AI, Machine Learning & Data: What Businesses Need to Know!
From autonomous driving to predictive analytics, robotic manufacturing to smart homes, how we live, work and play is impacted in profound ways.
CloudFactory makes it super EASY to offload data work so our customers can focus on innovation and growth. We specialize in preparing and organizing data sets and work with companies like Microsoft, Embark, Drive.ai, FaceTec to implement them into building innovative AI, ML and other complex technologies.
10 Tech Companies That Use Human IntelligenceCloudFactory
Some of the most innovative technologies, today rely on human intelligence to power their platforms and provide a GREAT user experience. It’s how machine learning algorithms become more accurate, documents are transcribed with off-the-charts accuracy, and images are tagged and moderated at scale.
Top 10 tech companies using human intelligence to train their machine learning algorithms behind some of the most innovative products with On-demand workforce.
Conversational AI versus AI Data ScienceRazorthink
Uncover the difference between a conversational AI and AI data science in this informative presentation, as well as how AI is being used on the Enterprise level.
With the vigorous development of emerging information technology, artificial intelligence application scenarios are everywhere. When it comes to AI, the first thing we think of is machine learning and deep learning. However, they are only part of the field of artificial intelligence research. The scope of artificial intelligence is extremely wide. This presentation describes the hot topics in artificial intelligence research and ten major technical categories.
Artificial intelligence continues its move to become a part of our personal and work life. A career in AI today not only guarantees a decent salary in top Artificial Intelligence Companies, but also promising opportunities to help you grow.
10 Tech Companies That Use Human IntelligenceCloudFactory
Some of the most innovative technologies, today rely on human intelligence to power their platforms and provide a GREAT user experience. It’s how machine learning algorithms become more accurate, documents are transcribed with off-the-charts accuracy, and images are tagged and moderated at scale.
Top 10 tech companies using human intelligence to train their machine learning algorithms behind some of the most innovative products with On-demand workforce.
Conversational AI versus AI Data ScienceRazorthink
Uncover the difference between a conversational AI and AI data science in this informative presentation, as well as how AI is being used on the Enterprise level.
With the vigorous development of emerging information technology, artificial intelligence application scenarios are everywhere. When it comes to AI, the first thing we think of is machine learning and deep learning. However, they are only part of the field of artificial intelligence research. The scope of artificial intelligence is extremely wide. This presentation describes the hot topics in artificial intelligence research and ten major technical categories.
Artificial intelligence continues its move to become a part of our personal and work life. A career in AI today not only guarantees a decent salary in top Artificial Intelligence Companies, but also promising opportunities to help you grow.
The artificial intelligence solutions are the greatest invention of mankind that has taken the technology to a whole new level. Artificial intelligence is used by the IT sector in their systems, software, applications, websites etc.
Check it Out – https://bit.ly/2Cgmd7p
A primer on Artificial Intelligence (AI) and Machine Learning (ML)Yacine Ghalim
Over the past couple of years, we found ourselves investing in 7 AI and ML enabled companies, in areas as diverse as marketing, credit scoring, recruitment, fertility tracking and so on. It appears that we’ve been among the most active European investors in what most people today still view as a “theme”. Most importantly, more and more of our other portfolio companies are starting to adopt these technologies in order to make their products better.
What follows is a presentation that we gave to our LPs at our most recent investor day in February. We tried to give them a primer on these technologies: what they are ; why we are all talking about them now ; and how we, at Sunstone, are thinking about investing in those companies.
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.
The following topics are covered in this video: 1. What Is Artificial Intelligence? 2. Applications of Artificial Intelligence. 3. What is meant by acting humanly? 4. What is meant by thinking humanly? 5. What is meant by thinking rationally? 6. What is meant by acting rationally?
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. A presentation that a layman could understand and have basic knowledge and concept of coming technology.
What is AI and how it works? What is early history of AI. what are risks and benefits of AI? Current status and future of AI. General perceptions about AI. Achievement of AI. Will AI be more beneficent or more destructive?
Top 10 Applications Of Artificial Intelligence | EdurekaEdureka!
YouTube Link: https://youtu.be/Y46zXHvUB1s
** Machine Learning Masters Program: https://www.edureka.co/masters-progra... **
This Edureka session on Applications Of Artificial Intelligence will help you understand how AI is impacting various domains such as banking, marketing, healthcare and so on.
Following are the topics covered in this PPT:
AI In Artificial Creativity
AI In Social Media
AI In Chatbots
AI In Autonomous Vehicles
AI In Space Exploration
AI In Gaming
AI In Banking & Finance
AI In Agriculture
AI In Healthcare
AI In Marketing
Follow us to never miss an update in the future.
