This document discusses opportunities to leverage artificial intelligence (AI) technologies to transform existing business services. It identifies several business services sectors that are well-suited for AI enablement, including accounting services, third-party logistics, contact centers, property management, travel agencies, and insurance agencies/brokers. These sectors are analyzed based on their market size, growth rates, level of existing technology adoption, and potential high-impact AI use cases. The document argues that early adopters of AI in business services will gain competitive advantages over peers through improved services, automated tasks, and increased productivity.
Generative AI: Past, Present, and Future – A Practitioner's PerspectiveHuahai Yang
Generative AI: Past, Present, and Future – A Practitioner's Perspective
As the academic realm grapples with the profound implications of generative AI
and related applications like ChatGPT, I will present a grounded view from my
experience as a practitioner. Starting with the origins of neural networks in
the fields of logic, psychology, and computer science, I trace its history and
align it within the wider context of the pursuit of artificial intelligence.
This perspective will also draw parallels with historical developments in
psychology. Against this backdrop, I chart a proposed trajectory for the future.
Finally, I provide actionable insights for both academics and enterprising
individuals in the field.
Conversational AI and Chatbot IntegrationsCristina Vidu
Conversational AI and Chatbots (or rather - and more extensively - Virtual Agents) offer great benefits, especially in combination with technologies like RPA or IDP. Corneliu Niculite (Presales Director - EMEA @DRUID AI) and Roman Tobler (CEO @Routinuum & UiPath MVP) are discussing Conversational AI and why Virtual Agents play a significant role in modern ways of working. Moreover, Corneliu will be displaying how to build a Workflow and showcase an Accounts Payable Use Case, integrating DRUID and UiPath Robots.
📙 Agenda:
The focus of our meetup is around the following areas - with a lot of room to discuss and share experiences:
- What is "Conversational AI" and why do we need Chatbots (Virtual Agents);
- Deep-Dive to a DRUID-UiPath Integration via an Accounts Payable Use Case;
- Discussion, Q&A
Speakers:
👨🏻💻 Corneliu Niculite, Presales Director - EMEA DRUID AI
👨🏼💻 Roman Tobler, UiPath MVP, Co-Founder & CEO Routinuum GmbH
This session streamed live on March 8, 2023, 16:00 PM CET.
Check out our upcoming events at: community.uipath.com
Contact us at: community@uipath.com
Generative AI: Redefining Creativity and Transforming Corporate LandscapeOsaka University
The advent of Generative AI is redefining the boundaries of creativity and markedly transforming the corporate landscape. One of the pioneering technologies in this domain is the Reinforcement Learning from Human Feedback (RLHF). Combined with advancements in LLM (Language Model) has emerged as a notable player. LLM offers two primary interpretations: firstly, as a machine capable of generating highly plausible texts in response to specific directives, and secondly, as a multi-lingual knowledge repository that responds to diverse inquiries.
The ramifications of these technologies are widespread, with profound impacts on various industries. They are catalyzing digital transformation within enterprises, driving significant advancements in research and development, especially within the realms of drug discovery and healthcare. In countries like Japan, Generative AI is heralded for its potential to bolster creativity. The value generated by such AI-driven innovations is estimated to be several trillion dollars annually. Intriguingly, about 75% of this value, steered by creative AI applications, is predominantly concentrated within customer operations, marketing and sales, software engineering, and R&D. These applications are pivotal in enhancing customer interactions, generating innovative content for marketing campaigns, and even crafting computer code from natural language prompts. The ripple effect of these innovations is palpable in sectors like banking, high-tech, and life sciences.
However, as with every innovation, there are certain setbacks. For instance, the traditional business model of individualized instruction, as seen in the context of professors teaching basic actions, is on the brink of obsolescence.
Looking ahead, the next five years pose pertinent questions about humanity's role amidst this technological evolution. A salient skillset will encompass the adept utilization of generative AI, paired with the discernment to accept or critique AI-generated outputs. Education, as we know it, will be reimagined. The evaluative focus will transition from verifying a student's independent work to gauging their ability to produce content surpassing their AI tools. Generative AI's disruptive nature will compel us to re-evaluate human value, reshaping the paradigms of corporate management and educational methodologies
🔹How will AI-based content-generating tools change your mission and products?
🔹This complimentary webinar [ON-DEMAND] explores multiple use cases that drive adoption in their early adopter customer base to provide product leaders with insights into the future of generative AI-powered businesses, and the potential generative AI holds for driving innovation and improving business processes.
In this session, you'll get all the answers about how ChatGPT and other GPT-X models can be applied to your current or future project. First, we'll put in order all the terms – OpenAI, GPT-3, ChatGPT, Codex, Dall-E, etc., and explain why Microsoft and Azure are often mentioned in this context. Then, we'll go through the main capabilities of the Azure OpenAI and respective usecases that might inspire you to either optimize your product or build a completely new one.
As generative AI adoption grows at record-setting speeds and computing demands increase, hybrid processing is more important than ever. But just like traditional computing evolved from mainframes and thin clients to today’s mix of cloud and edge devices, AI processing must be distributed between the cloud and devices for AI to scale and reach its full potential. In this talk you’ll learn:
• Why on-device AI is key
• Which generative AI models can run on device
• Why the future of AI is hybrid
• Qualcomm Technologies’ role in making hybrid AI a reality
Generative AI: Past, Present, and Future – A Practitioner's PerspectiveHuahai Yang
Generative AI: Past, Present, and Future – A Practitioner's Perspective
As the academic realm grapples with the profound implications of generative AI
and related applications like ChatGPT, I will present a grounded view from my
experience as a practitioner. Starting with the origins of neural networks in
the fields of logic, psychology, and computer science, I trace its history and
align it within the wider context of the pursuit of artificial intelligence.
This perspective will also draw parallels with historical developments in
psychology. Against this backdrop, I chart a proposed trajectory for the future.
Finally, I provide actionable insights for both academics and enterprising
individuals in the field.
