Top 10 Languages for Artificial Intelligence and Machine Learning

With the growing popularity of data science, machine learning and artificial intelligence has come a growing demand for developers with the skills needed to fill roles focused on those fields. One sign of that demand is the booming number of users of GitHub, which is owned by Microsoft, over the past year. In just 12 months, the software development community and platform added more than 10 million new users, bringing its total number of developers to more than 40 million, the company said in November — nearly 80% of whom are located outside the United States. Additionally, in a year, 44 million repositories were created and 87 million pull requests were made.

Spotlight

Sun Microsystems

Sun Microsystems, Inc. is a wholly owned subsidiary of Oracle Corporation. Oracle Corporation, an enterprise software company, engages in the development, manufacture, distribution, servicing, and marketing of database, middleware, and application software worldwide. With the acquisition of Sun Microsystems, Oracle also owns Solaris, Java, MySQL and the Sun line of storage, server and network hardware.

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Software, Future Tech, Application Development Platform

Are Telcos Ready for a Quantum Leap?

Article | July 24, 2023

Quantum technologies present both an opportunity for telcos to solve difficult problems and provide new services and a security threat that could require extensive IT investment. Are Telcos Ready for a Quantum Leap? When Andrew Lord, Senior Manager, Optical Networks and Quantum Research at BT, first started presenting quantum technologies at customer events six or seven years ago, his was the graveyard shift, he says, entertaining attendees at the end of the day with talk of 'crazy quantum stuff.' "But that is no longer the case," says Lord. "Over the last two years, I've noticed a shift where I now speak before lunch, and customers actively seek us out." Two developments may be causing the shift: Customers’ growing awareness of the threats and opportunities that quantum computing presents, plus a recent spike in investment in quantum technology. In 2022, investors plowed $2.35 billion into quantum technology startups, which include companies in quantum computing, communications and sensing, according to McKinsey. The public sector has also been digging deep into its pockets. Last year, the United States added $1.8 billion to its previous spending on quantum technology, and the EU committed an extra $1.2 billion, the consultancy noted, while China made total investments of $15.3 billion. According to Luke Ibbetson, Head of Group R&D at Vodafone, quantum computing's promise lies in solving a probabilistic equation within a few hours. This task would take a classical computer a million years to accomplish. This breakthrough would enable telcos to address optimization problems related to network planning, optimization, and base station placement. The flip side is that a powerful quantum computer could also break the public-key cryptography that protects today’s IT systems from hackers. As a spokesperson at Deutsche Telekom remarks: “Telcos will have to react to the threat of quantum computers to communication security because their core business model is at risk, which is offering secure digital communications.” The idea of quantum computing posing a security threat is not new. In 1994, Peter Shor, a mathematician working at AT&T Bell Labs, showed how a quantum computer could solve the logarithms used to encrypt data. “His work simultaneously ignited multiple new lines of research in quantum computing, information science, and cryptography,” according to an article by the Massachusetts Institute of Technology, where Shor is currently working. Beyond The Lab What has changed nearly thirty years on is that quantum computing is creeping out of the lab. Sizeable obstacles to large-scale quantum computing, however, remain. Quantum computers are highly sensitive to interference from noise, temperature, movement or electromagnetic fields and, therefore, very difficult and expensive to build and operate, especially at scale: IBM’s latest quantum processor, for example, operates at a very low temperature of approximately 0.02 degrees Kelvin. When Deutsche Telekom’s T-Labs tested telco use cases, it found quantum computing coped well with small problem statements. “However, when the problem size was scaled to real-world problem sizes, the quality of the QComp solution degraded,” according to the spokesperson. The company is now awaiting the next generation of quantum computing platforms to redo the analyses. All of this means, for now, quantum computers are not large and powerful enough to crack Shor’s algorithm. The question is, when will someone succeed? The Global Risk Institute tracks the quantum threat timeline. In its latest annual report, the organization asked 40 quantum experts whether they thought it likely that within the next ten years, a quantum computer would break an encryption scheme like RSA-2048 in under 24 hours. Over half the respondents judged the event to be more than 5% likely, and almost a quarter considered it to be more than 50% likely. Any breakthrough will come from a relatively small number of actors. Today, governments and academic institutions are home to around half of the 163 projects accounted for worldwide by Global Quantum Intelligence, a research and analysis company, according to its CEO, André M. König, with big technology companies and specialized startups accounting for the rest. Q2K Nonetheless, the impact of quantum computing could be widespread, even if relatively few of them are built. The challenge of preparing for a post-quantum future is often called Q2K in reference to the Y2K bug. In the late 1990s, many (but not all) governmental organizations and companies spent millions