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June is Pride Month—a time for us to come together to bring visibility and belonging, and celebrate the diverse set of experiences, perspectives, and identities of the LGBTQ+ community. This month, Lindsey Scrase, Managing Director, Global SMB and Startups at Google Cloud, is showcasing conversations with startups led by LGBTQ+ founders and how they use Google Cloud to grow their businesses. This feature highlights bunny.money and its founders, Fabien Lamaison, CEO, Thomas Ramé, Technology Lead, and Cyril Goust, Engineering Lead. Lindsey: Thanks Fabien, Thomas, and Cyril. It’s great to connect with you and talk about bunny.money. I love how you’re bringing a creative twist to fintech and giving back to communities. What inspired you to found the company?Fabien: One of my favorite childhood toys was an old-fashioned piggy bank. I remember staring at it and trying to figure out how much of my allowance should be saved, spent, or given to charity. As you can imagine, there were lots of ideas racing through my mind but saving and giving back were always important to me. Years later, I realized I could combine my passions for banking, technology, and helping others by creating a fintech service that makes it easy for people to save while donating to their favorite causes.Fabien Lamaison, CEO of bunny.moneyLindsey: My brothers and I did something similar where we allocated a portion of any money we made as kids to giving. And I too had a piggy bank – a beautiful one that could only be opened by breaking it. Needless to say it was a good saving mechanism! It’s inspiring to see you carrying your personal value forward into bunny.money to help others do the same. Tell us more about bunny.money?Fabien: bunny.money plays with the concept of reimagining saving—and offers a way to positively disrupt conventional banking. For us bunnybankers, financial and social responsibility go hand in hand. We empower people to build more sustainable, inclusive financial futures. Looking ahead, we not only want to help people set up recurring schedules for saving and donating, but also offer more options for socially responsible investing and help companies better match employee donations to charitable causes and build out retirement plans.Lindsey: It sounds like you’re not only disrupting traditional banking services but also how people manage their finances. How does bunny.money serve its customers?Fabien: bunny.money is a fintech company founded on the principles of providing easy, free, and ethical banking services. Our comprehensive banking platform enables customers to quickly open savings wallet and schedule recurring deposits.Thomas: bunny.money is also a fintech bridge that connects people and businesses to the communities and causes they care about. With bunny.money, customers can make one-time or recurring donations to the nonprofits of their choice. bunny.money doesn’t charge recipients fees to process donations. We give customers the option of offering us a tip, but it’s not required.Lindsey: So with bunny.money, what are some of the nonprofits people can donate to?Fabien: Over 30 organizations have already joined bunny.money’s nonprofit marketplace, includingStartOut,TurnOut,Trans Lifeline, and Techqueria. Some are seeing donations increase by up to 20 percent as they leverage bunny.money to gamify fundraising, promote social sharing, and encourage micro-donations from their members and supporters.Cyril: bunny.money also helps people discover local causes and nonprofits such as food banks requesting volunteers, parks that need to be cleaned, and mentoring opportunities. I’m particularly excited to see bunny.money help people build a fairer, greener society by donating to environmental nonprofits, including, Carbon Lighthouse,Sustainable Conservation, Public Land Water Association, back2earth andFARMS. We also decided to “lead by the example” and pledge to give 1% of our revenues to 1% for the Planet.Lindsey: Given your business and the services you offer, I imagine you’ve encountered immense complexity along the way. What were some of the biggest challenges that you had to overcome?Fabien: One of our biggest challenges was helping people understand saving for good, and purpose-led banking, which is a relatively new idea in fintech. Although there are plenty of mobile banking apps, most don’t offer an easy way for people to improve their personal finances and donate to their favorite causes in one convenient place.Cyril: On the technical side, we needed to comply with strict industry regulations, including all applicable requirements under the Bank Secrecy Act and the USA PATRIOT Act. These regulations protect sensitive financial data and help fight against fraudulent activities such as money laundering.Lindsey: Can you talk about how Google Cloud is helping you address these challenges? Thomas: Protecting client data is a top priority for us, so we built bunny.money on thehighly secure-by-design infrastructure of Google Cloud. Google Cloud automatically encrypts data in transit and at rest, and the solutions comply with all major international security standards and regulations right out of the box. Although we serve customers in the U.S. today, Google Cloud distributed data centers will allow us to meet regional security requirements and eventually reach customers worldwide with quality financial services.Thomas Ramé, Technology Lead at bunny.moneyFabien: We wanted to build a reliable, feature-rich fintech platform and design a responsive mobile app with an intuitive user interface (UI). We knew from experience that Google Cloud is easy to use and offers integrated tools, APIs, and solutions. We also wanted to tap into the deep technical knowledge of theGoogle for Startups team to help us scale bunny.money and affordably trial different solutions with Google for Startups Cloud Program credits.Cyril: As aCertified Benefit Corporation™ (B Corp™), it is also important for us to work with companies that align with the values we champion such as diversity and environmental sustainability. Google Cloud iscarbon neutral and enables us to accuratelymeasure, report, and reduce our cloud carbon emissions. Lindsey: This is exactly how