Conversational AI and Chatbot IntegrationsCristina Vidu
Conversational AI and Chatbots (or rather - and more extensively - Virtual Agents) offer great benefits, especially in combination with technologies like RPA or IDP. Corneliu Niculite (Presales Director - EMEA @DRUID AI) and Roman Tobler (CEO @Routinuum & UiPath MVP) are discussing Conversational AI and why Virtual Agents play a significant role in modern ways of working. Moreover, Corneliu will be displaying how to build a Workflow and showcase an Accounts Payable Use Case, integrating DRUID and UiPath Robots.
📙 Agenda:
The focus of our meetup is around the following areas - with a lot of room to discuss and share experiences:
- What is "Conversational AI" and why do we need Chatbots (Virtual Agents);
- Deep-Dive to a DRUID-UiPath Integration via an Accounts Payable Use Case;
- Discussion, Q&A
Speakers:
👨🏻💻 Corneliu Niculite, Presales Director - EMEA DRUID AI
👨🏼💻 Roman Tobler, UiPath MVP, Co-Founder & CEO Routinuum GmbH
This session streamed live on March 8, 2023, 16:00 PM CET.
Check out our upcoming events at: community.uipath.com
Contact us at: community@uipath.com
Generative AI: Redefining Creativity and Transforming Corporate LandscapeOsaka University
The advent of Generative AI is redefining the boundaries of creativity and markedly transforming the corporate landscape. One of the pioneering technologies in this domain is the Reinforcement Learning from Human Feedback (RLHF). Combined with advancements in LLM (Language Model) has emerged as a notable player. LLM offers two primary interpretations: firstly, as a machine capable of generating highly plausible texts in response to specific directives, and secondly, as a multi-lingual knowledge repository that responds to diverse inquiries.
The ramifications of these technologies are widespread, with profound impacts on various industries. They are catalyzing digital transformation within enterprises, driving significant advancements in research and development, especially within the realms of drug discovery and healthcare. In countries like Japan, Generative AI is heralded for its potential to bolster creativity. The value generated by such AI-driven innovations is estimated to be several trillion dollars annually. Intriguingly, about 75% of this value, steered by creative AI applications, is predominantly concentrated within customer operations, marketing and sales, software engineering, and R&D. These applications are pivotal in enhancing customer interactions, generating innovative content for marketing campaigns, and even crafting computer code from natural language prompts. The ripple effect of these innovations is palpable in sectors like banking, high-tech, and life sciences.
However, as with every innovation, there are certain setbacks. For instance, the traditional business model of individualized instruction, as seen in the context of professors teaching basic actions, is on the brink of obsolescence.
Looking ahead, the next five years pose pertinent questions about humanity's role amidst this technological evolution. A salient skillset will encompass the adept utilization of generative AI, paired with the discernment to accept or critique AI-generated outputs. Education, as we know it, will be reimagined. The evaluative focus will transition from verifying a student's independent work to gauging their ability to produce content surpassing their AI tools. Generative AI's disruptive nature will compel us to re-evaluate human value, reshaping the paradigms of corporate management and educational methodologies
🔹How will AI-based content-generating tools change your mission and products?
🔹This complimentary webinar [ON-DEMAND] explores multiple use cases that drive adoption in their early adopter customer base to provide product leaders with insights into the future of generative AI-powered businesses, and the potential generative AI holds for driving innovation and improving business processes.
In this session, you'll get all the answers about how ChatGPT and other GPT-X models can be applied to your current or future project. First, we'll put in order all the terms – OpenAI, GPT-3, ChatGPT, Codex, Dall-E, etc., and explain why Microsoft and Azure are often mentioned in this context. Then, we'll go through the main capabilities of the Azure OpenAI and respective usecases that might inspire you to either optimize your product or build a completely new one.
As generative AI adoption grows at record-setting speeds and computing demands increase, hybrid processing is more important than ever. But just like traditional computing evolved from mainframes and thin clients to today’s mix of cloud and edge devices, AI processing must be distributed between the cloud and devices for AI to scale and reach its full potential. In this talk you’ll learn:
• Why on-device AI is key
• Which generative AI models can run on device
• Why the future of AI is hybrid
• Qualcomm Technologies’ role in making hybrid AI a reality
Explore how different industries are embracing the utility of AI to create and deliver new value for their customers and organisation
* Discuss the state of maturity of AI across industries
* Get an appreciation of business posture to AI projects
We also review the utility of AI across several industries including:
* Healthcare
* Newsroom & Journalism
* Travel
* Finance
* Supply Chain / eCommerce / Retail
* Streaming & Gaming
* Transportation
* Logistics
* Manufacturing
* Agriculture
* Defense & Cybersecurity
Part of the What Matters in AI series as published on www.andremuscat.com
This talk overviews my background as a female data scientist, introduces many types of generative AI, discusses potential use cases, highlights the need for representation in generative AI, and showcases a few tools that currently exist.
Digital Transformation is a key imperative for most organizations today. This presentation will cover the key drivers that are compelling businesses to take on Digital Transformation initiatives, and will discuss ways that organizations can accelerate their journey.
Understanding GenAI/LLM and What is Google Offering - Felix GohNUS-ISS
With the recent buzz on Generative AI & Large Language Models, the question is to what extent can these technologies be applied at work or when you're studying and how easy is it to manage/develop your own models? Hear from our guest speaker from Google as he shares some insights into how industries are evolving with these trends and what are some of Google's offerings from Duet AI in Google Workspace to the GenAI App Builder on Google Cloud.
Generative artificial intelligence (AI) models are reinventing communication, content creation, and information access. In this roadmap, presented at Bessemer's annual Seed Summit, Partner Talia Goldberg explores the technological advancements driving AI solutions and how these changes are opening up new promising area of investment.
Learn more about Generative AI:
https://www.bvp.com/atlas/is-ai-gener...
https://www.bvp.com/atlas/roadmap-the...
https://www.bvp.com/atlas/entering-th...
Subscribe for venture insights: https://bessemervp.team/subscribe
About Bessemer Venture Partners —
We help entrepreneurs lay strong foundations to build and forge long-standing companies. With more than 135 IPOs and 200 portfolio companies in the enterprise, consumer and healthcare spaces, Bessemer supports founders and CEOs from their early days through every stage of growth. Our global portfolio includes Pinterest, Shopify, Twilio, Yelp, LinkedIn, PagerDuty, DocuSign, Wix, Fiverr and Toast, and has more than $20 billion of assets under management.