of dollars on Y2K systems integration to ensure that IT programs written from the 1960s through the 1980s would be able to recognize dates after December 31, 1999, all while being uncertain of the scale or the impact of the risk if they didn’t. ‘Q2K’ differs in that there is no specific deadline, and the dangers of a major security breach are much clearer cut. However, it is similar in demanding a lot of work on aging systems. “Cryptography is used everywhere,” points out Lory Thorpe, IBM’s Director of Global Solutions and Offerings, Telecommunications. She adds, “Because telco systems have been built over periods of decades, people don’t actually know where cryptography is being used. So, if you start to look at the impact of public key cryptography and digital signatures being compromised, you start to look at how those two things impact open source, how that impacts the core network, the radio network, [and] OSS/BSS, network management, how the network management speaks to the network functions and so on.” This complexity is why some analysts recommend that telcos take action now. “You’re going to find tens of thousands of vulnerabilities that are critical and vulnerable to a quantum attack. So, do you have to worry about it today? Absolutely - even if it’s in 2035,” says König. “Anyone who has ever done [IT implementation projects], and anyone who’s ever worked in cybersecurity [knows], tens of thousands of vulnerabilities that are critical [requires] years and years and years of just traditional integration work. So, even if you’re skeptical about quantum, if you haven’t started today, it is almost too late already.” Don’t Panic! For the past two to three years, Vodafone has been preparing to migrate some of its cryptographic systems to be quantum-safe, according to Ibbetson. He believes there is no need to panic about this. However, telcos must start planning now. König said, "The telecoms industry as a whole is not moving as quickly as some other sectors, notably the banking, pharmaceutical, and automotive industries. In these sectors, post-quantum security planning often involves CEOs at a very strategic level." For this reason, Vodafone joined forces with IBM in September 2022 to establish the GSMA Post-Quantum Telco Network Taskforce. “Even though many industries are preparing to be able to defend against future quantum threats, we didn’t see anything happening particularly in in the telco space, and we wanted to make sure that it was a focus,” says Ibbetson. “Obviously it will turn into an IT-style transformation, but it’s starting now with understanding what it is we need to mobilize that.” AT&T has also been working to pinpoint what needs to be addressed. Last year, the company said it aims to be quantum-ready by 2025, in the sense that it will have done its due diligence and identified a clear path forward. Minding Your PQCs Companies across multiple sectors are looking to post-quantum cryptography (PQC) to secure their systems, which will use new algorithms that are much harder to crack than RSA. König contends that PQC needs to become “a standard component of companies’ agile defense posture” and believes the development of PQC systems by software and hardware companies will help keep upgrade costs under control. “From a financial point of view, vendors do a fantastic job bringing this to market and making it very accessible,” says König. Lord, who has been researching quantum technologies at BT for over a decade, is also confident that there is “going to be much more available technology.” As a result, even smaller telcos will be able to invest in securing their systems. “It doesn't need a big boy with lots of money [for] research to do something around PQC. There’s a lot of work going on to ratify the best of those solutions,” says Lord. There are several reasons why eyes are on software based PQC. Firstly, it can be used to secure data that was encrypted in the past, quantum computing advances will make vulnerable in the future. In addition, the quantum-based alternative to PQC for securing network traffic called quantum key distribution (QKD), comes with a huge drawback for wireless operators. QKD is hardware-based and uses quantum mechanics to prevent interception across optical fiber and satellite (i.e., free space optical) networks, making it secure, albeit expensive. But for reasons of physics, it does not work on mobile networks. Setting Standards Given the importance of PQC, a lot of effort is going into standardizing robust algorithms. The political weight of the US and the size of its technology industry mean that the US government’s National Institute of Standards and Technology (NIST) is playing a key role in the technical evaluation of post-quantum standardization algorithms and creating standards. NIST expects to publish the first set of post-quantum cryptography standards in 2024. In the meantime, Dustin Moody, a NIST mathematician, recommends (in answers emailed to inform) that companies “become familiar and do some testing with the algorithms being standardized, and how they will fit in your products and applications. Ensure that you are using current best-practice cryptographic algorithms and security strengths in your existing applications. Have somebody designated to be leading the effort to transition. QKD There is no absolute guarantee, however, that a quantum computer in the future won’t find a way to crack PQC. Therefore, institutions such as government agencies and banks remain interested in using QKD fiber and satellite networks to ensure the highest levels of security for data transmission. The European Commission, for example, is working with the 27 EU Member States and the European Space Agency (ESA) to design, develop and deploy a QKD-based European Quantum Communication Infrastructure (EuroQCI). It will be made up of fiber networks linking strategic sites at national and