we strive to support startups at all stages – with the right technology, offerings, and support to help you scale quickly and securely, all while being the cleanest cloud in the industry. Can you go into more detail about the Google Cloud solutions you use—and how they all come together to support your business and customers? Fabien: Our save for good® mobile app enables customers to securely create accounts, verify identities, and connect to external banks in just under four minutes. Thomas: With Google Cloud, bunny.money consistently delivers a reliable, secure, and seamless banking experience. Since recently launching our fintech app, we’ve already seen an incredible amount of interest in our services that enable people to grow financially while contributing to causes they are passionate about. Right now, we’re seeing customers typically allocate about 10 percent of each deposit to their favorite charities.Cyril: The extensive Google Cloud technology stack helps us make it happen. We can useBigQuery to unlock data insights,Cloud SQL to seamlessly manage relational database services, andGoogle Kubernetes Engine (GKE) to automatically deploy and scale Kubernetes. These solutions enable us to cost-effectively scale bunny.money and build out a profitable fintech platform.Cyril Goust, Engineering Lead at bunny.moneyThomas: In addition to the solutions Cyril mentioned, we useCloud Scheduler to manage cron job services,Dataflow to unify stream and batch data processing, andContainer Registry to securely store Docker container images. We’re always innovating, and Google Cloud helps our small team accelerate the development and deployment of new services.Lindsey: It’s exciting to hear your story and the many different ways that Google Cloud technology has been able to support you along the way. You’re creating something that affects change on many levels—from how people save and give to how businesses and nonprofits can engage.Since it is also Pride month, I want to change focus for a minute and talk about how being part of the LGBTQ+ community impacted your approach to starting bunny.money?Fabien: I believe we all belong to several communities (family, friends “tribes,” sports, group of interests) that are different layers of our own identity and way of life. I’m part of the LGBTQ+ community, and I’m also an immigrant for example. I’m now a French-American, as is my husband, and we live in San Francisco. But even as a couple, we still had to live apart for several years—he in Paris and I in San Francisco—as we worked through issues with his U.S. work visa (same sex weddings were not possible at that time at the federal level, we couldn’t be under the same visa application).Fortunately, the LGBTQ+ community can be like an extended family, both professionally and personally. Personally, I’ve had the support of friends as my husband and I dealt with immigration and work challenges. And professionally, I’ve experienced incredible support in the startup world with nonprofits such asStartOut, which provides key resources to help LGBTQ+ entrepreneurs grow their businesses.Lindsey: I can only imagine the emotional toll that being apart created for you and your husband and I’m so glad that it eventually worked out. My wife is Austrian and while we are fortunate to be here together, this intersectionality has created an additional layer of complexity for us over the years as we have started a family. Do you have any advice for others in the LGBTQ+ community looking to start and grow their own companies? You mentioned StartOut, and I know there are additional organizations LGBTQ+ entrepreneurs can turn to for help, includingLesbians who Tech,Out in Tech,High Tech Gays (HTG) – Queer Silicon Valley, andQueerTech NYC (Meetup).Fabien: I would suggest really exploring what you’re passionate about. I’ve enjoyed focusing on saving and finances since I was young and have always been passionate about giving back. Being part of the LGBTQ+ community—or really any community that’s viewed as an “outsider”—gives you the opportunity to think differently. When you bring your passion and life experiences together, you can start to imagine new ways of doing things. By engaging in your communities, it can be easier to find others who share your experiences, interests, and even values. You bring the best from each world.Since LGBTQ+ founders and entrepreneurs might belong to several groups, it’s good to explore all available avenues and resources, including the organizations you mentioned earlier. We can always learn and accomplish more when we work together. I’ve experienced that both in the LGTBQ+, immigrant and Fintech communities.Lindsey: The importance of community underlies so many aspects of your identity as a founder, as someone who has moved to the US from France, and as a member of the LGBTQ+ community. I’m so glad that you’ve sought out – and received – support along the way. I agree it’s so important for others to seek out this community and support. And to close, would you be able to share any next steps for bunny.money?Fabien: We’re looking forward to helping customers build more sustainable and inclusive financial futures on our platform. We’ll continue contributing to positive change in the world by rolling out new AI-powered services to enable ethical investing and personalized giving and impact programs. As we build this first banking app for personal and workplace giving, our goal is to benefit all communities by bridging the gap between businesses and people—which is why we’re excited to continue working with partners like Google for Startups andGV (GV offers us valuable mentor sessions during our accelerator program at StartOut).If you want to learn more about how Google Cloud can help your startup, visit our pagehere to get more information about our program, and sign up for our communications to get a look at our community activities, digital events, special offers, and more.Related ArticlePride Month: Q&A with Beepboop founders about more creative, effective approaches to learning a new languageRead how Beepboop democratizes language instruction by helping students learn to speak Spanish and English in dynamic, fun environments l…Read Article
Quelle: Google Cloud Platform