Connect with us —
Subscribe to our channel: https://bit.ly/3oVeW4k
Visit our website bvp.com: https://bit.ly/3bzFXaE
Sign up for our newsletter: https://bit.ly/3SoVY3D
Find Bessemer on LinkedIn: https://bit.ly/3zZpGoS
Find Bessemer on Twitter: https://bit.ly/3JsVJAF
Find Bessemer on Instagram: https://bit.ly/3BH8but
Unlocking the Power of Generative AI An Executive's Guide.pdfPremNaraindas1
Generative AI is here, and it can revolutionize your business. With its powerful capabilities, this technology can help companies create more efficient processes, unlock new insights from data, and drive innovation. But how do you make the most of these opportunities?
This guide will provide you with the information and resources needed to understand the ins and outs of Generative AI, so you can make informed decisions and capitalize on the potential. It covers important topics such as strategies for leveraging large language models, optimizing MLOps processes, and best practices for building with Generative AI.
My presentation entitled 'AI, Creativity and Generative Art', presented at the annual symposium for AI students (CKI) at Utrecht University, Fri. June 16th, 2017
How Azure helps to build better business processes and customer experiences w...Maxim Salnikov
Artificial Intelligence is not the future, it is NOW. Cloud technology empowers developers and technology leaders to benefit from AI effectively and responsibly with the models and tools they need. In this session, we go through the portfolio of Azure AI services and run some demos to showcase how AI can improve daily life, safety, productivity, accessibility, and business outcomes.
"You can download this product from SlideTeam.net"
Delve into the exciting world of robotics using these content ready AI PowerPoint Presentation Slides PPT. Utilize the robotics PowerPoint slides to demonstrate the core areas of artificial intelligence including Sensory AI, Physical AI, Cognitive AI, General AI, etc. Take the assistance of this content ready machine intelligence PowerPoint complete deck to reveal reasons for using AI such as elimination of repetitive tasks, automated reporting, etc. Discuss the numerous sectors that have invested in AI like education, transportation & logistics, consumer durables, entertainment, gaming, financial services amongst others. Illustrate the value chain elements of AI like data capture, automation of raw data, solution deployment, training and creation of the ML model using the machine learning PowerPoint presentation. Expound the logic-based and pattern-based AI approaches, in brief, with the help of AI PPT layouts. Showcase the uses of machine learning and counter various challenges in the adoption of AI. Thus download our robotics process automation PPT slideshow and implement leading AI techniques. https://bit.ly/3ITDse6
Leveraging Generative AI & Best practicesDianaGray10
In this event we will cover:
- What is Generative AI and how it is being for future of work.
- Best practices for developing and deploying generative AI based models in productions.
- Future of Generative AI, how generative AI is expected to evolve in the coming years.
For businesses that want to stay relevant in a Digitized Market, it's imperative to consider Digital Transformation. At Cygnet we deliver 100% Agile solutions in line with your business goals
Devoteam itsmf 2021 - from business automation to continuous value-driven i...itSMF Belgium
The race for enterprise business process digitalization is raging. IT is often left behind as enterprise budgets for innovation are shifting towards business teams.
During this session, we will present the challenges and our field-tested approaches to catch-up and how to take this opportunity to create new app factories. All the while using low-code and RPA platforms.
You will discover how to capture business demands, and create an operating model for your IT department to stay in control of the applications being deployed, while bringing value at speed.
Explore how different industries are embracing the utility of AI to create and deliver new value for their customers and organisation
* Discuss the state of maturity of AI across industries
* Get an appreciation of business posture to AI projects
We also review the utility of AI across several industries including:
* Healthcare
* Newsroom & Journalism
* Travel
* Finance
* Supply Chain / eCommerce / Retail
* Streaming & Gaming
* Transportation
* Logistics
* Manufacturing
* Agriculture
* Defense & Cybersecurity
Part of the What Matters in AI series as published on www.andremuscat.com
This talk overviews my background as a female data scientist, introduces many types of generative AI, discusses potential use cases, highlights the need for representation in generative AI, and showcases a few tools that currently exist.
Digital Transformation is a key imperative for most organizations today. This presentation will cover the key drivers that are compelling businesses to take on Digital Transformation initiatives, and will discuss ways that organizations can accelerate their journey.
Understanding GenAI/LLM and What is Google Offering - Felix GohNUS-ISS
With the recent buzz on Generative AI & Large Language Models, the question is to what extent can these technologies be applied at work or when you're studying and how easy is it to manage/develop your own models? Hear from our guest speaker from Google as he shares some insights into how industries are evolving with these trends and what are some of Google's offerings from Duet AI in Google Workspace to the GenAI App Builder on Google Cloud.
Generative artificial intelligence (AI) models are reinventing communication, content creation, and information access. In this roadmap, presented at Bessemer's annual Seed Summit, Partner Talia Goldberg explores the technological advancements driving AI solutions and how these changes are opening up new promising area of investment.
Learn more about Generative AI:
https://www.bvp.com/atlas/is-ai-gener...
https://www.bvp.com/atlas/roadmap-the...
https://www.bvp.com/atlas/entering-th...
Subscribe for venture insights: https://bessemervp.team/subscribe
About Bessemer Venture Partners —
We help entrepreneurs lay strong foundations to build and forge long-standing companies. With more than 135 IPOs and 200 portfolio companies in the enterprise, consumer and healthcare spaces, Bessemer supports founders and CEOs from their early days through every stage of growth. Our global portfolio includes Pinterest, Shopify, Twilio, Yelp, LinkedIn, PagerDuty, DocuSign, Wix, Fiverr and Toast, and has more than $20 billion of assets under management.
Connect with us —
Subscribe to our channel: https://bit.ly/3oVeW4k
Visit our website bvp.com: https://bit.ly/3bzFXaE
Sign up for our newsletter: https://bit.ly/3SoVY3D
Find Bessemer on LinkedIn: https://bit.ly/3zZpGoS
Find Bessemer on Twitter: https://bit.ly/3JsVJAF
Find Bessemer on Instagram: https://bit.ly/3BH8but
Unlocking the Power of Generative AI An Executive's Guide.pdfPremNaraindas1
Generative AI is here, and it can revolutionize your business. With its powerful capabilities, this technology can help companies create more efficient processes, unlock new insights from data, and drive innovation. But how do you make the most of these opportunities?