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Machine learning. Artificial intelligence's influence on marketing.Alina Hueckelkamp
This presentation shows how machine learning influence marketing. The algorithm selecting content on mobile devices based on their relevance answering needs. The url internet as we know is less and less visited. The Alpha Apps are taking over. All big players are working on their own personal assistants trying to predict what we want, directly acting on our needs. So what is marketing role in future and how can you marketing when an self-learning algorithm is your audience?
Object Automation Software Solutions Pvt Ltd in collaboration with SRM Ramapuram delivered Workshop for Skill Development on Artificial Intelligence.
Introduction to AI by Mr.Vaibhav Raja, Research Scholar from Object Automation.
Artificial Intelligence Vs Machine Learning Vs Deep Learningvenkatvajradhar1
This technology is no longer a matter of science fiction. Instead, we see artificial intelligence in every part of our lives. Smart assistants are on our phones and speakers, helping us find information and complete everyday tasks. At work, chatbots are affiliated with the Customer Support Team, with estimates that they will be responsible for 85% of customer service by next year.
Game changing AI Startups need great AI system. Learn the basic concepts and importance of AI to change the way you build a Startup. Its time to identify and develop skill sets to make better decisions.
Accelerate #AI workloads with Tesla V100 on #E2ECloud : http://bit.ly/E2EGPU
Artificial intelligence in practice- part-1GMR Group
Summary is made in 5 parts-
This is Part -1
Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe.
• The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment.
• Artificial intelligence and machine learning are cited as the most important modern business trends to drive success.
• It is used in areas ranging from banking and finance to social media and marketing.
• This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries.
• This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others.
• This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution.
• Each case study provides a comprehensive overview, including some technical details as well as key learning summaries:
o Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations
o Expand your knowledge of recent AI advancements in technology
o Gain insight on the future of AI and its increasing role in business and industry
o Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the trans-formative power of technology in 21st century commerce
The artificial intelligence solutions are the greatest invention of mankind that has taken the technology to a whole new level. Artificial intelligence is used by the IT sector in their systems, software, applications, websites etc.
Check it Out – https://bit.ly/2Cgmd7p
A primer on Artificial Intelligence (AI) and Machine Learning (ML)Yacine Ghalim
Over the past couple of years, we found ourselves investing in 7 AI and ML enabled companies, in areas as diverse as marketing, credit scoring, recruitment, fertility tracking and so on. It appears that we’ve been among the most active European investors in what most people today still view as a “theme”. Most importantly, more and more of our other portfolio companies are starting to adopt these technologies in order to make their products better.
What follows is a presentation that we gave to our LPs at our most recent investor day in February. We tried to give them a primer on these technologies: what they are ; why we are all talking about them now ; and how we, at Sunstone, are thinking about investing in those companies.
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.
The following topics are covered in this video: 1. What Is Artificial Intelligence? 2. Applications of Artificial Intelligence. 3. What is meant by acting humanly? 4. What is meant by thinking humanly? 5. What is meant by thinking rationally? 6. What is meant by acting rationally?
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. A presentation that a layman could understand and have basic knowledge and concept of coming technology.
What is AI and how it works? What is early history of AI. what are risks and benefits of AI? Current status and future of AI. General perceptions about AI. Achievement of AI. Will AI be more beneficent or more destructive?
Top 10 Applications Of Artificial Intelligence | EdurekaEdureka!
YouTube Link: https://youtu.be/Y46zXHvUB1s
** Machine Learning Masters Program: https://www.edureka.co/masters-progra... **
This Edureka session on Applications Of Artificial Intelligence will help you understand how AI is impacting various domains such as banking, marketing, healthcare and so on.
Following are the topics covered in this PPT:
AI In Artificial Creativity
AI In Social Media
AI In Chatbots
AI In Autonomous Vehicles
AI In Space Exploration
AI In Gaming
AI In Banking & Finance
AI In Agriculture
AI In Healthcare
AI In Marketing
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Machine learning. Artificial intelligence's influence on marketing.Alina Hueckelkamp
This presentation shows how machine learning influence marketing. The algorithm selecting content on mobile devices based on their relevance answering needs. The url internet as we know is less and less visited. The Alpha Apps are taking over. All big players are working on their own personal assistants trying to predict what we want, directly acting on our needs. So what is marketing role in future and how can you marketing when an self-learning algorithm is your audience?
Object Automation Software Solutions Pvt Ltd in collaboration with SRM Ramapuram delivered Workshop for Skill Development on Artificial Intelligence.
Introduction to AI by Mr.Vaibhav Raja, Research Scholar from Object Automation.
Artificial Intelligence Vs Machine Learning Vs Deep Learningvenkatvajradhar1
This technology is no longer a matter of science fiction. Instead, we see artificial intelligence in every part of our lives. Smart assistants are on our phones and speakers, helping us find information and complete everyday tasks. At work, chatbots are affiliated with the Customer Support Team, with estimates that they will be responsible for 85% of customer service by next year.
