The Detecon Trend Radar report analyzes over 600 startups and 400 technology trends across 7 categories using Detecon's global trend and startup knowledge. The report focuses on artificial intelligence trends and startups, with sections on machine learning, robotic process automation, accelerating ML computing (startup SambaNova), building robot intelligence (startup Vicarious), cloud-based quantum computing (startup Rigetti), and AI for autonomous vehicles (startup Pony.ai). Context recognition and deep learning are also discussed as important AI trends.
The Rise of Reality Learning Thought PaperMarek Hyla
This Thought Paper describes how extended reality techniques could be used in the learning space. It was created in the Think Tank CoE of Talent Development and Learning Practice of Accenture Capability Network.
This Thought Paper discusses how Artificial Intelligence could be used in the learning and development space. It provides various inspiration based on examples of solutions from and beyond the industry. The paper was prepared by Shweta Panwar and Debamitra Dasgupta within the Think Tank Center of Excellence of the Talent Development and Learning Practice in Accenture Capability Network.
Artificial Intelligence is trendy. Every event, every strategy meeting and every consulting firm talks about it. This whitepaper aims to separate actual facts and important background information from the overarching marketing buzz.
You will get a short but information-rich wrap up about: What causes the current hype? Where are we today? What are the innovation leaders doing with AI? And what are immediate action points to focus on by applying artificial intelligence to your business?
AI in Business - Key drivers and future valueAPPANION
Artificial Intelligence is undoubtedly a hyped topic at the moment. But what is the reasoning for investors and digital platform players to bet very large amounts of money on this technology right now? To better understand the current market dynamics and to give an overview of renown predictions for the upcoming 2-3 years, we compiled a practical overview of this topic. This report covers the major driving forces of AI, assumptions for the future from the industry thought leaders as well as practical advice on how to start AI projects within your company.
Top 10 Technology Predictions - Future Outlook for AI and DLTAPPANION
Artificial Intelligence and Distributed Ledger Technology are the current hot topics on the innovation agenda. In our future outlook for 2019 and beyond, we made 10 bold predictions for the upcoming development of these two key technologies.
The Rise of Reality Learning Thought PaperMarek Hyla
This Thought Paper describes how extended reality techniques could be used in the learning space. It was created in the Think Tank CoE of Talent Development and Learning Practice of Accenture Capability Network.
This Thought Paper discusses how Artificial Intelligence could be used in the learning and development space. It provides various inspiration based on examples of solutions from and beyond the industry. The paper was prepared by Shweta Panwar and Debamitra Dasgupta within the Think Tank Center of Excellence of the Talent Development and Learning Practice in Accenture Capability Network.
Artificial Intelligence is trendy. Every event, every strategy meeting and every consulting firm talks about it. This whitepaper aims to separate actual facts and important background information from the overarching marketing buzz.
You will get a short but information-rich wrap up about: What causes the current hype? Where are we today? What are the innovation leaders doing with AI? And what are immediate action points to focus on by applying artificial intelligence to your business?
AI in Business - Key drivers and future valueAPPANION
Artificial Intelligence is undoubtedly a hyped topic at the moment. But what is the reasoning for investors and digital platform players to bet very large amounts of money on this technology right now? To better understand the current market dynamics and to give an overview of renown predictions for the upcoming 2-3 years, we compiled a practical overview of this topic. This report covers the major driving forces of AI, assumptions for the future from the industry thought leaders as well as practical advice on how to start AI projects within your company.
Top 10 Technology Predictions - Future Outlook for AI and DLTAPPANION
Artificial Intelligence and Distributed Ledger Technology are the current hot topics on the innovation agenda. In our future outlook for 2019 and beyond, we made 10 bold predictions for the upcoming development of these two key technologies.
Robotics is rapidly transforming the way humans live and work, and will continue to grow due to the ongoing trend toward automation and continued innovative technical improvements in industrial robots. This report summarizes some important trends. It is an excerpt of our Detecon Radar.
While Metaverse is evolving, it holds new potential in healthcare that combines the technologies like Artificial Intelligence, Virtual Reality, Augmented Reality, Internet of Medical Devices, Web 3.0, intelligent cloud, edge and quantum computing along with robotics to provide new directions to healthcare.
The 4 Top Artificial Intelligence Trends For 2021Bernard Marr
Artificial Intelligence (AI) has been a mega-trend in 2020. The current pandemic has only accelerated the relevance and adoption of AI and machine learning. Here we look at some of the top AI trends for 2021.