This guide will provide you with the information and resources needed to understand the ins and outs of Generative AI, so you can make informed decisions and capitalize on the potential. It covers important topics such as strategies for leveraging large language models, optimizing MLOps processes, and best practices for building with Generative AI.
My presentation entitled 'AI, Creativity and Generative Art', presented at the annual symposium for AI students (CKI) at Utrecht University, Fri. June 16th, 2017
How Azure helps to build better business processes and customer experiences w...Maxim Salnikov
Artificial Intelligence is not the future, it is NOW. Cloud technology empowers developers and technology leaders to benefit from AI effectively and responsibly with the models and tools they need. In this session, we go through the portfolio of Azure AI services and run some demos to showcase how AI can improve daily life, safety, productivity, accessibility, and business outcomes.
"You can download this product from SlideTeam.net"
Delve into the exciting world of robotics using these content ready AI PowerPoint Presentation Slides PPT. Utilize the robotics PowerPoint slides to demonstrate the core areas of artificial intelligence including Sensory AI, Physical AI, Cognitive AI, General AI, etc. Take the assistance of this content ready machine intelligence PowerPoint complete deck to reveal reasons for using AI such as elimination of repetitive tasks, automated reporting, etc. Discuss the numerous sectors that have invested in AI like education, transportation & logistics, consumer durables, entertainment, gaming, financial services amongst others. Illustrate the value chain elements of AI like data capture, automation of raw data, solution deployment, training and creation of the ML model using the machine learning PowerPoint presentation. Expound the logic-based and pattern-based AI approaches, in brief, with the help of AI PPT layouts. Showcase the uses of machine learning and counter various challenges in the adoption of AI. Thus download our robotics process automation PPT slideshow and implement leading AI techniques. https://bit.ly/3ITDse6
Leveraging Generative AI & Best practicesDianaGray10
In this event we will cover:
- What is Generative AI and how it is being for future of work.
- Best practices for developing and deploying generative AI based models in productions.
- Future of Generative AI, how generative AI is expected to evolve in the coming years.
For businesses that want to stay relevant in a Digitized Market, it's imperative to consider Digital Transformation. At Cygnet we deliver 100% Agile solutions in line with your business goals
Devoteam itsmf 2021 - from business automation to continuous value-driven i...itSMF Belgium
The race for enterprise business process digitalization is raging. IT is often left behind as enterprise budgets for innovation are shifting towards business teams.
During this session, we will present the challenges and our field-tested approaches to catch-up and how to take this opportunity to create new app factories. All the while using low-code and RPA platforms.
You will discover how to capture business demands, and create an operating model for your IT department to stay in control of the applications being deployed, while bringing value at speed.
Κεντρική Ομιλία: Κωστής Χλουβεράκης, Επικεφαλής Γενικής Διεύθυνσης Digital Banking, Eurobank
Τίτλος Ομιλίας: «Καινοτομία στην σημερινή Τράπεζα: Προκλήσεις, Τάσεις και Προοπτικές»
[Webinar Slides] Maximizing Workforce Capacity - Proven Practices for Saving ...AIIM International
Learn how these Intelligent Automation best practices can help you save time, money, and effort by freeing up your manually-driven and paper-based processes.
Want to follow along with the webinar replay? Download it here for FREE: https://info.aiim.org/intelligent-automation-proven-practices-for-saving-time-money-and-effort
Integration allows rapid business reconfiguration to create new business models and ecosystems while continually optimizing customer experience and business operations.
Are you exploring the best way for your business to save expenses, enhance margin, or reinvest in the coming years? Check out the top technological advancements in business that are beneficial for business expansion and that result in a technology roadmap that has an impact on a number of the organization's strategic goals.
For more information, see: https://www.albiorixtech.com/blog/technology-trends-in-business/
#technology #technologytrends #webappdevelopment #mobileappdevelopment #softwaredevelopment
Digitalisation from the back office to the factory floorStephanie Locke
AI is a huge set of tools for making computers behave intelligently - Andrew Ng
70% of implementations fail to meet their stated aims. Following the holistic triple transformation approach taken by ‘lighthouses’ seems like a sensible approach to take. Industry 4.0: Reimagining manufacturing operations after COVID-19 McKinsey
Get started with AI:
- Start small with pilot projects to gain momentum
- Strong business case
- Build a team around this
- Provide broad training
- Longer-term develop an AI strategy that aligns with your business objectives
AI & Robotic Process Automation (RPA) to Digitally Transform Your EnvironmentCprime
This presentation will help you understand how to think about emerging technologies for your Business. You receive context and a simple framework for how to think about RPA as an enabler to transform your customer experience and business operations.
No business — regardless of industry or size — is immune to digital disruption. It’s up to business leaders to decide: Be the disruptor or be defeated by one. But what does the path to digital transformation look like? While the journey is unique for every business, this is a strategic framework crafted by Insight’s Digital Innovation team to ensure success.
Learn more here: http://ms.spr.ly/6008rNbQg
Leverage cutting edge cognitive automation ml and rpa to elevate business valueEclature
Automation is revolutionizing the way business functions are conducted. Together with artificial intelligence (AI) and robotics, automating events, processes and tasks offer cross-enterprise IT visibility that results in improved productivity and superior user experiences.
Leveraging Applied AI to Accelerate Digital Transformation and Maximize Busin...Apttus
Enterprise business is taking a significant leap forward in its ability to maximize business outcomes using Applied AI – conversational and cognitive technologies. Leading organizations are accelerating digital transformation through machine learning, artificial intelligence and virtual assistants designed to streamline and accelerate revenue generation processes.
In this presentation for executives and decision makers, we’ll share insights from the soon-to-be-published Harvard Business Review study on using Applied AI to accelerate B2B Quote-to-Cash processes and commerce. We’ll examine Applied AI emerging trends, best practices, and barriers to adoption.