Game changing AI Startups need great AI system. Learn the basic concepts and importance of AI to change the way you build a Startup. Its time to identify and develop skill sets to make better decisions.
Accelerate #AI workloads with Tesla V100 on #E2ECloud : http://bit.ly/E2EGPU
Artificial intelligence in practice- part-1GMR Group
Summary is made in 5 parts-
This is Part -1
Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe.
• The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment.
• Artificial intelligence and machine learning are cited as the most important modern business trends to drive success.
• It is used in areas ranging from banking and finance to social media and marketing.
• This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries.
• This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others.
• This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution.
• Each case study provides a comprehensive overview, including some technical details as well as key learning summaries:
o Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations
o Expand your knowledge of recent AI advancements in technology
o Gain insight on the future of AI and its increasing role in business and industry
o Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the trans-formative power of technology in 21st century commerce
Artificial intelligence (AI) mimics human intelligence and falls under the field of computer science. In simple words, AI develops intelligent systems that has the power to simulate human intelligence. It is constituted of two words “Artificial” and “Intelligence” which is defined as “a human-made thinking power.”
On the other hand, ML falls under the umbrella term of artificial intelligence. It is a subset whereas AI is the overall subject of acting smart. ML processes data and learns facts which could be difficult for humans due to any reason. ML has the potency to think and act beyond human intelligence. It is best to leverage this technology for managing humongous sets of data rapidly with the help of algorithms which erratically change and get better over time.
AI Revolution_ How AI is Revolutionizing Technology.pdfJPLoft Solutions
Beyond the technical aspects, the ethical component considers implementing moral principles and designing AI systems in our studies. From healthcare, finance, and cybersecurity, our team will look at how AI changes how we work by enabling unprecedented technological breakthroughs.
leewayhertz.com-How to build an AI app.pdfrobertsamuel23
The power and potential of artificial intelligence cannot be overstated. It has transformed
how we interact with technology, from introducing us to robots that can perform tasks
with precision to bringing us to the brink of an era of self-driving vehicles and rockets
This technology is no longer a matter of science fiction. Instead, we see artificial intelligence in every part of our lives. Smart assistants are on our phones and speakers, helping us find information and complete everyday tasks. At work, chatbots are affiliated with the Customer Support Team, with estimates that they will be responsible for 85% of customer service by next year.
A quick guide to artificial intelligence working - TechaheadJatin Sapra
It is already on its way to achieving so as it has empowered the mobile app development agencies to build what was once assumed impossible. Despite this, much of this field remains undiscovered.
Deep learning vs. machine learning what business leaders need to knowSameerShaik43
Artificial intelligence isn’t the future — it is the present. Already, businesses are deploying AI tools in a variety of ways: improving marketing and sales, guiding research and development, streamlining IT, automating HR and more.
https://www.tycoonstory.com/technology/deep-learning-vs-machine-learning-what-business-leaders-need-to-know/
Artificial Intelligence and Machine Learning.docxNetiApps
People tend to use artificial intelligence (AI) and machine learning (ML) interchangeably, specifically, when discussing huge data, predictive analytics, and other arithmetical transformation topics. This confusion is bound as artificial intelligence and machine learning are relatively used. Nonetheless, these trending technologies differ in several ways, including scale, tools, applications etc.
Click the link to read more - https://www.netiapps.com/blogs/artificial-intelligence-machine-learning#
The power and potential of artificial intelligence cannot be overstated. It has transformed how we interact with technology, from introducing us to robots that can perform tasks with precision to bringing us to the brink of an era of self-driving vehicles and rockets. And this is just the beginning. With a staggering 270% growth in business adoption in the past four years, it has been clear that AI is not just a tool for solving mathematical problems but a transformative force that will shape the future of our society and economy.
Artificial Intelligence (AI) has become an increasingly common presence in our lives, from robots that can perform tasks with precision to autonomous cars that are changing how we travel. It has become an essential part of everything, from large-scale manufacturing units to the small screens of our smartwatches. Today, companies of all sizes and industries are turning to AI to improve customer satisfaction and boost sales. AI is the next big thing, making its way into the inner workings of Fortune 500 companies to help them automate their business processes. Investing in AI can be beneficial for businesses looking to stay competitive in a fast-paced business world.
This step-by-step guide will show you how to build and use an AI app. Whether you are a researcher, business owner or just curious about AI technology, these instructions will help you navigate the steps of creating an AI system that can transform your industry.
Artificial intelligence (AI) is a field of computer science that focuses on solving cognitive programs associated with human intelligence, such as pattern recognition, problem-solving and learning. AI refers to the use of advanced technology, such as robotics, in futuristic scenarios.