What Is The Next Level Of AI Technology?Bernard Marr
Artificial Intelligence (AI) has permeated all aspects of our lives – from the way we communicate to how we work, shop, play, and do business – AI tools are everywhere we look.
Artificial Intelligence and Cognitive ComputingFlorian Georg
Keynote talk with some high level introduction on A.I., Cognitive systems, Machine Learning and IBM Watson & Cloud Platform @ Datadirect IT Security Forum 2017
5 Key Trends in Virtual Reality and Augmented Reality Careers in 2020?Robert Smith
The AR and VR market had sold 8.9 million units by the end of 2018, which is expected to grow to 65.9 million by the end of 2022. AR and VR headset sales are expected to grow to $9.7 billion in 2020. The majority of augmented reality users fall into the 16 to 34 age bracket.
The integration of Virtual Reality & Augmented Reality with multiple mobile, wearable, IoT & conversational platforms extends possibilities for a plethora of immersive applications for a wide range of industries.
According to Statista, the combined the market size of VR & AR would be $210bn by 2022.
201904 How will AI and machine learning transform local search and SMBs? Simon Greenman
From the SIINDA localcomm 2019 conference. We’re currently experiencing an AI gold rush. Billions are being invested. AI startups abound. Google, Amazon, and Microsoft are duking it out for AI supremacy. Corporations are scrambling to ensure they adopt AI ahead of their competitors while looking over their shoulder at startups. And countries are vying for AI supremacy. The question is where does local fit into this new frontier. This session will provide a non-technical introduction to AI and show how value is being created across industries and functions. It will take a deep dive into local and show how AI can be used to drive sales, marketing and customer service; drive efficiencies; deeper insights and competitive differentiation. Weaving in practical case studies it will also look at how the tech giants are becoming AI first companies.
The Biggest Artificial Intelligence Milestones Of The Decade So FarBernard Marr
We are only a few years into the '20s, but by any measure, it's been an eventful decade so far. It’s frequently been said that we’ve already seen five years’ worth of technology-driven change packed into the last 18 months, mostly out of necessity, since the start of the Covid-19 pandemic. And artificial intelligence (AI) development certainly hasn’t lagged behind.
Back in 2019, in what seems like another lifetime, I had a stab at picking out what I thought were the most significant developments so far in the history of AI. With everything that has developed since then, I thought it would be a good idea to round up the biggest breakthroughs and most significant developments of the current decade.
Unsurprisingly, many of the biggest and most headline-grabbing developments have been in the area of healthcare. However, ongoing research has also pushed boundaries of what is possible with natural language processing and vehicle autonomy.
Future Trends of AI and Analytics in the CloudBernard Marr
Artificial intelligence (AI) has the potential to be the most powerful and transformative technology the business world has ever seen, helping us make smarter decisions, automate tasks and fully realize the value of the data businesses are generating at an ever-growing rate.
What regulation for Artificial Intelligence?Nozha Boujemaa
Should we regulate Artificial Intelligence? What are the challenges to face bias in data and algorithms? What is trustworthy AI? AI HLEG (European Commission) and AIGO (OECD) feedback experiences and recommendations. Example in precision medicine: AI/ML for medical devices
Germany is typically not at the top of many lists when it comes to artificial intelligence (AI) leadership or investment. However, the country created an AI strategy in 2018, and several well-known, established German companies are showing that small can still be mighty. Here’s an overview of AI in Germany.
Dear Reader,
We are a leading system integrator and IT solutions provider in Mumbai for automating your enterprise needs with reliable solutions since 30 years.
We are happy to publish 68th issue of our monthly newsletter "TechTalk". The earlier issues, can be found in the Newsletter section at www.goapl.com
We have helped 100+ companies in last 30 years for various IT Solutions. We’ll be happy to know if you have any requirement for IT or IT Related services, you could share the same on https://goapl.com/connect-with-us/
How artificial intelligence (ai) is transforming mobile technology Brainmobiservice
As one of the best mobile app development company in Singapore, we can help you come up with the most systematic solutions in regard to any industry vertical and also any over the top solution to help you score best for your business needs.
For more visit us at - https://www.brainmobi.com/mobile-app-development-company-in-singapore
Artificial Intelligence: Competitive Edge for Business Solutions & Applications9 series
The growth of Artificial Intelligence in recent years brought forth a major challenge for brands in deploying such AI solutions. Many brands lack the clarity regarding where to start the AI integration process and profitably deploy these solutions in the most effective manner.