22. Juni 2022

da Agency

Responsible AI investments and safeguards for facial recognition

A core priority for the Cognitive Services team is to ensure its AI technology, including facial recognition, is developed and used responsibly. While we have adopted six essential principles to guide our work in AI more broadly, we recognized early on that the unique risks and opportunities posed by facial recognition technology necessitate its own set of guiding principles.

To strengthen our commitment to these principles and set up a stronger foundation for the future, Microsoft is announcing meaningful updates to its Responsible AI Standard, the internal playbook that guides our AI product development and deployment. As part of aligning our products to this new Standard, we have updated our approach to facial recognition including adding a new Limited Access policy, removing AI classifiers of sensitive attributes, and bolstering our investments in fairness and transparency.

Safeguards for responsible use

We continue to provide consistent and clear guidance on the responsible deployment of facial recognition technology and advocate for laws to regulate it, but there is still more we must do.

Effective today, new customers need to apply for access to use facial recognition operations in Azure Face API, Computer Vision, and Video Indexer. Existing customers have one year to apply and receive approval for continued access to the facial recognition services based on their provided use cases. By introducing Limited Access, we add an additional layer of scrutiny to the use and deployment of facial recognition to ensure use of these services aligns with Microsoft’s Responsible AI Standard and contributes to high-value end-user and societal benefit. This includes introducing use case and customer eligibility requirements to gain access to these services. Read about example use cases, and use cases to avoid, here. Starting June 30, 2023, existing customers will no longer be able to access facial recognition capabilities if their facial recognition application has not been approved. Submit an application form for facial and celebrity recognition operations in Face API, Computer Vision, and Azure Video Indexer here, and our team will be in touch via email.

Facial detection capabilities (including detecting blur, exposure, glasses, head pose, landmarks, noise, occlusion, and facial bounding box) will remain generally available and do not require an application.