cross-border levels and a space segment based on satellites. EuroQCI will reinforce the protection of Europe’s governmental institutions, their data centers, hospitals, energy grids, and more,” according to the EU. Telecom operators are involved in some of the national programs, including Orange, which is coordinating France’s part of the program called FranceQCI (Quantum Communication Infrastructure). Separately, this month, Toshiba and Orange announced they had successfully demonstrated the viability of deploying QKD on existing commercial networks. Outside the EU, BT has already built and is now operating a commercial metro quantum-encryption network in London. “The London network has three quantum nodes, which are the bearers carrying the quantum traffic for all of the access ingress,” explains Lord. For example, a customer in London's Canary Wharf could link via the network to the nearest quantum-enabled BT exchange. From there, it joins a metro network, which carries the keys from multiple customers “in an aggregated cost-effective way to the egress points,” according to Lord. “It is not trivial because you can mess things up and [get] the wrong keys,” explains Lord. “You really have to be more careful about authentication and key management. And then it's all about how you engineer your quantum resources to handle bigger aggregation.” It also gives BT the opportunity to explore how to integrate quantum systems downstream into its whole network. “What I'm telling the quantum world is that they need to get into the real world because a system that uses quantum is still going to be 90%, non-quantum and all of the usual networking rules and engineering practices apply. You still need to know how to handle fiber. You still need to know how to provision a piece of equipment and integrate it into a network.” SK Telecom is also heavily involved in quantum-related research, with developments including QKD systems for the control and interworking of quantum cryptography communication networks. Japan is another important center of QKD research. A QKD network has existed in Tokyo since 2010, and in 2020, financial services company Nomura Securities Co., Ltd. tested the transmission of data across the Tokyo QKD network. As the EU’s project makes clear, satellite is an important part of the mix. Lord expects satellite-based QKD networks to come on stream as of 2025 and 2026, enabling the purchase of wholesale quantum keys from a dedicated satellite quantum provider. Back in 2017, China already used the satellite to make the first very long-distance transmission of data secured by QKD between Beijing and Vienna, a distance of 7,000km. Securing The Edge There are additional efforts to secure communications with edge devices. BT’s Lord, for example, sees a role for digital fingerprints for IoT devices, phones, cars and smart meters in the form of a physical unclonable function (PUF) silicon chip, which, because of random imperfections in its manufacture, cannot be copied. In the UK, BT is trialing a combination of QKD and PUF to secure the end-to-end journey of a driverless car. The connection to the roadside depends on standard radio with PUF authentication, while transmission from the roadside unit onward, as well as the overall control of the autonomous vehicle network, incorporate QKD, explains Lord. SK Telecom has developed what it describes as a quantum-enhanced cryptographic chip with Korea Computer & Systems (KCS) and ID Quantique. Telefónica Spain has partnered on the development of a quantum-safe 5G SIM card and has integrated quantum technology into its cloud service hosted in its virtual data centers. Given China’s heavy investment in quantum technologies, it is no surprise to see its telecom operators involved in the field. China Telecom, for example, recently invested three billion yuan ($434m) in quantum technology deployment, according to Reuters. Quantum in The Cloud Some of America's biggest technology companies are investing in quantum computing. Today, it is even possible to access quantum computing facilities via the cloud, albeit at on small scale. IBM's cloud access to quantum computers is free for the most basic level, rising to $1.60 per second for the next level. And it is just the beginning. America's big tech companies are racing to build quantum computers at scale. One measure of scale is the size of a quantum processor, which is measured in qubits. While a traditional computer stores information as a 0 or 1, a qubit can represent both 0 and 1 simultaneously. This unique property enables a quantum computer to explore multiple potential solutions to a problem simultaneously; and the greater the stability of its qubits, the more efficient it becomes. IBM has a long history in quantum research and development. In 1998, it unveiled what was then a ground-breaking 2-qubit computer. By 2022, it had produced a 433-qubit processor, and in 2023, it aims to produce a 1,121-qubit processor. Separately, this month, it announced the construction of its first quantum data center in Europe, which it expects to begin offering commercial services as of next year. Google is also firmly in the race to build a large-scale quantum computer. In 2019, a paper in Nature featured Google’s Sycamore processor and the speed with which it undertakes computational tasks. More recent work includes an experimental demonstration of it’s possible to reduce errors by increasing the number of qubits. Microsoft reckons that "a quantum machine capable of solving many of the hardest problems facing humanity will ultimately require at least 1 million stable qubits that can perform 1 quintillion operations while making at most a single error." To this end, it is working on what it calls a new type of qubit, a topological qubit. Amazon announced in 2021 an AWS Center for Quantum Computing on the Caltech campus to build a fault-tolerant quantum computer.