Building an AI App: A Comprehensive Guide for BeginnersChristopherTHyatt
"Discover the steps to create your own AI app: Choose a framework, define your app's purpose, collect and prepare data, train the model, integrate a user-friendly interface, and deploy successfully."
Ai artificial intelligence professional vocabulary collectionRuchi Jain
AI is expanding with an edge on the mainstream breakthrough. AI will be involved in all spheres of our life in future. It is important for us to understand what AI is, what it’s terms means, and what are the AI terminologies. Below are some AI terms.
We, NuAIg helps businesses to reap the benefit of AI for their revenue growth with cost reduction.
The future of artificial intelligence in the workplaceONPASSIVE
Onpassive is the most advanced Artificial Intelligence-driven digital tool which helps any IT company to improve their outreach & productivity. It is an application that provides computer systems with the ability to learn and grow from experience without being explicitly programmed automatically.
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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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.
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
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.
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.
3. From autonomous driving to
predictive analytics, robotic
manufacturing to smart
homes, how we live, work
and play is impacted in
profound ways.
4. As talk of AI and machine
learning permeates our
world, the benefits for
businesses are getting lost
in a sea of technical jargon
and prognostication by
experts from all walks of life.
5. At the end of the day, data
is the fuel for any machine
learning algorithm and it’s
common for the terms
used to describe how that
data is used to become
confusing.
6. As folks who love data, machines, and especially
people, we decided to put together a helpful
guide to machine learning and the terms that
businesses should know as they look to
navigate this exciting and complex frontier of
technological advancement.
8. Artificial intelligence is building
technology that behaves like a human.
Self-driving cars, Siri, smart homes, and
many other emerging technologies are
examples of AI.
Artificial Intelligence
9. Machine learning is a subset of AI that
uses algorithms to learn from data sets.
Using data and algorithms, machine
learning technologies make intelligent
predictions, similar to that of a human,
but at scale.
Machine Learning
10. In machine learning, the
framework is developed
and data is provided, so
that machines can teach
themselves what they
need to know and
understand what to do.
11. Classification is when a set of data
trains a machine to identify certain
inputs or observations, and based on
those, assign them to certain outputs
or categories.
Classification
12. Classification is an example of supervised
learning, because it uses a set of labeled data
examples and classifies any new data into
those sets.
13. Annotation
In the traditional sense, an annotation
is when we reference a piece of
information back to the original source
or to additional, relevant data. In
machine learning, it’s very similar.
14. In order to be able to perform sophisticated functions like
understanding and responding to human language and verbal
commands, computers need to be able to find patterns and make
inferences from the data. This is done by creating annotated examples
that are in the background of datasets.
15. Image Tagging
Image tagging is the simple act of
identifying objects, categories, or even
human gestures to help organize data
for ground truth data sets and ongoing
machine learning applications.
16. Facial Recognition
Facial recognition has primarily been
used for security purposes, but new
possibilities in marketing and
enhanced UX have made facial
recognition an important aspect of
machine learning.
17. Natural Language Processing
Natural language processing or NLP is
the ability for computers to interact in
dialogue with humans, either audibly or
through text. NLP machine learning
technologies are built to understand
and communicate with human
languages...think of your favorite
chatbot :-)
18. Communication is one of the most natural
functions for humans, so it’s crucial to develop
natural language processing in AI.
Technologies like Siri, Amazon Echo, and
Google Home operate using NLP-based
algorithms.
19. Sentiment Analysis
Sentiment analysis, also called opinion
mining, is the process of studying
words and determining their emotional
meaning. In other words, you track
what people say about you online and
determine if those statements are
positive, negative, or neutral.
20. Landmarking
Landmark recognition is the ability for
technology to identify a building,
physical object or landmark. To do this,
technology relies on large amounts of
image data and smart algorithms.
21. Machine learning is revolutionizing
how we live, work, play, and interact
with the world around us. It holds the
potential to augment human
capabilities to make us smarter and
more productive than ever.
22. CloudFactory is helping companies by providing human
intelligence to create accurate training data sets that
improve machine learning algorithms. Whether that’s in
the form of annotating images, identifying classifiers,
drawing bounding boxes, labeling objects or analyzing
text for NLP, we’ve made it super easy to offload that
work, by spinning up a WorkStream, which empowers
data teams and engineers to focus on innovating the next
generation of AI that very well may change the world.
23. About
CloudFactory CloudFactory makes it super EASY to offload data
work so our customers can focus on innovation and
growth. We specialize in preparing and organizing
data sets and work with companies like Microsoft,
Embark, Drive.ai, FaceTec to implement them into
building innovative AI, ML and other complex
technologies.
www.cloudfactory.com
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