The year 2016, will see many organizations and enterprises rapidly moving towards adoption of the digitalization and digital business.
This presentation highlights what would be the top 10 trends and directions that enterprises will increasingly adopt to ensure superior customer experiences, competitive advantage and/or IT optimization for improved services and cost takeout.
Industry 4.0 is the name of the next industrial revolution which is fueled by the advancement of digital technologies. It
is dramatically changing how companies engage in business activities. As a result, the disruptive nature of Industry 4.0
demands a reassessment of the requirements for IT. On the one hand, there is the possibility that the responsibilities of Chief Information Officers (CIOs) could be taken over by other executives such as the Chief Digital Officer (CDO) or the Chief Technology Officer (CTO). On the other hand, this
recent development creates entirely new perspectives for positioning themselves and their IT departments
within the business.
The impact of digital technologies is reaching a magnitude at which IT is considered a substantial
business driver, potentially placing CIOs in the driver’s seat.
SmartERP Webinar
Did you know that approximately 55% of work activities can be automated using Robotic Process Automation (RPA) technology? Automating business processes in Finance is now considered a business imperative. RPA enables organizations to power people and automates business operations by leveraging this game-changing technology.
RPA has become one of the most popular choices for improving operational efficiency with tactical automation. 59% of Finance & Accounting leaders believe RPA will make their business more competitive over the next two years.
In this webinar, you will learn how to:
How to utilize RPA to transform your organization
Fix broken manual processes
Integrate RPA with your Finance applications
Easily scale large and often changing logic systems
Perform a vast array of key essential tasks; quickly and precisely
Use RPA with AI, to augment tasks that need human intelligence
Benefits:
Increase productivity across your organization
Enables cost reduction for your organization
Improve your accuracy and increase efficiency
Enhances your customer’s experience
As businesses become more reliant on technology we are witnessing rising demand for tech stack training tools. Check out Catalyst Investors' research report to learn about opportunities in this category.
After companies have made a sale and onboarded a customer, the real work begins. Customer support and customer success efforts are receiving more focus and helping businesses improve the experiences of their customers.
New regulations, rising costs and the consumerization of healthcare are fueling innovation in HCIT. Providers look to update their tech stacks in order to promote patient engagement, interoperability and operational efficiency, as well as to achieve financial success through alternative reimbursement models. Check out this report to learn how Catalyst Investors sees the provider solution landscape evolving.
Global supply chains have been steadily growing in complexity for years – spurred by the proliferation of e-commerce and increasing consumer expectations (widely deemed the “Amazon Effect”). More recently, the COVID-19 pandemic accelerated those pre-existing dynamics and further highlighted the failings of a traditional, siloed, supply chain framework, as many companies found themselves underprepared and slow to respond to a shifting market environment. As a result, businesses have been motivated to re-evaluate their current technology and processes and are seeking solutions that emphasize visibility, adaptability, and automation across the supply chain.
At Catalyst Investors, we believe software and tech-enabled services enabling more efficient supply chain management are poised for outsized growth in the coming years. We are excited to meet and partner with growth stage companies that are driving forces behind more efficient supply chains.
Real estate is the largest asset class in the world and archaic systems and processes establish opportunities for disruption across the ecosystem. Today’s catalysts, which include a macro digital shift, the arrival of 5G, and COVID’s lasting impact on how we live and work, position PropTech for accelerated growth.
In March, we will reach the one-year anniversary of the first COVID lockdowns instituted in the US. Given the milestone, Catalyst Investors assembled this report to reflect upon some of our initial assumptions (https://catalyst.com/research_item/market-opportunities-post-covid-19/) around COVID’s impact on the tech ecosystem. Additionally, as we look towards the end of confinement and return to “normalcy”, we shift our focus to the technology landscape and investment opportunity set on a go forward basis.
Overall, many of our predictions around the future of work and relevant business implications appear to have come to fruition. We’ve seen clear indicators that attitudes are changing around the necessity of business travel and the acceptance of a distributed workforce. Experts estimate that the pandemic has sped up the adoption of digital technologies by several years, leading to a strong and fast-growing opportunity set for tech investors. Also, as the economy begins to reopen, we anticipate a significant amount of recovery opportunities for impacted vertical software players and tech-enabled services.
Evolution of the Software Development Lifecycle and DevOps ToolsCatalyst Investors
The increasing number of DevOps tools coupled with lower barriers to adoption, manifesting themselves through credit card sign-up options for developers and increased interoperability via open APIs, has caused the DevOps software tools market to grow exponentially. There are also a number of favorable trends, many of which Catalyst Investors has observed first-hand through its investments in EDB and Effectual, that are fueling the growth of this market.
The convergence of integrated software, efficient hardware and modern networking infrastructure has created a new technology environment. Industry 4.0 sits at the convergence of these technologies and enables many industries that we actively track. Catalyst Investors’ history in software and TMT is quite relevant to Industry 4.0. We are excited to meet and partner with growth stage companies that are built as Industry 4.0 solutions from the ground up, as well as existing service businesses that can adopt Industry 4.0 technologies as an evolution.
COVID-19 will likely curb future business travel, reduce regulatory barriers for online tools and contribute to a greater appreciation for risk management. It is Catalyst Investors' view that these trends will require significant upgrades to tech infrastructure, including an acceleration of 5G rollouts and cloud transitions. In software, we see meaningful tailwinds in communications software, particularly in telehealth and e-learning. Additionally, Governance, Risk & Compliance software is well positioned for strong growth, most notably in business continuity and 3rd party vendor risk management.
The communications software market is undergoing a dramatic shift from legacy hardware- and network-centric systems to more efficient cloud-based tools that enable businesses to have more meaningful and informed contextual conversations with their customers.
Catalyst has seen this first-hand through its investment in Weave (recently named to the 2019 Forbes Cloud 100). For example, a common phone call between a dentist office using Weave and their patient has been transformed from “while I have you on the phone, is there anyone else in your family that needs an appointment?” to “while I have you on the phone, I see your children haven’t had appointments in over a year – should we get them scheduled next month as well?”
Weave’s solutions are just one example of how contextual communications are having an impact on how businesses communicate internally and with their customers – Catalyst believes we’re in the early days of a generational transformation and is excited to partner with more vertically and functionally focused businesses enabling contextual communications.