Artificial intelligence (Ai) is back, and the tech industry’s interest is stronger than ever. Ai will have an important impact on the design and creation of software. Application development and delivery (AD&D) professionals need to understand the potential benefits Ai will bring, not only to how they build software but also to the nature of the applications themselves. in parallel, AD&D pros should not ignore the challenges and risks that come with Ai. this report is the first of a series that will examine the impact of Ai on software development and separate myth from reality
Artificial intelligence (AI), also known as machine intelligence, is an aspect of computer science that deals will the designing of intelligent mechanical systems that work and react like humans. AI incorporates information from everything ranging from Google search algorithms to machinal processes. From SIRI to self-driving cars, everything is the outcome of artificial intelligence, which is rapidly progressing and taking over our human lives.
Robotics is rapidly transforming the way humans live and work, and will continue to grow due to the ongoing trend toward automation and continued innovative technical improvements in industrial robots. This report summarizes some important trends. It is an excerpt of our Detecon Radar.
While Metaverse is evolving, it holds new potential in healthcare that combines the technologies like Artificial Intelligence, Virtual Reality, Augmented Reality, Internet of Medical Devices, Web 3.0, intelligent cloud, edge and quantum computing along with robotics to provide new directions to healthcare.
The 4 Top Artificial Intelligence Trends For 2021Bernard Marr
Artificial Intelligence (AI) has been a mega-trend in 2020. The current pandemic has only accelerated the relevance and adoption of AI and machine learning. Here we look at some of the top AI trends for 2021.
What Is The Next Level Of AI Technology?Bernard Marr
Artificial Intelligence (AI) has permeated all aspects of our lives – from the way we communicate to how we work, shop, play, and do business – AI tools are everywhere we look.
Artificial Intelligence and Cognitive ComputingFlorian Georg
Keynote talk with some high level introduction on A.I., Cognitive systems, Machine Learning and IBM Watson & Cloud Platform @ Datadirect IT Security Forum 2017
5 Key Trends in Virtual Reality and Augmented Reality Careers in 2020?Robert Smith
The AR and VR market had sold 8.9 million units by the end of 2018, which is expected to grow to 65.9 million by the end of 2022. AR and VR headset sales are expected to grow to $9.7 billion in 2020. The majority of augmented reality users fall into the 16 to 34 age bracket.
The integration of Virtual Reality & Augmented Reality with multiple mobile, wearable, IoT & conversational platforms extends possibilities for a plethora of immersive applications for a wide range of industries.
According to Statista, the combined the market size of VR & AR would be $210bn by 2022.
201904 How will AI and machine learning transform local search and SMBs? Simon Greenman
From the SIINDA localcomm 2019 conference. We’re currently experiencing an AI gold rush. Billions are being invested. AI startups abound. Google, Amazon, and Microsoft are duking it out for AI supremacy. Corporations are scrambling to ensure they adopt AI ahead of their competitors while looking over their shoulder at startups. And countries are vying for AI supremacy. The question is where does local fit into this new frontier. This session will provide a non-technical introduction to AI and show how value is being created across industries and functions. It will take a deep dive into local and show how AI can be used to drive sales, marketing and customer service; drive efficiencies; deeper insights and competitive differentiation. Weaving in practical case studies it will also look at how the tech giants are becoming AI first companies.
The Biggest Artificial Intelligence Milestones Of The Decade So FarBernard Marr
We are only a few years into the '20s, but by any measure, it's been an eventful decade so far. It’s frequently been said that we’ve already seen five years’ worth of technology-driven change packed into the last 18 months, mostly out of necessity, since the start of the Covid-19 pandemic. And artificial intelligence (AI) development certainly hasn’t lagged behind.
Back in 2019, in what seems like another lifetime, I had a stab at picking out what I thought were the most significant developments so far in the history of AI. With everything that has developed since then, I thought it would be a good idea to round up the biggest breakthroughs and most significant developments of the current decade.
Unsurprisingly, many of the biggest and most headline-grabbing developments have been in the area of healthcare. However, ongoing research has also pushed boundaries of what is possible with natural language processing and vehicle autonomy.
Future Trends of AI and Analytics in the CloudBernard Marr
Artificial intelligence (AI) has the potential to be the most powerful and transformative technology the business world has ever seen, helping us make smarter decisions, automate tasks and fully realize the value of the data businesses are generating at an ever-growing rate.
What regulation for Artificial Intelligence?Nozha Boujemaa
Should we regulate Artificial Intelligence? What are the challenges to face bias in data and algorithms? What is trustworthy AI? AI HLEG (European Commission) and AIGO (OECD) feedback experiences and recommendations. Example in precision medicine: AI/ML for medical devices
Germany is typically not at the top of many lists when it comes to artificial intelligence (AI) leadership or investment. However, the country created an AI strategy in 2018, and several well-known, established German companies are showing that small can still be mighty. Here’s an overview of AI in Germany.
