online men's retailer, said, "E-commerce and mobile commerce have dramatically changed the way brands reach customers, making it faster and easier for consumers to make purchases on the fly while avoiding the hassles of going to the store."


Network operators are stepping up investment on Artificial Intelligence

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A new study from Juniper Research has found that wireless and infrastructure network carriers spend on Artificial Intelligence (AI) solutions will exceed $15 billion by 2024. One factor fueling investment in AI and other digital transformation initiatives is the rise of over-the-top (OTT) applications that directly compete with the operators' traditional business. Voice and messaging services such as WhatsApp, Skype, Telegram, and WeChat in China have transformed the way most users communicate, making a dent in voice and SMS revenues. Juniper Research believes that "the lack of regulation in this sector has enabled the staggering rise of OTT messaging and voice services, making it attainable for players such as WhatsApp, Line, WeChat and others to maintain low pricing business models and fast-paced nature of offerings." "Digital transformation has significantly changed operators' business models, which only a decade ago relied predominantly on SMS, MMS and voice calls for revenues."


The Critical Role of Artificial Intelligence in Payments Tech - FintechNews

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Long an obsession of science fiction writers, "artificial intelligence" in the modern era of fast-paced technological innovation is a term that is as ubiquitous as it is nebulous. For the payments technology industry, however, the term describes advanced analytical technology that has an outsized potential to improve the payments ecosystem for banks, payments processors, merchants and consumers. In fact, financial services companies will spend US$11 billion on AI in 2020, according to an analysis by IDC -- more than any other industry cited. They'll stand to make a nice return on their investment as well, according to PwC estimates. In North America alone, AI is projected to increase the GDP of the financial and professional services industry as much as 10 percent by 2030, driven by increases in both productivity and consumption.


The Critical Role of Artificial Intelligence in Payments Tech Trends

#artificialintelligence

Long an obsession of science fiction writers, "artificial intelligence" in the modern era of fast-paced technological innovation is a term that is as ubiquitous as it is nebulous. For the payments technology industry, however, the term describes advanced analytical technology that has an outsized potential to improve the payments ecosystem for banks, payments processors, merchants and consumers. In fact, financial services companies will spend US$11 billion on AI in 2020, according to an analysis by IDC -- more than any other industry cited. They'll stand to make a nice return on their investment as well, according to PwC estimates. In North America alone, AI is projected to increase the GDP of the financial and professional services industry as much as 10 percent by 2030, driven by increases in both productivity and consumption.


Chatbots for customer service will help businesses save $8 billion per year - Watson

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Key Points: – Chatbots will save businesses more than $8 billion per year by 2022, a huge increase from the $20 million estimated for this year. In banking, this will climb to 90% in 2022. A new study releases this week by UK-based Juniper Research supports our prediction that chatbots will redefine the customer service industry, with healthcare and banking industries expected to benefit the most. The new report titled "Chatbots: Retail, eCommerce, Banking & Healthcare 2017-2022," estimates that chatbots will help businesses save more than $8 billion per year by 2022, which is a huge increase from the $20 million estimated for this year. Call centers and customer service departments should already be investing in these new conversational technologies if they want to stay competitive and cost-effective as companies across industries grow their investment in building chatbots to help service customers faster, across any channel, device or platform, 24 7. Advancements in technology continue to transform customer service interactions.


How AI will advance the mobile messaging app evolution

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There has been a significant evolution in the variety of use cases for mobile Application to Person (A2P) messaging. Historically, A2P was used for alerts and as a billing mechanism and carrier for simple content and services, both for one-off downloads or actions (e.g. The latter use case has declined in the past 5 years, due to a combination of the transition to an app-based economy, largely driven by card billing and by regulatory action -- in markets such as the U.S. and the UK -- against the many known fraudsters. However, the near demise of this use case has been more than offset by the emergence of alternative opportunities, many of which have themselves been created by consumer adoption of software apps and smartphones. A recent worldwide market study by Juniper Research found that revenues from Rich Communication Services (RCS) messaging will exceed $9 billion by 2022 -- that's up from an estimated $126 million in 2018.


The increasing role of artificial intelligence in healthcare delivery evolutions

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Healthcare is in digital transformation, both on the healthcare provider and payer side. Research indicates that healthcare delivery now is ready to be disrupted by artificial intelligence (AI) and AI start-ups between 2017 and 2022. Annual spending on computer aided diagnosis (CAD) systems and evolutions in this field will be impacted as a result. Computer aided diagnosis systems are expected to enhance speed and accuracy of patient diagnoses and reduce pressure on doctors, among others by better accuracy of the CAD systems. Artificial intelligence increasingly won't just be significant in CAD systems, it is becoming important across the several other technologies driving the digital healthcare market.


Chatbots for customer service will help businesses save $8 billion per year - Watson

#artificialintelligence

Key Points: – Chatbots will save businesses more than $8 billion per year by 2022, a huge increase from the $20 million estimated for this year. In banking, this will climb to 90% in 2022. A new study releases this week by UK-based Juniper Research supports our prediction that chatbots will redefine the customer service industry, with healthcare and banking industries expected to benefit the most. The new report titled "Chatbots: Retail, eCommerce, Banking & Healthcare 2017-2022," estimates that chatbots will help businesses save more than $8 billion per year by 2022, which is a huge increase from the $20 million estimated for this year. Call centers and customer service departments should already be investing in these new conversational technologies if they want to stay competitive and cost-effective as companies across industries grow their investment in building chatbots to help service customers faster, across any channel, device or platform, 24 7. Advancements in technology continue to transform customer service interactions.