At Catalyst, we employ a proactive, research-based approach to investing, targeting sectors experiencing outstanding growth. If you are an owner, operator, or investor in a growth stage company innovating the way businesses communicate either with their customers or internally, we would like to hear from you. Please send inquiries and business plans to kyle@catalyst.com.
Software companies have been moving into the payments space over the last few years in a major way. A number of vertical software companies have embedded payments functionality into their solutions – creating a better experience for end-users, businesses and their customers – and are capturing economics in the process. Other software companies have built payments solutions addressing vertical specific pain points. In doing so, they have been able to take market share from generic horizontal providers and open greenfield opportunities.
Catalyst has a wealth of experience backing businesses in this space (MindBody, ChowNow, Weave, and WeddingWire, among others). We believe we will see this trend continue to accelerate for years to come and are eager to partner with more of these businesses seeking growth equity capital.
At Catalyst, we employ a proactive, research-based approach to investing, targeting sectors experiencing outstanding growth. If you are an owner, operator or investor in a growth stage Vertical Payments Software company, we would like to hear from you. Please send inquiries and business plans to kirk@catalyst.com & grady@catalyst.com.
Despite a recent uptick in private financing and M&A activity, the construction industry remains a laggard in terms of technology adoption. A number of platforms and point solutions have emerged and are bringing traditionally paper-based processes online, but much innovation remains to come. Many stakeholders stand to benefit from the digitization of construction workflows, including contractors, designers, suppliers and other service organizations. As these transformations occur, truly vertically integrated platforms will emerge. Every step in the value chain from ideation to design to construction will benefit and be capable of sharing information to reduce costs and expedite build timelines. Accounting / ERP systems, BIM platforms, project management suites and supply chain providers are a few of the vendors driving change within the industry by digitizing documentation, communication, imaging and data synchronization. Catalyst recently partnered with eSUB and is excited to participate in the next phase of industry innovation.
At Catalyst, we employ a proactive, research-based approach to investing, targeting sectors experiencing outstanding growth. If you are an owner, operator or investor in a growth stage Construction Tech company, we would like to hear from you. Please send inquiries and business plans to jackson@catalyst.com.
The automotive industry stands at an inflection point. Decades of progress across safety, connectivity and performance have led to a drastic change in the vehicles on the road and for sale today. In addition, several colossal technology-driven changes are on the near horizon, which will in turn lead to even more drastic changes for the industry.
As these transformations occur, the automotive industry is leaning on Automotive Technology (“Auto Tech”) businesses for help. Automotive businesses throughout the supply chain are improving themselves by injecting digitization, intelligence and automation into existing processes. Auto Tech companies enable auto businesses to do so by providing software, data & analytics and outsourcing solutions. New businesses are emerging, both to take market share from incumbents through technology-driven processes as well as leveraging emerging technology to create new markets (e.g. Uber & Lyft using ubiquitous wireless broadband connectivity and smartphone adoption to create the ride-hailing industry). Catalyst is looking to partner with exciting businesses at the heart of the automotive industry transformation. Catalyst is also interested in technology businesses serving verticals adjacent to automotive including trucks & trailers, power sports, recreational vehicles and boats.
In a day and age of rapid technological innovation, the public has come to demand an incredibly high level of technical sophistication from all aspects of their lives. Where the commercial sector has accelerated to meet this demand, the public sector has historically been resistant to change. The Government Technology (“GovTech”) sector arose in response to public demand for more efficient, affordable, and secure government processes from a segment plagued by antiquated systems and outdated procedures. Only recently have government entities begun leveraging innovative and agile solutions to meet increasing operational demands and produce more citizen value while remaining adherent to stringent budgets. This digital transformation has been catalyzed by federal programs and regulations, which are accelerating tech adoption by increasing capital investment and streamlining procurement processes. To capitalize on this trend, Catalyst is exploring GovTech businesses seeking to exploit the recent digital transformation of the public sector across North America and seize market share in a fragmented market.
SaaS adoption has proliferated across nearly every industry vertical and business function to the point where it is now nearly ubiquitous throughout the economy. This has created multiple market opportunities for businesses utilizing an “API-first” strategy, whereby they offer new products or services via API that complement existing SaaS applications or they use API technology to break down data silos and connect what would otherwise be disparate data sets. A handful of first-movers have capitalized on a subset of these opportunities in both products & services (e.g., Twilio in voice & text, Stripe in payments) and data aggregation (e.g., MuleSoft for enterprises, Plaid for FinTech / financial institutions). We believe this dynamic is still in its early days and that there will be many future opportunities for growth investors with strong SaaS experience to partner with these businesses.
To capitalize on this trend, Catalyst is exploring businesses participating in the “API Economy”, which we define as companies doing any of the following:
1. Pursuing an “API-first” product or go-to-market strategy (e.g., Twilio, Stripe, Algolia, MapBox)
2. Utilizing APIs to connect data silos (e.g., MuleSoft, Plaid, Zapier, Segment, Redox, Trulioo)
3. Enabling the development and maintenance of APIs (e.g., Apigee, Kong, SmartBear)
At Catalyst, we employ a proactive, research-based approach to investing, targeting sectors experiencing outstanding growth. If you are an owner, operator, or investor of a growth stage company participating in the API Economy, we would like to hear from you. Please send inquiries and business plans to grady@catalyst.com.