Dear Reader,
We are a leading system integrator and IT solutions provider in Mumbai for automating your enterprise needs with reliable solutions since 30 years.
We are happy to publish 68th issue of our monthly newsletter "TechTalk". The earlier issues, can be found in the Newsletter section at www.goapl.com
We have helped 100+ companies in last 30 years for various IT Solutions. We’ll be happy to know if you have any requirement for IT or IT Related services, you could share the same on https://goapl.com/connect-with-us/
How artificial intelligence (ai) is transforming mobile technology Brainmobiservice
As one of the best mobile app development company in Singapore, we can help you come up with the most systematic solutions in regard to any industry vertical and also any over the top solution to help you score best for your business needs.
For more visit us at - https://www.brainmobi.com/mobile-app-development-company-in-singapore
Artificial Intelligence: Competitive Edge for Business Solutions & Applications9 series
The growth of Artificial Intelligence in recent years brought forth a major challenge for brands in deploying such AI solutions. Many brands lack the clarity regarding where to start the AI integration process and profitably deploy these solutions in the most effective manner.
Artificial intelligence (Ai) is back, and the tech industry’s interest is stronger than ever. Ai will have an important impact on the design and creation of software. Application development and delivery (AD&D) professionals need to understand the potential benefits Ai will bring, not only to how they build software but also to the nature of the applications themselves. in parallel, AD&D pros should not ignore the challenges and risks that come with Ai. this report is the first of a series that will examine the impact of Ai on software development and separate myth from reality
Artificial intelligence (AI), also known as machine intelligence, is an aspect of computer science that deals will the designing of intelligent mechanical systems that work and react like humans. AI incorporates information from everything ranging from Google search algorithms to machinal processes. From SIRI to self-driving cars, everything is the outcome of artificial intelligence, which is rapidly progressing and taking over our human lives.
leewayhertz.com-How to build a generative AI solution From prototyping to pro...KristiLBurns
Generative AI has gained significant attention in the tech industry, with investors, policymakers, and the society at large talking about innovative AI models like ChatGPT and Stable Diffusion.Generative AI has gained significant attention in the tech industry, with investors, policymakers, and the society at large talking about innovative AI models like ChatGPT and Stable Diffusion.
Top 20 artificial intelligence companies to watch out in 2022Kavika Roy
Artificial intelligence is fast becoming an intrinsic part of every industry.
It’s estimated that the global AI market will grow at a rate of 40.2% CAGR (Compound Annual Growth Rate) from the year 2021 to 2028. While the top names spend on research, the smaller organizations rely on offshore AI companies to embrace artificial intelligence and machine learning technology and integrate them into their business processes.
Working with the right AI company can help streamline the business operations, optimize the resources, and increase returns by changing the way management and employees perform their day-to-day activities at work.
Here are the top 20 artificial intelligence companies to watch out for in 2022:-
https://www.datatobiz.com/blog/top-artificial-intelligence-companies/
RPA and AI impact on Banking - 4th Annual Back Office Operations Forum, ViennaUiPath
There is no doubt the universe of artificial intelligence extends far beyond the world of robotic process automation. AI is actually an umbrella covering a broad set of methods, algorithms and technologies that make software ‘smart’. Machine learning, computer vision, natural language processing, robotics and related topics are all part of AI. They collectively form a subset of AI broadly termed ‘cognitive technologies’.
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING Goodbuzz Inc.
Driving Tangible Value for Business. Briefing Paper. Interest in AI/ML is soaring, but confusion and hype can mask the real benefits of these technologies. Organizations need to identify use cases that will produce value for them, especially in the areas of enhancing processes, detecting anomalies and enabling predictive analytics.
Artificial intelligence is part of almost every business today; it facilitates business operations, increases productivity, and offers a variety of ways to speed up communication processes. Artificial intelligence and software (or software applications installed on it), as well as automation through AI systems, perform many of the tasks previously performed by employees and workers. Switching to an automated working environment has resulted in a lot of unnecessary business expenses, substantial time savings and a gradual increase in profits. The automation through AI of various business processes has taken many companies and organizations to the next level in terms of production and management.So, this article explains the role of artificial intelligence, machine learning and cloud computing in business. by Dr. Pawan Whig 2019. Artificial Intelligence and Machine Learning In Business. International Journal on Integrated Education. 2, 2 (Jun. 2019). https://journals.researchparks.org/index.php/IJIE/article/view/516/493 https://journals.researchparks.org/index.php/IJIE/article/view/516
From Alexa and Siri to factory robots and financial chatbots, intelligent systems are reshaping industries. But the biggest changes are still to come, giving companies time to create winning AI strategies
Generative AI models are transforming various fields by creating realistic images, text, music, and videos. This guide will take you through the essential steps and considerations for building a generative AI model, providing a comprehensive understanding of the process.
