Trends in Recruiting and HR: Think Outside of the Proverbial Box: Harness the...Aggregage
This webinar discusses using data to develop targeted recruitment messaging to attract a diverse talent pool. The presenter argues that companies should tailor their messaging to different demographic groups based on data about what motivates each group, rather than using a one-size-fits-all approach. Data from a survey of 52,000 people in the US revealed that different attributes are more important to different groups. For example, messages about high future earnings appeal more to computer science majors, while inspiring purpose ranks higher for natural science majors. The presenter advocates analyzing data on specific audiences to select the messages that will most effectively connect with and attract each group.
We Are Young: Tactics for Hiring Junior DevelopersShelley Reece
This document provides biographies for Katrina Kibben and John Enterline who will be presenting on tactics for hiring junior developers. Katrina Kibben is the founder of a recruitment marketing consultancy and has experience in both marketing and recruiting. John Enterline works in technology staffing and consulting. The presentation agenda includes discussing why tech talent is challenging to find, making the business case for junior developers, building targeted personas, translating personas into strategy and assessments, and sourcing strategies using communities.
The Gig Economy: Preparing High School Students for Careers in 2020College MatchPoint
By 2020, approximately 40% of the U.S. workforce will be engaged in quick “gigs” and project-based work. The reality for many students when they graduate will be, “My grandfather had one job during his lifetime, my mom had six—and I will have six gigs all at the same time.” Most college seniors in 2020 will enter the workforce managing a series of projects, rather than dedicate years of service to any particular organization. This presentation will focus on how early career discovery during the college planning process can better prepare students for this new career reality, including tools for developing expertise in project settings aligned to the student’s aptitudes and interests.
Project>Login: From Curiosity to CareerJay Collier
The demand for computing and IT professionals is growing nationally, and these are well-compensated careers for those who are passionate about technology. Unfortunately, in Maine, as elsewhere, too few young and adult learners are discovering this profession, mastering foundational skills, and gaining relevant experience to succeed.
Maine’s Project>Login has been working with students, teachers, and professionals to chart a course from curiosity to career: from playing and tinkering to making and studying to mastering the practices and competencies that will help them thrive in their future roles: at home, at work, and in the community.
How can we help young and adults learners discover, explore, and pursue pathways to the computing and IT profession?
Three key insights about what high tech professionals in the US and Canada want from recruiters:
1. 65% of high tech professionals are passive candidates, meaning they are open to new opportunities but not actively job searching.
2. The top three factors that would entice high tech professionals to accept a new job are better compensation, improved work-life balance, and ability to make an impact.
3. When first contacted by recruiters, high tech professionals want to understand why the recruiter believes they are a good fit for the role.
This document provides an overview of data science as a career field in 2022. It introduces the author and their background and experience in data science. The document then discusses the knowledge and skills required for data science, popular domains of data science work, common job titles and demand, pros and cons of the field, pathways for learning, and how to find projects. The key points covered are the versatility of data science, in-demand nature of the field, importance of technical and domain knowledge, opportunities in startups and large companies, and emphasis on building skills, networks, and an online portfolio.
Becoming a developer getting started (3:23)Thinkful
This document summarizes how to become a developer, including learning programming languages like JavaScript and Python. It discusses how the tech industry is growing and there will be 1.4 million computer science jobs by 2020. It recommends building a portfolio through side projects on sites like GitHub and getting referrals for jobs since 80% of openings are never advertised. Finally, it describes Thinkful's coding bootcamp program that provides mentorship to help students learn coding skills and get jobs.
Getting started in Data Science (April 2017, Los Angeles)Thinkful
The document discusses the rise of data science and the skills needed for data scientists. It defines data science as the intersection of engineering, statistics, and communication. Data scientists analyze large datasets to answer important business questions. The document uses LinkedIn in 2006 as a case study, outlining how a data scientist there framed questions, collected and processed user data, explored patterns, and communicated results to improve the user experience and growth. It highlights tools like SQL, analytics software, and machine learning that data scientists use and stresses the importance of curiosity, technical skills, and strong communication for those interested in the field.
Trends in Recruiting and HR: Think Outside of the Proverbial Box: Harness the...Aggregage
This webinar discusses using data to develop targeted recruitment messaging to attract a diverse talent pool. The presenter argues that companies should tailor their messaging to different demographic groups based on data about what motivates each group, rather than using a one-size-fits-all approach. Data from a survey of 52,000 people in the US revealed that different attributes are more important to different groups. For example, messages about high future earnings appeal more to computer science majors, while inspiring purpose ranks higher for natural science majors. The presenter advocates analyzing data on specific audiences to select the messages that will most effectively connect with and attract each group.