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Software, Low-Code App Development, Application Development Platform

Empowering Industry 4.0 with Artificial Intelligence

Article | August 4, 2023

The next step in industrial technology is about robotics, computers and equipment becoming connected to the Internet of Things (IoT) and enhanced by machine learning algorithms. Industry 4.0 has the potential to be a powerful driver of economic growth, predicted to add between $500 billion- $1.5 trillion in value to the global economy between 2018 and 2022, according to a report by Capgemini.

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AI Tech

How Artificial Intelligence Is Transforming Businesses

Article | September 8, 2023

Whilst there are many people that associate AI with sci-fi novels and films, its reputation as an antagonist to fictional dystopic worlds is now becoming a thing of the past, as the technology becomes more and more integrated into our everyday lives. AI technologies have become increasingly more present in our daily lives, not just with Alexa’s in the home, but also throughout businesses everywhere, disrupting a variety of different industries with often tremendous results. The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity

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The advances of AI in healthcare

Article | February 11, 2020

With the Government investing £250 million into the project, the Lab will consider how to use AI for the benefit of patients – whether this be the deployment of existing AI methods, the development of new technologies or the testing of their safety. Amongst other things, the initiative will aim to deliver earlier diagnoses of cancer. It is estimated that in excess of 50,000 extra patients could see their cancer being detected at an early stage, thus boosting survival rates. More specifically, a study has shown that AI is quicker in identifying brain tumour tissue than a pathologist.This would have a positive knock-on effect in other areas, such as enabling money to be saved (that otherwise would have been spent on further treatment) and reducing the workload of staff (at a time when there is a crisis in NHS workforce numbers).

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Spotlight

Sun Microsystems

Sun Microsystems, Inc. is a wholly owned subsidiary of Oracle Corporation. Oracle Corporation, an enterprise software company, engages in the development, manufacture, distribution, servicing, and marketing of database, middleware, and application software worldwide. With the acquisition of Sun Microsystems, Oracle also owns Solaris, Java, MySQL and the Sun line of storage, server and network hardware.