In another change, we will retire facial analysis capabilities that purport to infer emotional states and identity attributes such as gender, age, smile, facial hair, hair, and makeup. We collaborated with internal and external researchers to understand the limitations and potential benefits of this technology and navigate the tradeoffs. In the case of emotion classification specifically, these efforts raised important questions about privacy, the lack of consensus on a definition of “emotions,” and the inability to generalize the linkage between facial expression and emotional state across use cases, regions, and demographics. API access to capabilities that predict sensitive attributes also opens up a wide range of ways they can be misused—including subjecting people to stereotyping, discrimination, or unfair denial of services.

To mitigate these risks, we have opted to not support a general-purpose system in the Face API that purports to infer emotional states, gender, age, smile, facial hair, hair, and makeup. Detection of these attributes will no longer be available to new customers beginning June 21, 2022, and existing customers have until June 30, 2023, to discontinue use of these attributes before they are retired.

While API access to these attributes will no longer be available to customers for general-purpose use, Microsoft recognizes these capabilities can be valuable when used for a set of controlled accessibility scenarios. Microsoft remains committed to supporting technology for people with disabilities and will continue to use these capabilities in support of this goal by integrating them into applications such as Seeing AI.

Responsible development: improving performance for inclusive AI

In line with Microsoft’s AI principle of fairness and the supporting goals and requirements outlined in the Responsible AI Standard, we are bolstering our investments in fairness and transparency. We are undertaking responsible data collections to identify and mitigate disparities in the performance of the technology across demographic groups and assessing ways to present this information in a way that would be insightful and actionable for our customers.

Given the potential socio-technical risks posed by facial recognition technology, we are looking both within and beyond Microsoft to include the expertise of statisticians, AI/ML fairness experts, and human-computer interaction experts in this effort. We have also consulted with anthropologists to help us deepen our understanding of human facial morphology and ensure that our data collection is reflective of the diversity our customers encounter in their applications.

While this work is underway, and in addition to the safeguards described above, we are providing guidance and tools to empower our customers to deploy this technology responsibly. Microsoft is providing customers with new tools and resources to help evaluate how well the models are performing against their own data and to use the technology to understand limitations in their own deployments. Azure Cognitive Services customers can now take advantage of the open-source Fairlearn package and Microsoft’s Fairness Dashboard to measure the fairness of Microsoft’s facial verification algorithms on their own data—allowing them to identify and address potential fairness issues that could affect different demographic groups before they deploy their technology. We encourage you to contact us with any questions about how to conduct a fairness evaluation with your own data.

We have also updated the transparency documentation with guidance to assist our customers to improve the accuracy and fairness of their systems by incorporating meaningful human review to detect and resolve cases of misidentification or other failures, by providing support to people who believe their results were incorrect, and by identifying and addressing fluctuations in accuracy due to variation in operational conditions.

In working with customers using our Face service, we also realized some errors that were originally attributed to fairness issues were caused by poor image quality. If the image someone submits is too dark or blurry, the model may not be able to match it correctly. We acknowledge that this poor image quality can be unfairly concentrated among demographic groups.

That is why Microsoft is offering customers a new Recognition Quality API that flags problems with lighting, blur, occlusions, or head angle in images submitted for facial verification. Microsoft also offers a reference app that provides real-time suggestions to help users capture higher-quality images that are more likely to yield accurate results.

To leverage the image quality attribute, users need to call the Face Detect API. See the Face QuickStart to test out the API.

Looking to the future

We are excited about the future of Azure AI and what responsibly developed technologies can do for the world. We thank our customers and partners for adopting responsible AI practices and being on the journey with us as we adapt our approach to new responsible AI standards and practices. As we launch the new Limited Access policy for our facial recognition service, in addition to new computer vision features, your feedback will further advance our understanding, practices, and technology for responsible AI.