We Are Young: Tactics for Hiring Junior DevelopersShelley Reece
This document provides biographies for Katrina Kibben and John Enterline who will be presenting on tactics for hiring junior developers. Katrina Kibben is the founder of a recruitment marketing consultancy and has experience in both marketing and recruiting. John Enterline works in technology staffing and consulting. The presentation agenda includes discussing why tech talent is challenging to find, making the business case for junior developers, building targeted personas, translating personas into strategy and assessments, and sourcing strategies using communities.
The Gig Economy: Preparing High School Students for Careers in 2020College MatchPoint
By 2020, approximately 40% of the U.S. workforce will be engaged in quick “gigs” and project-based work. The reality for many students when they graduate will be, “My grandfather had one job during his lifetime, my mom had six—and I will have six gigs all at the same time.” Most college seniors in 2020 will enter the workforce managing a series of projects, rather than dedicate years of service to any particular organization. This presentation will focus on how early career discovery during the college planning process can better prepare students for this new career reality, including tools for developing expertise in project settings aligned to the student’s aptitudes and interests.
Project>Login: From Curiosity to CareerJay Collier
The demand for computing and IT professionals is growing nationally, and these are well-compensated careers for those who are passionate about technology. Unfortunately, in Maine, as elsewhere, too few young and adult learners are discovering this profession, mastering foundational skills, and gaining relevant experience to succeed.
Maine’s Project>Login has been working with students, teachers, and professionals to chart a course from curiosity to career: from playing and tinkering to making and studying to mastering the practices and competencies that will help them thrive in their future roles: at home, at work, and in the community.
How can we help young and adults learners discover, explore, and pursue pathways to the computing and IT profession?
Three key insights about what high tech professionals in the US and Canada want from recruiters:
1. 65% of high tech professionals are passive candidates, meaning they are open to new opportunities but not actively job searching.
2. The top three factors that would entice high tech professionals to accept a new job are better compensation, improved work-life balance, and ability to make an impact.
3. When first contacted by recruiters, high tech professionals want to understand why the recruiter believes they are a good fit for the role.
This document provides an overview of data science as a career field in 2022. It introduces the author and their background and experience in data science. The document then discusses the knowledge and skills required for data science, popular domains of data science work, common job titles and demand, pros and cons of the field, pathways for learning, and how to find projects. The key points covered are the versatility of data science, in-demand nature of the field, importance of technical and domain knowledge, opportunities in startups and large companies, and emphasis on building skills, networks, and an online portfolio.
Becoming a developer getting started (3:23)Thinkful
This document summarizes how to become a developer, including learning programming languages like JavaScript and Python. It discusses how the tech industry is growing and there will be 1.4 million computer science jobs by 2020. It recommends building a portfolio through side projects on sites like GitHub and getting referrals for jobs since 80% of openings are never advertised. Finally, it describes Thinkful's coding bootcamp program that provides mentorship to help students learn coding skills and get jobs.
Getting started in Data Science (April 2017, Los Angeles)Thinkful
The document discusses the rise of data science and the skills needed for data scientists. It defines data science as the intersection of engineering, statistics, and communication. Data scientists analyze large datasets to answer important business questions. The document uses LinkedIn in 2006 as a case study, outlining how a data scientist there framed questions, collected and processed user data, explored patterns, and communicated results to improve the user experience and growth. It highlights tools like SQL, analytics software, and machine learning that data scientists use and stresses the importance of curiosity, technical skills, and strong communication for those interested in the field.
Digital Business Introduction & Learning Thought StartersRunway Digital
Digital Business, organisation changes, digital disruption, privacy, ethics and social media are all included. This was presented at a conference for 100 local and global leaders in Australia.
Knowledge-intensive and innovation-led globalized world
Everyone competes with everyone, self-branding on the rise
The less competent are replaced by those who, in other parts of the world, can do the same for less
The rate of change of the economy requires creative and differentiated workforce
The ability to create value, with creativity and competence, becomes essential for survival in the labor market
But the uniformity of school systems produces almost undifferentiated workforce
This document provides an overview of data science including its importance, what data scientists do, how the field has emerged, and how to become a data scientist. It discusses how data science can help answer important business questions using LinkedIn in 2006 as a case study. It also outlines the typical data science process of framing questions, collecting and cleaning data, exploring patterns, and communicating results. Finally, it introduces some common data science tools like SQL, analytics software, and machine learning algorithms and discusses options for continuing education in data science.