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AI Tech

Forethought’s Autoflows: AI-Driven Revolution in Customer Support

Forethought | September 25, 2023

Forethought, a leader in generative AI for customer support, has introduced Autoflows, a groundbreaking autonomous resolution capability for SupportGPT. This innovation marks a significant step towards a more efficient, goal-oriented, AI-centric future in customer support. In the fast-evolving landscape of customer support, AI is positioned to revolutionize the way businesses interact with their clients. However, many large enterprises, despite claiming to be AI-first, still rely on outdated manual workflows rooted in the CRM era. These workflows consume hours of valuable time and often lead to subpar performance, dissatisfied customers, and delayed value realization. Forethought aims to transform this outdated approach into a system of intelligence, redefining what it means to be truly AI-first. Deon Nicholas, CEO and Co-Founder of Forethought, reportedly emphasized, Automation over the past decade has focused heavily on rules and tasks and building manual workflows. But the manual workflow is the Achilles heel of the AI-first future. [Source – Businesswire] Autoflows empower customer support leaders to define desired issue resolutions in plain, natural language, eliminating the need for complex decision trees or predefined rulesets. Leveraging AI, Autoflows accurately predicts user needs and determines efficient steps to achieve these desired outcomes. This efficiency allows support agents to redirect their focus towards more complex issues, transcending simplistic task-oriented processes. Autoflows promise significant benefits: Enhanced Customer Experience: Autoflows facilitate natural conversations with customers, employing generative AI models trained on real agent responses and CRM data. Improved Performance: These flows autonomously resolve customer issues and take actions in alignment with agent guidelines, brand preferences, and user prompts. Reduced Time to Value: Autoflows can be created in minutes using natural language, a stark contrast to the days it typically takes to construct intricate decision trees. Brent Pliskow, GM & VP of Customer Support at Upwork, expressed his appreciation for the innovation. He mentioned that they are constantly seeking to incorporate new generative AI capabilities into their customer support processes, with the goal of improving the customer experience and enhancing internal efficiency. He noted that, when they replaced specific manual workflows with Autoflows, they observed significant time savings compared to the traditional approach of building workflows. Additionally, he reported an increase of up to 27% in customer satisfaction in these particular use cases. About Forethought Founded in 2018, Forethought is a prominent generative AI company specializing in customer service automation. Its solutions seamlessly integrate generative AI powered by large language models (LLMs) to enhance support team efficiency. It offers instant case resolution, predictive case prioritization, and agent assistance, all within a single platform. With $90 million in venture capital funding and accolades like G2's Best Software Products for 2023, Forethought is a leader in the tech industry, headquartered in San Francisco, California.

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Software

Docupace Releases Developer Portal to Catalyze Fintech Innovation

Docupace | September 22, 2023

Docupace Technologies, renowned for its cloud-based fintech solutions tailored to the wealth management sector, has introduced the Developer Portal, a comprehensive hub designed to empower developers. It serves as a one-stop shop for developers to access and utilize Docupace's APIs and associated developer resources. It is set to facilitate innovation and collaboration within the financial technology industry. The Developer Portal provides an extensive array of resources, including detailed API documentation, tutorials, widgets, and practical examples. Developers can also perform tasks such as creating accounts, generating API keys, and testing their applications with Docupace's live APIs through this portal. Liz Pavlik, Executive of Product Management for Docupace, reportedly expressed excitement, stating, We are excited to launch our Developer Portal and make it easier for developers to build innovative solutions using our APIs. Our goal is to provide developers with the resources they need to be successful, and we believe the Developer Portal will play a key role in achieving that goal. [Source – Cision PR Newswire] Key features of the Docupace API Developer Portal: Comprehensive Documentation: In-depth insights into each API, including usage instructions, endpoints, parameters, authentication methods, and response formats. Tutorials and Examples: Resources to assist developers in getting started with Docupace's APIs Self-Service Account Management: Developers can create accounts, generate API keys, and manage subscriptions within the portal. Live API Testing: A platform for developers to test their applications against live APIs Interactive Code Samples: Real-world code samples in multiple programming languages to aid integration with the Docupace Platform. Robust Testing Environment: Controlled sandbox environment for efficient code validation and troubleshooting. Community Collaboration: A platform for developers to discuss, share knowledge, and collaborate on projects Matt Fields, Vice President of Research and Development at Docupace, affirmed the company's commitment to ongoing development and encouraged developers to provide feedback and suggestions through the portal's AI chatbot. About Docupace Docupace, headquartered in Los Angeles, California, is a leading digital operations technology provider specializing in streamlining and digitizing processes for wealth management firms. Its secure, cloud-based Docupace Platform offers solutions for client onboarding, document management, advisor transitions, cybersecurity, and regulatory compliance. With a focus on efficiency and compliance, Docupace serves a diverse range of financial firms, including some of the industry's largest players. Its expertise lies in web-based solutions, imaging, workflow management, and SaaS offerings, making them a valuable partner for financial services organizations seeking operational enhancements.