Building a generative AI solution involves defining the problem, collecting and processing data, selecting suitable models, training and fine-tuning them, and deploying the system effectively. It’s essential to gather high-quality data, choose appropriate algorithms, ensure security, and stay updated with advancements.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
2. 2 detecon-radar.com
> 600 Startups> 400 Trends7 Categories
Detecon Trend Radar
The Detecon Trend Radar harnesses Detecon’s global trend
and startup knowledge to empower clients to innovate
proactively and successfully.
This report includes selected trends from the Detecon Radar.
For more information on this and many other trends please
visit : detecon-radar.com
This report is an excerpt derived from the Detecon Trend Radar, our “single
source of truth” for scouting the latest technology trends, opportunities
and startups
3. 3 detecon-radar.com
Detecon Trend Radar
Artificial Intelligence is poised to have a transformational impact on core
processes and business models in the coming decade
Artificial Intelligence (AI) is rapidly transforming the way organizations
operate as a result of the ongoing trend towards automated solutions and
continued technical improvements in computing engines.
With the aggressive growth of data produced by the Internet of Things
(IoT), businesses are turning to AI applications such as machine learning
or deep learning to process and derive insights from this information. This
can allow for data-driven and autonomous operations that can boost
productivity across the organization through better informed decision
making.
Although AI has immense potential to disrupt and streamline business
operations, high capital investment, workforce resistance, and ethical
concerns surrounding black swan events have slowed adoption.
This report includes a snapshot of some of the most relevant
AI trends and startups from our Detecon Radar, your
“single source of truth” for all current and future AI threats
and opportunities.
4. Trend Inspirations Trend Rating
Course of Action
Park Wait & See Observe Be Prepared Act Now
Machine Learning (ML)
Machine learning is a set of algorithms used to make a system “artificially intelligent,” enabling it to recognize patterns
from large datasets and apply the findings to new data. Machine learning can be used to train computers to understand
and analyze human language, including text and voice (Natural Language Processing / NLP), to identify and analyze
images (image processing and computer vision), or for time series analysis, among other things.
Trend Description
Machine Learning is a field where computational methods
use experience (past information) to improve performance
and make accurate predictions. The capability to learn
enables an artificial intelligence to improve and adapt itself
to new and unexpected situations. Without this capability,
an AI would not be able to develop over time.
ML has successfully been applied to different problems,
e.g., Text Classification, Natural Language Processing,
Image Analysis. It builds the foundation of every modern AI
system.
Any application areas where data is available and a
learning or prediction problem exists (e.g., Robotics,
Economics, Biology and Medicine, Physics and
Astronomy, Computer Vision).
Showcased startup
March madness: Google Cloud
and NCAA have teamed up and
challenged machine learning
developers to predict the correct
outcome of the Basketball
Championships tournament with a
$100,000 prize pool.
Applying machine learning has
helped Instagram reduce
cyberbullying and trolling by
pinpointing inappropriate words
and phrases in comments while
prioritizing posts with which users
more likely interact.
The Rainforest connection project
uses old cell phones to detect
illegal loggers in the Amazon
rainforest. They have now
partnered with Google to apply
machine learning algorithms to
detect sounds such as gunshots to
better protect the rainforest.
5. Technology Startup Rating
Course of Action
Park Wait & See Observe Be Prepared Act Now
Accelerating ML & Analytics Computing
Startup Description
SambaNova Systems is a computing startup focused on
building machine learning and big data analytics platforms.
Their software defined analytics platform enables optimum
performance for any ML training, inference or analytics
models.
Founded in 2017 in Palo Alto, it emerged from stealth
mode in March 2018, just after closing a $56m Series A
venture capital round. SambaNova is the product of
technology from Kunle Olukotun and Chris Ré, two
professors at Stanford, and led by former Oracle SVP of
development Rodrigo Liang, who was also a VP at Sun for
almost 8 years.
Selected Investors: Walden International, GV, Redline
Capital Management, Atlantic Bridge Capital
Startup Inspiration
SambaNova Systems develops hardware for building
machine learning and big data analytics platforms. Its
software-defined analytical platform provides optimum
performance to machine learning training or inference
models and uses hardware innovations to increase its
computing power.