Learn more at the Limited Access FAQ.
Quelle: Azure

22. Juni 2022

da Agency

See how 3 industry-leading companies are driving innovation in a new episode of Inside Azure for IT

I had the awesome opportunity to talk with a few people innovating with some of the most exciting next-generation tech in our latest episode of the Inside Azure for IT fireside chat series. Many of us, myself included, spend a lot of time focused on challenges that need to be addressed today—in this minute—leaving less time for creativity and longer-range planning. The same is true for many organizations. When businesses are faced with downtime, traditional hardware restrictions, or have to adapt quickly to new changes afoot, it can limit productivity and stifle innovation.

What we hear from IT leaders is that digital transformation becomes a reality when they can go from doing their job despite technology limitations to innovating and delivering on priorities because of the technology they’re using—specifically global, cloud-based infrastructure.

In this episode, you’ll get a behind-the-scenes look at how three companies are using cutting-edge technologies like high-performance computing, Quantum, and AI to solve complex challenges, power innovation, and generate new kinds of business impact.

Driving innovation across industries with Azure

The episode is divided into three separate segments so you can watch them individually on-demand, at your convenience.

Part 1: Jeremy Smith and Karla Young on how Jellyfish Pictures virtualized their entire animation and visual effects studio with Azure

In this segment, you’ll hear from Jeremy Smith, CTO, and Karla Young, Head of PR, Marketing, and Communications at Jellyfish Pictures about how they create the amazing visuals we see in movies like How to Train Your Dragon: Homecoming, or some of the recent Star Wars films—both big favorites for my family! Using Azure high-performance computing to accelerate image rendering, they can spin up tens of thousands of cores at a moment’s notice and manage all that rich content securely in a single place, without replication.
Watch now: Virtualizing animation with Azure high-performance computing.

Part 2: Anita Ramanan and Viktor Veis on using quantum computing to address a complex scheduling challenge for NASA’s Jet Propulsion Laboratory

In the second segment, I’m joined by members of the Azure Quantum team—Anita Ramanan, Technical Program Manager Lead for Optimization in Azure Quantum, and Viktor Veis, Azure Quantum Group Software Engineering Manager—to talk about a project they worked on with NASA’s Jet Propulsion Laboratory. They share how they used quantum-inspired algorithms to create schedules for spacecraft communications in minutes rather than hours—and how Azure Quantum can address similar challenges in almost every industry, from manufacturing to healthcare.
Watch now: A quantum-inspired approach to scheduling communications in space.

Part 3: Alex Oelling on how Volocopter is powering an urban air mobility ecosystem of self-flying air taxis and drone services with Azure infrastructure and AI

In the third segment, I chat with Alex Oelling, Chief Digital Officer at Volocopter about how they are bringing urban air travel to life in major cities. A true pioneer in providing air taxi and drone services in urban environments, Volocopter is building a cloud-based solution to work with smart cities and existing mobility operations using Azure infrastructure and AI.
Watch now: Pioneering urban air travel in major cities with Azure infrastructure and AI.

When we launched Inside Azure for IT last July, our goal was to create a place where cloud professionals could come to learn Azure best practices and insights that would help them transform their IT operations. Whether you’ve tuned in for our live ask-the-experts sessions, watched deep-dive skilling videos, or joined us for fireside chats—we want to say "thank you" for engaging with us and bringing us your hardest questions.

Stay current with Inside Azure for IT

Beyond this latest episode, there are many more technical and cloud-skilling resources available through Inside Azure for IT. Learn more about empowering an adaptive IT environment with best practices and resources designed to enable productivity, digital transformation, and innovation. Take advantage of technical training videos and learn about implementing these scenarios.

Watch the free Azure Hybrid, Multicloud, and Edge Day event on-demand.
Watch past episodes of the Inside Azure for IT fireside chats.
Watch part 1: Virtualizing animation with Azure high-performance computing.
Watch part 2: A quantum-inspired approach to scheduling communications in space.
Watch part 3: Pioneering urban air travel in major cities with Azure infrastructure and AI.