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AI Tech

Double Introduces AI Delegation Tool to Empower Busy Executives

Double | September 18, 2023

Double, the versatile remote assistant service designed to cater to the needs of executives, has recently introduced Mingo. Mingo, an AI-powered delegation companion, is tailored for the hectic schedules of executives and their remote assistants. Leveraging cutting-edge AI technology, Mingo ensures that crucial tasks are recorded, distills essential details from requests, and offers suggestions for the next steps to be taken by the assistant. With Mingo in their toolkit, executives utilizing Double can allocate their focus and energy to critical bottom-line responsibilities, knowing that their assistants possess all the requisite information to execute delegated tasks with precision. Mingo's debut comes at a moment when a staggering three out of four executives grapple with heavy workloads and an acute shortage of time to tackle top hurdles in their professional duties. While productivity applications and recently launched AI assistant services are available, they often fall short of providing the personalized attention, contextual understanding, and nuanced support that executives typically receive from human assistants. Double aims to bridge this gap with its AI-enabled executive assistant approach, empowering executives to enhance their productivity and significantly impact their work hours. Even the most skilled executive assistants, along with well-intentioned executives, occasionally contend with vague task parameters, resulting in multiple follow-up discussions that impede efficient execution. Recognizing this common challenge, Double developed Mingo to streamline communication and maximize productivity. Mingo's intuitive, always-online AI technology operates in real-time to gather task details, facilitating seamless hand-offs to executive assistants. The platform proactively prompts executives with clarifying follow-up questions, enabling them to anticipate needs in advance and safeguard their precious time by reducing unnecessary back-and-forth exchanges. Beyond its benefits for executives, Mingo also elevates productivity for their assistants. Once an executive submits a request through the Double app, Mingo proactively generates suggested next steps and recommendations, bolstering the efficiency of executive assistants across all tasks. Mingo achieves this feat by drawing from a comprehensive knowledge base encompassing best practices and how-tos related to various executive assistant tasks, amassed from decades of combined expertise in productivity and delegation. Mingo can even expedite an executive assistant's work by offering research assistance, writing support, and insights on harnessing AI more effectively in their tasks. Double's innovative solutions empower executives and their assistants to achieve more without compromising their work-life balance or risking burnout. The company has recently expanded its offerings to cater to entire leadership teams through its Double for Teams program. Double remains dedicated to delivering new products and services that prioritize human-centric support, further cementing its commitment to revolutionizing the future of work. About Double Double, based in Brooklyn, NY, is a flexible remote assistant service designed to address the evolving demands of the contemporary work landscape. Committed to its mission of reclaiming valuable time for clients, the company combines the power of human support, cutting-edge technology, and efficient delegation strategies to streamline daily tasks. With a growing clientele comprising nearly a thousand customers spanning the United States and France, it caters to businesses of all sizes. To date, Double's dedicated team of executive assistants has successfully reclaimed over 250,000 hours for busy executives, marking the company as a driving force in reshaping modern work dynamics.