Enterprise Financial Management: Solutions for the Office of the CFOCatalyst Investors
Catalyst Investors has a long-standing history investing in businesses at the intersection of SaaS and financial services & technology, with most recent examples including MINDBODY (payments & business management SaaS for health & wellness businesses), Clinicient (revenue cycle management collections, EMR, and practice management SaaS for physical & occupational therapists), and Fusion Risk Management (business continuity SaaS sold to financial institutions and other F1000 enterprises). Lately, Catalyst has spent more time researching the FinTech sector and has published two reports to broadcast the team’s findings:
• FinTech Market Overview – a primer that segments the FinTech ecosystem based on end-market and business model (e.g., enablers vs. replacers)
• Enterprise Financial Management: Solutions for the Office of the CFO – a deeper look into software and tech-enabled services enabling businesses and their finance function to work more efficiently
Catalyst Investors has a long-standing history investing in businesses at the intersection of SaaS and financial services & technology, with most recent examples including MINDBODY (payments & business management SaaS for health & wellness businesses), Clinicient (revenue cycle management collections, EMR, and practice management SaaS for physical & occupational therapists), and Fusion Risk Management (business continuity SaaS sold to financial institutions and other F1000 enterprises). Lately, Catalyst has spent more time researching the FinTech sector and has published two reports to broadcast the team’s findings:
• FinTech Market Overview – a primer that segments the FinTech ecosystem based on end-market and business model (e.g., enablers vs. replacers)
• Enterprise Financial Management: Solutions for the Office of the CFO – a deeper look into software and tech-enabled services enabling businesses and their finance function to work more efficiently
Defining the B2B On-Demand and Outsourced Talent MarketCatalyst Investors
Catalyst believes that Outsourcing the Office presents a compelling market opportunity and welcomes discussion with growth-stage business services outsourcing companies.
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1. 1
AI Enablement of Business Services
August 2019
Kirk Mahoney, Jackson Evans
2. 2
AI Enablement of Business Services Overview
▪ Market for Artificial Intelligence
• The businesses that move first to embed AI technologies will have a pronounced competitive advantage over
their competitors, improving their services (taking market share and increasing revenue) and automating tasks
(reducing costs).
• AI will contribute up to 15.7tn to global GDP by 2030, 55% of which will come from labor productivity[1].
• 51% of time spent in US occupations, representing $2.7tn in wages, is spent on highly automatable tasks
(collecting and processing data & performing manual tasks in a predictable environment)[2].
▪ Opportunity / Framework
▪ Generation defining technology – AI will ultimately have an impact on productivity on the magnitude of steam
power, electrification, computing, etc.
▪ Core tech done by others – the frameworks (e.g. Google Tensorflow), core AI services (e.g. Amazon AI
Services), and foundational applications (e.g. Microsoft LUIS) will either be open source & collaborative or
otherwise require immense amounts of capital and data to develop and therefore are better left to the
Internet Giants and Silicon Valley-based investors.
[1] PWC: Sizing the prize: What’s the real value of AI for your business and how can you capitalise?, 2017
[2] McKinsey Global Institute: A Future that Works, 2017
Catalyst’s Investment Thesis: license third party applications and services to transform an existing business service
3. 3
$ in millions Legacy Business Services AI-Enabled Business Services
Year 0 1 2 3 4 5 0 1 2 3 4 5
Revenue $25.0 $26.3 $27.6 $28.9 $30.4 $31.9 $25.0 $27.5 $30.9 $35.6 $40.9 $47.1
Revenue Growth % 5% 5% 5% 5% 5% 5% 5% 10% 13% 15% 15% 15%
Gross Profit $6.3 $6.6 $6.9 $7.2 $7.6 $8.0 $6.3 $7.6 $9.3 $12.5 $16.4 $21.2
Gross Margin % 25% 25% 25% 25% 25% 25% 25% 28% 30% 35% 40% 45%
Sales & Marketing $1.3 $1.3 $1.4 $1.4 $1.5 $1.6 $1.3 $3.4 $4.6 $4.6 $4.7 $4.7
Research & Development 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.4 3.1 3.6 4.1 4.7
General & Administrative 2.5 2.6 2.8 2.9 3.0 3.2 2.5 2.8 3.1 3.6 4.1 4.7
EBITDA $2.5 $2.6 $2.8 $2.9 $3.0 $3.2 $2.5 $0.0 ($1.5) $0.7 $3.5 $7.1
EBITDA Margin % 10% 10% 10% 10% 10% 10% 10% 0% (5%) 2% 9% 15%
Note: figures above are illustrative
The Opportunity for AI Transforming Business Models
1
2
3
4
5
Growth accelerates as the business takes market share from competitors stemming from superior service
Margins expand as tasks are automated
Increase in customer retention drives a shift from “contribution” mindset to “LTV / CAC” mindset; S&M becomes a
source of operating leverage
Research & development investments pay dividends in the form of higher growth and margin
Earnings are initially plowed back into the business before economies of scale drive higher operating margins
1
2
3
4
5
4. 4
AI Framework
Defining what constitutes “AI” presents a challenge. AI includes any tech that allows machines to simulate the cognitive capabilities of a human.
However, consensus has changed over time; as AI technologies go from leading edge to commercially accepted to mundane, those technologies
are often dismissed as “not real AI”. For the purposes of this paper, we define AI to be the generation of technologies that have been enabled by
advances in machine learning (“ML”). ML adds adaptability to computer algorithms, thus allowing machines to continuously improve their
performance on tasks. ML has become commercially viable due to continued decline computing costs and democratization of access to parallel
computing via the cloud.
Natural Language Processing Robotic Process Automation Advanced Analytics Computer Vision
Definition: Enabling machines to
understand and generate human
language, both textual and auditory
Key Applications:
• Virtual assistants
• Interactive voice response
• Speech to text
• Chatbots
• Entity extraction
• Text mining
• Language translation
• Grammar checking
Definition: Enabling software to emulate
human tasks within digital environments
Key Applications:
• Form automation
• Data extraction
• Web scraping
• Data validation
• Anomaly detection
Definition: Enabling time series
algorithms to optimize over time in order
to more accurately predict future events
Key Applications:
• Price & marketing optimization
• Customer segmentation
• Route optimization
• Predictive maintenance
• Financial & risk modeling
• Sentiment analysis
Definition: Enabling machines to
recognize and apply context to images
Key Applications:
• Optical character recognition
• Robotic guidance
• Facial recognition
• Process control
• Autonomous vehicles
• Image search
5. 5
Who Will Succeed
Visionary Technologist: Choosing which investments to make and over what time frame will require an executive with a
unique mix of creativity, technical insight and experience. Businesses that are serious about getting ahead of their
competitors will empower this individual by placing them in the C Suite.