Quelle: Azure

22. Juni 2022

da Agency

Securing the Software Supply Chain: Atomist Joins Docker

I’m excited to share some big news: Atomist is joining Docker. I know our team will thrive in its new home, and look forward to taking the great stuff we’ve built to a much larger audience.
I’ve devoted most of my career to trying to improve developer productivity and the development experience. Thus it’s particularly pleasing to me that Atomist is becoming part of a company that understands and values developers and has transformed developer experience for the better over the last 10 years. Docker’s impact on how we work has been profound and varied. Just a few of the ways I use it nearly every day: quickly spinning up and trying out a complex stack on my laptop without having to dread uninstallation; creating and destroying a database instance in seconds during CI to check the validity of a schema; confidently deploying my own code and third party products to production. Docker is both integral to development and a vital part of deployment. This is rare and makes it core to how we work.

What does this acquisition mean for users and customers?
First, Atomist’s technology can help Docker provide additional value throughout the delivery lifecycle. Docker will integrate Atomist’s rich understanding of the secure software supply chain into its products. To start with, this will surface in sophisticated reporting and remediation of container vulnerabilities. But that is just the start. As deployed software becomes more and more complex, it’s vital to understand what’s in production deployments and how it evolves over time. Container images are core to this, and Atomist’s ability to make sense of the supply chain both at any point in time and as it changes becomes ever more important. Security is just one application for this insight–although arguably the single most critical.
Second, Docker will leverage Atomist’s sophisticated integration platform. Docker (the company) understands that the modern development and delivery environment is heterogeneous. No single vendor can supply best of breed solutions for every stage, and it’s not in customers’ interests for them to do so. Atomist will help Docker customers understand what’s happening through the delivery flow, while preserving their ability to choose the products that best meet their needs.
Finally, Atomist’s automation technology will help Docker improve development experience in a variety of ways, driven by user input.
We’re proud to have built powerful, unique capabilities at Atomist. And we’re ready to take them to a much larger audience as Docker. This is an important point in a longer voyage, with the best yet to come. Want to be the first to experience the new features resulting from this combination? You can sign up for the latest updates by visiting this page.
Quelle: https://blog.docker.com/feed/