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AI Tech

Forethought’s Autoflows: AI-Driven Revolution in Customer Support

Forethought | September 25, 2023

Forethought, a leader in generative AI for customer support, has introduced Autoflows, a groundbreaking autonomous resolution capability for SupportGPT. This innovation marks a significant step towards a more efficient, goal-oriented, AI-centric future in customer support. In the fast-evolving landscape of customer support, AI is positioned to revolutionize the way businesses interact with their clients. However, many large enterprises, despite claiming to be AI-first, still rely on outdated manual workflows rooted in the CRM era. These workflows consume hours of valuable time and often lead to subpar performance, dissatisfied customers, and delayed value realization. Forethought aims to transform this outdated approach into a system of intelligence, redefining what it means to be truly AI-first. Deon Nicholas, CEO and Co-Founder of Forethought, reportedly emphasized, Automation over the past decade has focused heavily on rules and tasks and building manual workflows. But the manual workflow is the Achilles heel of the AI-first future. [Source – Businesswire] Autoflows empower customer support leaders to define desired issue resolutions in plain, natural language, eliminating the need for complex decision trees or predefined rulesets. Leveraging AI, Autoflows accurately predicts user needs and determines efficient steps to achieve these desired outcomes. This efficiency allows support agents to redirect their focus towards more complex issues, transcending simplistic task-oriented processes. Autoflows promise significant benefits: Enhanced Customer Experience: Autoflows facilitate natural conversations with customers, employing generative AI models trained on real agent responses and CRM data. Improved Performance: These flows autonomously resolve customer issues and take actions in alignment with agent guidelines, brand preferences, and user prompts. Reduced Time to Value: Autoflows can be created in minutes using natural language, a stark contrast to the days it typically takes to construct intricate decision trees. Brent Pliskow, GM & VP of Customer Support at Upwork, expressed his appreciation for the innovation. He mentioned that they are constantly seeking to incorporate new generative AI capabilities into their customer support processes, with the goal of improving the customer experience and enhancing internal efficiency. He noted that, when they replaced specific manual workflows with Autoflows, they observed significant time savings compared to the traditional approach of building workflows. Additionally, he reported an increase of up to 27% in customer satisfaction in these particular use cases. About Forethought Founded in 2018, Forethought is a prominent generative AI company specializing in customer service automation. Its solutions seamlessly integrate generative AI powered by large language models (LLMs) to enhance support team efficiency. It offers instant case resolution, predictive case prioritization, and agent assistance, all within a single platform. With $90 million in venture capital funding and accolades like G2's Best Software Products for 2023, Forethought is a leader in the tech industry, headquartered in San Francisco, California.

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Software

Docupace Releases Developer Portal to Catalyze Fintech Innovation

Docupace | September 22, 2023

Docupace Technologies, renowned for its cloud-based fintech solutions tailored to the wealth management sector, has introduced the Developer Portal, a comprehensive hub designed to empower developers. It serves as a one-stop shop for developers to access and utilize Docupace's APIs and associated developer resources. It is set to facilitate innovation and collaboration within the financial technology industry. The Developer Portal provides an extensive array of resources, including detailed API documentation, tutorials, widgets, and practical examples. Developers can also perform tasks such as creating accounts, generating API keys, and testing their applications with Docupace's live APIs through this portal. Liz Pavlik, Executive of Product Management for Docupace, reportedly expressed excitement, stating, We are excited to launch our Developer Portal and make it easier for developers to build innovative solutions using our APIs. Our goal is to provide developers with the resources they need to be successful, and we believe the Developer Portal will play a key role in achieving that goal. [Source – Cision PR Newswire] Key features of the Docupace API Developer Portal: Comprehensive Documentation: In-depth insights into each API, including usage instructions, endpoints, parameters, authentication methods, and response formats. Tutorials and Examples: Resources to assist developers in getting started with Docupace's APIs Self-Service Account Management: Developers can create accounts, generate API keys, and manage subscriptions within the portal. Live API Testing: A platform for developers to test their applications against live APIs Interactive Code Samples: Real-world code samples in multiple programming languages to aid integration with the Docupace Platform. Robust Testing Environment: Controlled sandbox environment for efficient code validation and troubleshooting. Community Collaboration: A platform for developers to discuss, share knowledge, and collaborate on projects Matt Fields, Vice President of Research and Development at Docupace, affirmed the company's commitment to ongoing development and encouraged developers to provide feedback and suggestions through the portal's AI chatbot. About Docupace Docupace, headquartered in Los Angeles, California, is a leading digital operations technology provider specializing in streamlining and digitizing processes for wealth management firms. Its secure, cloud-based Docupace Platform offers solutions for client onboarding, document management, advisor transitions, cybersecurity, and regulatory compliance. With a focus on efficiency and compliance, Docupace serves a diverse range of financial firms, including some of the industry's largest players. Its expertise lies in web-based solutions, imaging, workflow management, and SaaS offerings, making them a valuable partner for financial services organizations seeking operational enhancements.