Digital Foundation: The companies that will be best positioned to adapt AI will be ahead of the curve of their peers in
terms of digitization of existing processes. At least over the intermediate term, the majority of AI investments will
automate digital, as opposed to physical, processes. Companies that have gone through significant digital investments
will have learned lessons in terms of implementing complex technology which can apply to implementing AI.
Strong Data Strategy: Businesses that are able to harness proprietary data assets to train the algorithms at the core of
the AI systems they build will benefit from their technology optimizing to the unique elements of their operations and
customers. Doing so will require in house expertise around data governance and analytics.
Early Mover: As is often the case with technology, there are clear advantages for early adopters of AI including brand
recognition as a technology leader and greater lead time to achieve economies of scale.
6. 6
Who Will Succeed (Cont.)
IT Capacity: Implementing AI technologies will often require investments into the underlying IT infrastructure. As such,
companies that have a disciplined approach to managing IT resources and a capable staff of IT professionals will be best
able to make the parallel investments in IT infrastructure.
Project Prioritization: While we are bullish on the opportunity to leverage AI technology to improve business services
companies, we do not think that an “all of the above, right away” strategy makes sense. Rather, we believe that it is crucial
that companies ensure that their roadmap of projects aligns with their strategy and that they do not “bite off more than
they can chew”, so to speak.
Project Management: Making the most of AI investments will require exceptional project management. Oftentimes
implementing an AI technology will require training entire departments how to use complex systems and change their
existing workflows. Other times, systems may require an entire reorganization human resources.
Senior Buy In: Perhaps most important of all, we think the companies that succeed will be the ones that have buy in
from all major shareholders and operators.
7. 7
Target Business Services Sectors
Accounting Services
Industry Metrics:
• $114bn revenue
• Growing 3.8%
• 95k firms
• 568k employed
Industry Dynamics:
• SMB and mid market sized businesses require
outside expertise for bookkeeping and tax
services
• Business of all sizes require third party audits
• Self-employed market growth (“gig economy”)
driving robust demand
Existing Technology Enablement:
• Accounting firms leverage third party general
ledger software (e.g. Quickbooks, Sage, etc.), tax
preparation software (e.g. ProConnect), and
other accounting software (e.g. Expensify,
Bill.com) for their clients
• Internal tech stack includes CRM, ERP, project
management and digital marketing tools
AI Use Cases:
• Machine vision powered OCR technology to
digitize and automate the processing of
invoices, receipts and other financial data
• RPA to automate transactional processes such as
data extraction and validation
Industry Metrics:
• $194bn revenue
• Growing 3.0%
• 21k firms
• 425k employed
Industry Dynamics:
• Commerce and manufacturing businesses
frequently rely on outside parties to streamline
or optimize warehousing and transporting their
goods
• Ecommerce, omnichannel commerce and
globalization are making supply chains more
complex, in turn driving demand for outsourced
logistics
Existing Technology Enablement:
• Warehouse Management Systems (“WMS”) serve
as the transactional system of record
• Warehouse Control System (“WCS”) directs real
time activity within a warehouse
AI Use Cases:
• Machine vision enabled robots to pick, transport
and sort goods
• Leverage RPA for transaction logging including
invoice processing
Industry Metrics:
• $28bn in revenue
• Growing 4.7%
• 28k firms
• 541k employed
Industry Dynamics:
• Firms of all size rely on contact centers both for
telemarketing services as well as providing
omnichannel customer support
• A shift in priority from cost to quality has driven
contact centers from offshore countries back to
the US
Existing Technology Enablement:
• CRM systems serving as knowledge
management and system of record
• Telecommunications systems enabling and
optimizing voice and SMS interactions
• More tech forward centers will leverage
workflow automation tools such as interactive
voice response (“IVR”), predictive dialing and
voice annotation tools
AI Use Cases:
• Apply natural language processing to move
beyond speech-to-text to seamless, automated
interactions
• Forecast capacity requirements and staff
turnover using predictive analytics
Third Party Logistics Contact Centers
Note: Industry metrics per IBIS, reflect US market in 2019
8. 8
Target Business Services Sectors (Cont.)
Industry Metrics:
• $76bn revenue
• Growing 0.8%
• 281k firms
• 844k employed
Industry Dynamics:
• Both institutional and mom and pop real estate
owners often elect to outsource property
management for convenience or economics
• 25 year low rental vacancies driving strong
demand for property management services
Existing Technology Enablement:
• Property management software (e.g. MRI
Software, Buildium, etc.) provide business
management features including accounting,
property websites, customer portals and tenant
applications
• IOT & smart building systems enable property
management companies to automate building
operations including temperature and security
AI Use Cases:
• Embedding predictive analytics to optimize
building operations
• Leveraging chatbots to automate
communications related to maintenance
requests and other tenant interactions
Industry Metrics:
• $41bn revenue
• Growing 3.3%
• 62k firms
• 238k employed
Industry Dynamics:
• Travel agencies largely exist to lessen the friction
for businesses that frequently book travel last
minute
• US business travel outlook remains strong
Existing Technology Enablement:
• Online travel agencies provide a digitized form
of self-served travel booking, most suitable for
consumer travel
• Online booking systems provide business
management features including trip building
tools and online management
• Other internal tech stack incudes CRM and
digital marketing tools.
AI Use Cases:
• Providing chatbots to automate response to
customer inquiries
• Forecasting flight and hotel prices using
predictive modeling
Property Management Travel Agencies
Note: Industry metrics per IBIS, reflect US market in 2019
Industry Metrics:
• $167bn in revenue
• Growing 2.4%
• 425k firms
• 1,027k employed
Industry Dynamics:
• Insurance agents and brokers serve as a crucial
conduit between insurance carriers and
policyholders (both businesses and consumers)
• Agencies and brokers typically receive sales
commissions based on premium streams,
creating a recurring revenue base
Existing Technology Enablement:
• CRM and customer engagement systems
including CPQ and eSignature capabilities
• Integrations with carrier partners core insurance
system for underwriting, policy and claims
management
AI Use Cases:
• Leveraging RPA to automate internal processes
such as inputting data from forms
• Using alternative data generated by computer
vision to inform underwriting decisions
• Automating policyholder engagements with
natural language processing enabled technology
including chatbots and virtual assistants
Insurance Agencies & Brokers