21. Juni 2022

da Agency

Commerzbank has Reimagined the Customer Experience with Google Contact Center AI

Digital channels and on-demand banking have led customers to expect instant and helpful access to managing their finances, with minimal friction. Google Cloud built Contact Center AI (CCAI) and DialogFlow CX to help banks and other enterprises deliver these services, replacing phone trees or sometimes confusing digital menus with intelligent chatbots that let customers interact conversationally, just as they would with human agents. Leaders at Germany-based Commerzbank, which operates in over 50 countries, saw potential for these technologies to enhance customer experiences, providing more curated and helpful interactions that would build trust in and satisfaction with their brand. Commerzbank’s implementation speaks to how conversational artificial intelligence (AI) services can help businesses better serve customers, and in this article, we’ll explore their story and what their example means for your business. Commerzbank: Disrupting Customer Interactions with Google’s Contact Center AI and Dialog Flow CXTokyo, 7:00 AM. Vanessa is on a business trip in Japan, closing a new deal for her company, one of Commerzbank´s more than 30,000 corporate customers throughout Germany. She has been preparing for weeks, and is going through her points a final time in a downtown coffee shop. Glancing at her watch, she realizes she must leave immediately to get to the meeting.Intending to pay, she realizes the chip in her credit card is not functioning. Due to the time difference with Germany, Vanessa is now concerned she will not be able to contact someone from customer support. She opens the Commerzbank mobile app and contacts the customer center through chat. The access point she needs is available, but how can it help her most efficiently? Building excellent conversational experiencesCustomers like Vanessa need an answer right away. With that in mind, Commerzbank aims to provide customers with integrated support via the use of chatbots in the quest to deliver efficiency, high quality, and information consistency. This goal is where the Google Cloud virtual agent platform Dialogflow CX comes into play, providing us with an enormous number of features to build conversation dialogue through accurate intent recognition, a robust visual flow creator, and automated testing—all while significantly improving our time to market. In just nine weeks, the Commerzbank team set-up an agile proof-of-value project by developing a chatbot solution designed to deliver a reliable conversation experience. Commerz Direktservices Chatbot Agent is now able to identify the touchpoint the customer is using (App or Web) and detect more than 100 suitable FAQs and answer them properly. The Chatbot Agent also identifies leads and sales prospects, enabling it to provide support on open questions in relation to products and services, thus performing a graceful handover to the human agent with the enrichment of value parameters. Commerz Direktservices has also broadened the ability of the Chatbot to handle different customer types (keyword-based vs. context-based customers) by constructing an intelligent dialog architecture that lets the Chatbot Agent flow elegantly through prompts and intent questioning.Commerzbank has integrated Google Dialogflow CX with Genesys Platform, helping to make use of the full capabilities of the existing contact center infrastructure and more efficiently orchestrate the incoming interactions. A very versatile architecture bridges the potential of Google Cloud with a variety of on-premise applications and components, while also providing system resiliency and supporting data security compliance. The support of the entire Google team has been invaluable to accelerate the bank’s journey to the cloud. Commerzbank is seeing a number of benefits as it expands its AI platform, including:Enhanced ability to deliver innovationImproved operational efficienciesBetter customer experience through reduced wait times and self-serve capabilities, leading to reduced churnGreater productivity for CommerzBank employees who are able to support customer queries with enriched Google CCAI data The creation of an integrated cross-channel strategyGoing beyond support into an active conversational experienceNow, Commerzbank wants to move beyond great customer support to continue to increase the value-add to the customer. Customers like Vanessa are looking for their bank to go the extra mile by optimizing their finances, providing personalized financial products and solutions, and offering more control over their investment portfolio, among other needs. With this in mind, Commerzbank aims to continue moving away from a scenario where chatbots are only passive entities waiting to be triggered, into a new and more innovative one whereby they become an active key enabler of enhanced customer interactions across the customer value chain. Commerzbank is already mapping active dialog paths to: Make tailored product suggestions to prospects, giving them the possibility to acquire a product that suits their particular needsIdentify customer requirements for financing or investment, inviting them to get advice and benefit from the existing opportunitiesGenerate prospects based on the business potential, thus providing the human agents with a framework to prioritize their interactions Commerzbank leaders anticipate the impact of this solution will be significant. It will let the company fulfill the first advisory touchpoint for financial needs and perform a fast conversation hand-over to specialists as soon as the customer requires it. As a result, leaders expect to exponentially increase conversion rates via more fruitful customer journeys.Helping Vanessa with a delightful customer experienceGoing back to Vanessa’s example: how can Commerzbank help Vanessa efficiently? When she contacts support through chat, the chatbot welcomes her and offers help with any question she may have. Vanessa explains the situation and the digital agent explains that delivering a replacement card would take many days, and that the most practical solution would be to activate a virtual debit card, e. g., with Google Pay on her phone. Vanessa gladly accepts this solution, prompting the Chatbot to deliver a short explanation on how to carry out the process, as well as two additional links: one for downloading the Google Pay App from the Google Play Store and another for digital self-service in the Commerzbank App, which she can intuitively use to synchronize the Commerzbank App and Google Pay. After just 5 minutes, Vanessa is able to pay comfortably using her phone and get to her meeting in time. This engagement is how Commerzbank wants to deliver digital customer experiences that fascinate their customers, allowing their customers to perform their daily banking activities faster, better, and easier. To learn more about how Google Cloud AI solutions can help your company, visit the product page or check out this report that explores the total economic impact of Google Cloud CCAI.Related ArticleHSBC deploys Dialogflow, easing call burden on policy expertsHSBC uses AI and machine learning to reduce the time employees spend on manually intensive queries and improve the consistency of policy …Read Article
Quelle: Google Cloud Platform