SambaNova looks to create a new platform from scratch
that is optimized for the lightweight mathematics GPU’s
have become popular for.
Through that SambaNova hopes that it will be able to
outclass a GPU in terms of speed, power usage, and
even potentially the actual size of the chip.
Founded: 2017 in Palo Alto, CA
Industry: IT
CEO: Rodrigo Liang
Funding stage: Series A
Employees: 60
Total Funding (USD): 56m Twitter Followers: N/A
Facebook Followers: N/A
LinkedIn Followers: 130
Picture source: SambaNova
The flexibility of our technology enables us to build a platform
providing tremendous benefits for machine learning.
Kunle Olukotun – CTO
6. Trend Inspirations Trend Rating
Course of Action
Park Wait & See Observe Be Prepared Act Now
Robotic Process Automation (RPA)
Robotic process automation (RPA) is the automation of high volume routine business processes with "software robots"
which perform defined tasks and processes automatically across applications. These tasks often include repetitive,
standardized and transaction processes in key corporate functions.
Trend Description
Robotic process automation (RPA) leverages the power of
software robots, which can be programmed to perform
basic tasks across multiple software applications, to
manage the processing of common business transactions.
The software mimics the actions of employees responsible
for carrying out a task within a given process.
The RPA software is designed to reduce the need for
employees to complete repetitive and simple tasks since
the software robot is able to complete these tasks more
efficiently and accurately.
Typically RPA is implemented in key corporate functions
which involve repetitive, standardized and transactional
processes and activities such as Finance, Compliance,
Treasury, and Marketing.
Showcased startup
Outsourcing firms are utilizing RPA
as administrative assistants to limit
repetitive tasks, help meet
compliance standards, reduce
outsourcing costs, and scaling to
meet growing business demands.
YES BANK, India’s fourth largest
private sector bank, has applied
RPA to help eliminate the
requirement of documents
submission for import / export
payments. This is expected to
reduce the turnaround time of
payments by 80%.
EnableSoft, an early innovator in
the RPA space, has announced a
global expansion initiative (Foxtrot
Alliance EMEA distributorship) to
bring RPA closer to businesses
without a need for deep
engagement with IT.
7. Technology Startup Rating
Course of Action
Park Wait & See Observe Be Prepared Act Now
Building Intelligence for Robots
Startup Description
Vicarious is working towards developing artificial general
intelligence for robots. Founded in 2013 in Menlo Park, CA
the quickly gained the attention of technology legends,
Mark Zuckerberg, Elon Musk or Jeff Bezos who are all
among the Angel investors of Vicarious. The company
claims that their model can train faster and generalizes
more broadly than other traditional AI approaches.
Selected Investors: Khosla Ventures, Samsung Venture
Investment, Wipro Ventures, ABB, Formation 8, Zarco
Investment Group, Open Field Capital, Initialized Capital,
A-Grade Investments, Good Ventures, Founders Fund,
Felicis Ventures, LeFrak, Zeroth ai, AME Cloud Ventures,
Faridan, Samsung NEXT, Bezos Expeditions, Data
Collective, The OS Fund
Startup Inspiration
Vicarious is an artificial intelligence company that uses
the computational principles of the human brain to build
software that can process visual information, think and
learn like a human.
The Company builds a unified algorithmic architecture to
achieve human-level intelligence in vision, language and
motor control. Vicarious' focus is on visual perception
problems such as recognition, segmentation and scene
parsing. Vicarious eventually plans to build a generalized
intelligence, which can be applied across numerous
applications.
Founded: 2010 in Menlo Park, CA
Industry: Robotics
CEO: Scott Phoenix
Funding stage: Series D
Employees: 55
Total Funding (USD): 138m Twitter Followers: 2,489
Facebook Followers: 1,901
LinkedIn Followers: 2,486
Picture source: Vicarious
Vicarious is building a single, unified system that will
eventually be intelligent like a human.
Scott Phoenix – CEO
8. Trend Inspirations Trend Rating
Course of Action
Park Wait & See Observe Be Prepared Act Now
Quantum Computing
Quantum computing takes advantage of quantum-mechanical phenomena (e.g. superposition and entanglement) to
perform operations on data.
Trend Description
Quantum computing is a technology that will have a
tremendous impact on the overall computing landscape.
Currently, most computers use binary computing systems
to perform calculations (the state is either 0 or 1).
Removing the current restrictions on states and allowing
chips to switch between different states more rapidly will
improve calculation speeds exponentially.