Bob Carlton, Educational Consultant
Rich Feller, Chief Scientist, YouScience
By 2020, approximately 40% of the U.S. workforce will be engaged in quick “gigs” and project-based work. Most college seniors in 2020 will enter the workforce managing a series of projects, rather than dedicating years of service to any particular organization. This session will focus on how early career discovery during the college planning process can better prepare students for this new career reality, including tools for developing expertise in project settings aligned to the student’s aptitudes and interests.
Leading and leaning-in on Ai in Recruitment
● What is Ai and why does it matter?
● What value does Ai add to the recruitment life cycle?
● What risks should you be aware of?
● Key questions to ask to evaluate and mitigate risks
● The FAIR™ Framework
● The Power of intelligent chat to Hire with Heart
This document provides an introduction to data science, including what it is, how the field has emerged due to big data, and the roles and skills of data scientists. It discusses how data scientists at LinkedIn used data analysis to improve their product's user connections feature. The data science process of framing questions, collecting and processing data, exploring for patterns, and communicating results is also outlined. Finally, the document discusses tools used in data science like SQL, data visualization software, and machine learning algorithms.
This document discusses the challenges of the job market in Taiwan for foreigners, including limited diverse opportunities, resources for job seekers, and unclear legal and HR requirements. It also notes the huge demand for skilled foreign workers but few job openings. The document proposes the "All Hands" initiative to address these issues by serving job-seeking and hiring communities in Taiwan through making valuable information and resources available and accessible.
Become a Data Scientist: A Thinkful Info SessionThinkful
This document summarizes an information session about Thinkful's data science bootcamp program. It discusses what data science is, how Thinkful teaches through 1:1 mentorship and projects, and guarantees job placement within 6 months or a refund. The agenda covers what data science is, their teaching approach, an overview of the Python-focused curriculum, pricing, and a free sample course.
Barry Condrey provides advice on job searching techniques for those who have recently lost their jobs or are underemployed. He emphasizes creating a plan that focuses networking efforts and skills development in areas aligned with one's career objectives. Regularly using both online and offline networks is key to finding new opportunities. Maintaining optimism and a commitment to continuous learning will help weather career transitions.
LA 1/18/18 Become A Web Developer: A Thinkful Info SessionThinkful
This document summarizes an information session about Thinkful's web development bootcamp programs. It discusses how coding skills are becoming essential for many jobs, and how Thinkful offers 1-on-1 mentorship, project-based learning, and a job guarantee for its full-stack JavaScript programs. Students can choose between a flexible part-time program for $8,550 or an immersive full-time program for $14,000.
This document summarizes a panel discussion on best practices for job applicants. The panelists were recruitment and HR professionals who provided advice in three areas: resumes and qualifications, getting noticed by employers, and interviewing successfully. They recommended focusing on relevant work experience and accomplishments on resumes. Getting referrals, internships, and engaging appropriately on LinkedIn, blogs and Twitter can help applicants get noticed. Being well-prepared, enthusiastic, and asking insightful questions leads to strong interviews.
Why Should Communicators Learn to Code?Cindy Royal
This document discusses why communicators should learn to code. It notes that coding teaches important critical thinking skills and will be important for both individual careers and society. The document then provides examples of tasks that coding skills would allow communicators to do, such as tweaking content management systems, scraping data from websites, and creating interactive charts. It argues that as technology and digital media evolve, coding will be an essential skill for journalists and communicators to remain innovative and tell data-driven stories.
10 Tips for Getting Campus Recruiting RightGlassdoor
The document provides 10 tips for effective campus recruiting. It begins with an introduction to Generation Z and what matters most to them, such as entrepreneurship, career growth opportunities, and transparency from employers.
The tips include building an authentic employer brand online, showcasing the employee value proposition, developing internship programs, making the application process easy on mobile, focusing career conversations on meaningful work, and creating clear career paths. Emphasis is placed on human connection through campus visits and follow ups with candidates.
Integrating an effective career development program in 2 and 4 year schools is outlined by Danny Huffman of Career Services International. All Rights Reserved.
#FIRMday London 27 Nov 2014 James Bywater Talent Q " Making the right impact ...Emma Mirrington
To reflect on the impact of social media on employer brand and recruitment practices.
To consider the Good, the Bad and the Ugly of using social media in recruitment.