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AI Tech

Double Introduces AI Delegation Tool to Empower Busy Executives

Double | September 18, 2023

Double, the versatile remote assistant service designed to cater to the needs of executives, has recently introduced Mingo. Mingo, an AI-powered delegation companion, is tailored for the hectic schedules of executives and their remote assistants. Leveraging cutting-edge AI technology, Mingo ensures that crucial tasks are recorded, distills essential details from requests, and offers suggestions for the next steps to be taken by the assistant. With Mingo in their toolkit, executives utilizing Double can allocate their focus and energy to critical bottom-line responsibilities, knowing that their assistants possess all the requisite information to execute delegated tasks with precision. Mingo's debut comes at a moment when a staggering three out of four executives grapple with heavy workloads and an acute shortage of time to tackle top hurdles in their professional duties. While productivity applications and recently launched AI assistant services are available, they often fall short of providing the personalized attention, contextual understanding, and nuanced support that executives typically receive from human assistants. Double aims to bridge this gap with its AI-enabled executive assistant approach, empowering executives to enhance their productivity and significantly impact their work hours. Even the most skilled executive assistants, along with well-intentioned executives, occasionally contend with vague task parameters, resulting in multiple follow-up discussions that impede efficient execution. Recognizing this common challenge, Double developed Mingo to streamline communication and maximize productivity. Mingo's intuitive, always-online AI technology operates in real-time to gather task details, facilitating seamless hand-offs to executive assistants. The platform proactively prompts executives with clarifying follow-up questions, enabling them to anticipate needs in advance and safeguard their precious time by reducing unnecessary back-and-forth exchanges. Beyond its benefits for executives, Mingo also elevates productivity for their assistants. Once an executive submits a request through the Double app, Mingo proactively generates suggested next steps and recommendations, bolstering the efficiency of executive assistants across all tasks. Mingo achieves this feat by drawing from a comprehensive knowledge base encompassing best practices and how-tos related to various executive assistant tasks, amassed from decades of combined expertise in productivity and delegation. Mingo can even expedite an executive assistant's work by offering research assistance, writing support, and insights on harnessing AI more effectively in their tasks. Double's innovative solutions empower executives and their assistants to achieve more without compromising their work-life balance or risking burnout. The company has recently expanded its offerings to cater to entire leadership teams through its Double for Teams program. Double remains dedicated to delivering new products and services that prioritize human-centric support, further cementing its commitment to revolutionizing the future of work. About Double Double, based in Brooklyn, NY, is a flexible remote assistant service designed to address the evolving demands of the contemporary work landscape. Committed to its mission of reclaiming valuable time for clients, the company combines the power of human support, cutting-edge technology, and efficient delegation strategies to streamline daily tasks. With a growing clientele comprising nearly a thousand customers spanning the United States and France, it caters to businesses of all sizes. To date, Double's dedicated team of executive assistants has successfully reclaimed over 250,000 hours for busy executives, marking the company as a driving force in reshaping modern work dynamics.

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