Quantum computing is based on the number of quantum
bits that can be in superpositions of states, thus allowing it
to have more than the 2 states associated with standard
computing.
As the number of qubits (quantum bits are units of
information) increases, the potential acceleration in
computing power over traditional systems increases
exponentially.
Showcased startup
An MIT team has provided unique
visibility into the spread of
information in large quantum
mechanical systems - information
is physical, meaning quantum-level
sharing of information underlies the
universal tendency toward entropy
and thermal equilibrium.
Researchers from USC have used
quantum computing to boost
machine learning. Using a
quantum computer has made
machine learning more accurate by
separating noise from data to
confirm the appearance of rare
Higgs bosons, the “God particle”.
In March 2018, Google presented
the development of its latest 72-
qubit quantum chip. Google states
that its new 72-qubit quantum
processor, dubbed “Bristlecone”,
will be the chip that reaches the
“quantum supremacy” milestone.
9. Technology Startup Rating
Course of Action
Park Wait & See Observe Be Prepared Act Now
Cloud-based Quantum Computing
Startup Description
Rigetti Computing is a full-stack quantum computing
company. Founded in 2013 in Berkeley, CA the startup
went thorugh the Y combinator start-up accelerator
program. To build a successful quantum computing
product, Rigetti has a long way to go but currently it is the
most promising competitor for technology giants Google
and IBM.
Rigetti Computing was recognized by X-Prize as one of
the three leaders in the quantum computing space, along
with IBM and Google. MIT Technology Review named it as
one of the 50 smartest companies of 2017.
Selected Investors: Andreessen Horowitz, Vy Capital,
Sutter Hill Ventures, Y Combinator, Western Technology
Investment, AME Cloud Ventures, Lux Capital,
Streamlined Ventures, Susa Ventures, Founders Fund Startup Inspiration
Rigetti Computing is building a cloud quantum
computing platform for artificial intelligence and
computational chemistry. It designs and fabricates
quantum chips, integrates them with a controlling
architecture, and develops software for programmers to
build algorithms for the chips. Products include Forest, a
cloud-computing platform; and Fab-1, a fabrication lab to
create 3D-integrated quantum circuits. Rigetti opened up
private beta testing of Forest. Forest emphasizes a
quantum-classical hybrid computing model, integrating
directly with existing cloud infrastructure and treating the
quantum computer as an accelerator.
Founded: 2013 in Berkeley, CA
Industry: IT
CEO: Chad Rigetti
Funding stage: Series B
Employees: 86
Total Funding (USD): 69.5m Twitter Followers: 4,833
Facebook Followers: 120
LinkedIn Followers: 2,327
Picture source: Rigetti Computing
On a mission to build the world’s most powerful computer.
Chad Rigetti – CEO
10. Trend Inspirations Trend Rating
Course of Action
Park Wait & See Observe Be Prepared Act Now
Context Recognition
Context Recognition is a process that identifies real-time information from sensory data, using pattern recognition,
signal processing, and machine learning algorithms.
Trend Description
The capabilities of Artificial Intelligence (AI) will improve
exponentially if AI is able to perceive, interpret and
understand complex information from the physical real
world as most AI processes depend on the quality and
volume of information that can be gathered.
Context Recognition is the underlying driver of
development for a variety of AI topics which depend upon
the machines being able to understand the physical
environment (e.g. cognitive loops in agent-based systems
and robotics where the machine is required to follow the
"Perceive – Reason – Act" loop). It can also be applied in
any area that requires contextual information to be
gathered from the physical world (e.g., human activity
recognition, autonomous driving, and robotics).
Showcased startup
Microsoft is going beyond the
concepts of image recognition and
machine learning to make artificial
intelligence smarter, and building
systems that can read text,
comprehend the context behind it
and even ask and answer
questions.
South Korean Internet giant, Naver,
announced the launch of ConA, an
artificial intelligence platform that
automatically recommends travel
destinations overseas. ConA has the
ability to read data on the web to
extract the most useful information.
In January 2018, researchers at
NIST built a superconducting
switch that learns like a biological
system and can connect
processors and store memories in
future computers – A breakthrough
in artificial brain’s biggest
weakness, context recognition.
11. Technology Startup Rating
Course of Action
Park Wait & See Observe Be Prepared Act Now
AI for Autonomous Vehicles
Startup Description
Pony.ai is a company developing an autonomous driving
technology platform. Founded in 2016 by James Peng and
Tiancheng Lou, it is focused on building a level four
autonomous car that is restricted to more predictable
environments such as college campuses, industrial
settings, etc. In January 2018 it raised $112m in a Series A
venture capital round.