To share the warning signs of ‘toxic assessment’ and some tips to prevent them
This document provides an introduction to data science. It discusses how the field has emerged due to big data and the shortage of people with deep analytical skills. It describes the roles and skills of data scientists, including collecting, processing, exploring, and communicating data. The document uses LinkedIn as a case study example to illustrate the data science process. It also outlines some common tools used in data science, such as SQL, data visualization software, and machine learning algorithms. Finally, it discusses learning data science through bootcamp programs and mentorship.
Are We Generation AI? An Introduction to Applications, Benefits, and Challenges of AI for Small and Medium Sized Business. Presented at the WIN.fbg meeting in Fredericksburg, TX on April 11, 2023.
The document provides an overview of trends in the information technology field, including green IT, increasing salaries for IT workers, growth in cloud computing, and increased mobility. It discusses how green IT is leading companies to look to their IT departments for solutions to reduce energy costs and environmental impact. It also notes that while salaries for IT workers have increased slightly recently, they are likely to level off as more people enter the field. The document concludes by explaining how cloud computing adoption is growing rapidly as companies virtualize their infrastructure, and how mobility now involves enabling mobile access to data through various devices.
This document provides an overview of data science including its importance, what data scientists do, how the field has emerged, and how to become a data scientist. It notes that by 2018 the US could face shortages of people with data analytics skills. It then discusses how LinkedIn's early growth in 2006 exemplifies the data science process of framing questions, collecting and processing data, exploring patterns, and communicating results. Finally, it outlines the tools used in data science like SQL, analytics software, and machine learning and discusses getting started in the field through education, curiosity, and ongoing learning with mentorship support.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Digital Business Introduction & Learning Thought StartersRunway Digital
Digital Business, organisation changes, digital disruption, privacy, ethics and social media are all included. This was presented at a conference for 100 local and global leaders in Australia.
Knowledge-intensive and innovation-led globalized world
Everyone competes with everyone, self-branding on the rise
The less competent are replaced by those who, in other parts of the world, can do the same for less
The rate of change of the economy requires creative and differentiated workforce
The ability to create value, with creativity and competence, becomes essential for survival in the labor market
But the uniformity of school systems produces almost undifferentiated workforce
This document provides an overview of data science including its importance, what data scientists do, how the field has emerged, and how to become a data scientist. It discusses how data science can help answer important business questions using LinkedIn in 2006 as a case study. It also outlines the typical data science process of framing questions, collecting and cleaning data, exploring patterns, and communicating results. Finally, it introduces some common data science tools like SQL, analytics software, and machine learning algorithms and discusses options for continuing education in data science.
Bob Carlton, Educational Consultant
Rich Feller, Chief Scientist, YouScience
By 2020, approximately 40% of the U.S. workforce will be engaged in quick “gigs” and project-based work. Most college seniors in 2020 will enter the workforce managing a series of projects, rather than dedicating years of service to any particular organization. This session will focus on how early career discovery during the college planning process can better prepare students for this new career reality, including tools for developing expertise in project settings aligned to the student’s aptitudes and interests.
Leading and leaning-in on Ai in Recruitment
● What is Ai and why does it matter?
● What value does Ai add to the recruitment life cycle?
● What risks should you be aware of?
● Key questions to ask to evaluate and mitigate risks
● The FAIR™ Framework
● The Power of intelligent chat to Hire with Heart
This document provides an introduction to data science, including what it is, how the field has emerged due to big data, and the roles and skills of data scientists. It discusses how data scientists at LinkedIn used data analysis to improve their product's user connections feature. The data science process of framing questions, collecting and processing data, exploring for patterns, and communicating results is also outlined. Finally, the document discusses tools used in data science like SQL, data visualization software, and machine learning algorithms.
This document discusses the challenges of the job market in Taiwan for foreigners, including limited diverse opportunities, resources for job seekers, and unclear legal and HR requirements. It also notes the huge demand for skilled foreign workers but few job openings. The document proposes the "All Hands" initiative to address these issues by serving job-seeking and hiring communities in Taiwan through making valuable information and resources available and accessible.
Become a Data Scientist: A Thinkful Info SessionThinkful
This document summarizes an information session about Thinkful's data science bootcamp program. It discusses what data science is, how Thinkful teaches through 1:1 mentorship and projects, and guarantees job placement within 6 months or a refund. The agenda covers what data science is, their teaching approach, an overview of the Python-focused curriculum, pricing, and a free sample course.
Barry Condrey provides advice on job searching techniques for those who have recently lost their jobs or are underemployed. He emphasizes creating a plan that focuses networking efforts and skills development in areas aligned with one's career objectives. Regularly using both online and offline networks is key to finding new opportunities. Maintaining optimism and a commitment to continuous learning will help weather career transitions.