In February 2018, it became the first company to operate
an autonomous ride-hailing service on public roads for
public users in China.
Selected Investors: Morningside venture Capital, Legend
Capital, Sequoia Capital, IDG Capital, Legend Star, Puhua
Capital, Polaris Capital, DCM Ventures, Comcast
Ventures, Silicon Valley Future Capital
Startup Inspiration
Pony.ai is designing both hardware and software
components including its own operating system and is in
the process of forging partnerships with car
manufacturers with which it plans to design cars for
autonomous driving. Pony.ai’s fully self-developed
software algorithms enable a vehicle to accurately
perceive its surroundings, predict what others will do,
and maneuver itself accordingly. The team is deeply
passionate about bringing the latest breakthroughs in
Artificial Intelligence to the future of transportation.
Founded: 2016 in Fremont, CA
Industry: Automotive
CEO: James Peng
Funding stage: Series A
Employees: 44
Total Funding (USD): 112m Twitter Followers: N/A
Facebook Followers: N/A
LinkedIn Followers: 774
Picture source: Pony.ai
I believe Pony.ai holds the most promise in delivering L4
technology to the mass market.
Wenji Jin – MD of Legend Capital
12. Trend Inspirations Trend Rating
Course of Action
Park Wait & See Observe Be Prepared Act Now
Deep Learning
Deep Learning is an area of machine learning that uses ranks of processors formed into layered neural networks to
enable computer systems to learn from huge amounts of data.
Trend Description
Deep learning (DL) is the process of using artificial neural
networks that learn to represent information and to quickly
find structure within large datasets of text, images, and
sound. Basically, it enables systems to learn from massive
data. It is a biologically inspired learning approach based
on the human neuron.
Essentially, it is an area of machine learning that uses
ranks of processors formed into layered neural networks to
enable computer systems to learn from huge amounts of
data, 5-20x faster than previous.
Various DL architectures have been applied to fields such
as computer vision (Facebook Face Recognition),
automatic speech recognition (Apple Siri), and natural
language processing (GoogleNow, Amazon Echo, Google
Home).
Showcased startup
A new artificial-intelligence tool
developed at UC San Diego
deploys a highly efficient form of
deep learning to diagnose eye
diseases from medical images.
The convolutional network requires
drastically less training than
comparable models.
A new deep learning approach
developed by an international team
of researchers moves to disrupt the
ride hailing industry by predicting
demand patterns for taxis / ride
sharing services.
Clinicians could save time and
improve their diagnostic accuracy
when deep learning is applied to
echocardiography. Deep learning
can improve workflow, the
completeness of studies, and
doctors' ability to interpret data
decision making.
13. Technology Startup Rating
Course of Action
Park Wait & See Observe Be Prepared Act Now
Build AI applications without any coding
Startup Description
Petuum endeavors to provide an Omni-source, Omni-
lingual, and Omni-mount platform that serves the full
spectrum of Artificial Intelligence and Machine Learning
applications. Founded in 2016 in Pittsburgh, it has recently
closed a Series B funding round in which they won the
(financial) support of investment giant Softbank. Petuum
empowers organizations to create AI/ML solutions that are
correct, fast, scalable, and consume minimal computing
resources. Together with its clients and developers,
Petuum enables verticals such as healthcare decision-
making, autonomous pilot, anomaly detection and risk
management, and beyond.
Selected Investors: Northern Light Venture Capital,
Tencent Holdings, Oriza Ventures, Softbank, Advantech
Capital Startup Inspiration
The Petuum development platform and gallery of AI
building blocks work with any programming language
and any type of data, allowing managers and analysts to
quickly build AI applications without any coding, while
engineers and coders can further re-program
applications as needed. Its platform can be used to
realize a wide spectrum of AI/ML technologies, such as
Regression Models, Deep Learning Models, Graphical
Models, Kernel and Spectral Methods, Parametric and
Nonparametric Bayesian Methods, Tree and Ensemble
Methods, using state of the art algorithms based on
optimization, Monte Carlo, and matrix & tensor algebra.
Founded: 2016 in Pittsburgh, PA
Industry: Healthcare, Fintech
CEO: Eric Xing
Funding stage: Series B
Employees: 69
Total Funding (USD): 108m Twitter Followers: 367
Facebook Followers: 217
LinkedIn Followers: 1,027
We are trying to create very standardized building blocks that
can be assembled and reassembled like legos.”
Dr. Eric Xing - CEO
15. 15 detecon-radar.com
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