LA 1/18/18 Become A Web Developer: A Thinkful Info SessionThinkful
This document summarizes an information session about Thinkful's web development bootcamp programs. It discusses how coding skills are becoming essential for many jobs, and how Thinkful offers 1-on-1 mentorship, project-based learning, and a job guarantee for its full-stack JavaScript programs. Students can choose between a flexible part-time program for $8,550 or an immersive full-time program for $14,000.
This document summarizes a panel discussion on best practices for job applicants. The panelists were recruitment and HR professionals who provided advice in three areas: resumes and qualifications, getting noticed by employers, and interviewing successfully. They recommended focusing on relevant work experience and accomplishments on resumes. Getting referrals, internships, and engaging appropriately on LinkedIn, blogs and Twitter can help applicants get noticed. Being well-prepared, enthusiastic, and asking insightful questions leads to strong interviews.
Why Should Communicators Learn to Code?Cindy Royal
This document discusses why communicators should learn to code. It notes that coding teaches important critical thinking skills and will be important for both individual careers and society. The document then provides examples of tasks that coding skills would allow communicators to do, such as tweaking content management systems, scraping data from websites, and creating interactive charts. It argues that as technology and digital media evolve, coding will be an essential skill for journalists and communicators to remain innovative and tell data-driven stories.
10 Tips for Getting Campus Recruiting RightGlassdoor
The document provides 10 tips for effective campus recruiting. It begins with an introduction to Generation Z and what matters most to them, such as entrepreneurship, career growth opportunities, and transparency from employers.
The tips include building an authentic employer brand online, showcasing the employee value proposition, developing internship programs, making the application process easy on mobile, focusing career conversations on meaningful work, and creating clear career paths. Emphasis is placed on human connection through campus visits and follow ups with candidates.
Integrating an effective career development program in 2 and 4 year schools is outlined by Danny Huffman of Career Services International. All Rights Reserved.
#FIRMday London 27 Nov 2014 James Bywater Talent Q " Making the right impact ...Emma Mirrington
To reflect on the impact of social media on employer brand and recruitment practices.
To consider the Good, the Bad and the Ugly of using social media in recruitment.
To share the warning signs of ‘toxic assessment’ and some tips to prevent them
This document provides an introduction to data science. It discusses how the field has emerged due to big data and the shortage of people with deep analytical skills. It describes the roles and skills of data scientists, including collecting, processing, exploring, and communicating data. The document uses LinkedIn as a case study example to illustrate the data science process. It also outlines some common tools used in data science, such as SQL, data visualization software, and machine learning algorithms. Finally, it discusses learning data science through bootcamp programs and mentorship.
Are We Generation AI? An Introduction to Applications, Benefits, and Challenges of AI for Small and Medium Sized Business. Presented at the WIN.fbg meeting in Fredericksburg, TX on April 11, 2023.
The document provides an overview of trends in the information technology field, including green IT, increasing salaries for IT workers, growth in cloud computing, and increased mobility. It discusses how green IT is leading companies to look to their IT departments for solutions to reduce energy costs and environmental impact. It also notes that while salaries for IT workers have increased slightly recently, they are likely to level off as more people enter the field. The document concludes by explaining how cloud computing adoption is growing rapidly as companies virtualize their infrastructure, and how mobility now involves enabling mobile access to data through various devices.
This document provides an overview of data science including its importance, what data scientists do, how the field has emerged, and how to become a data scientist. It notes that by 2018 the US could face shortages of people with data analytics skills. It then discusses how LinkedIn's early growth in 2006 exemplifies the data science process of framing questions, collecting and processing data, exploring patterns, and communicating results. Finally, it outlines the tools used in data science like SQL, analytics software, and machine learning and discusses getting started in the field through education, curiosity, and ongoing learning with mentorship support.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
9. IT Job Examples
9
Software Developer
• Web Developer
• Mobile Developer
• Game Developer
Database
Administrator
Information
Security
Analyst
IT Project
Manager
IT Support
Specialist
Data
Scientist
UX/UI
Designer
10. Salary information
10
Entry Level Salary Mid Level Salary Job Focus
Web Developer ~$80,000 ~$120,000 Build Things
IT Support
Specialist ~$60,000 ~$90,000
Support
Customers
IT Project Manager ~$70,000 ~$100,000
Implement
Projects
14. Different options are available
14
Associate’s
Degree
Bachelor’s
Degree
Boot camp
Self Study
15. Consider these when evaluating options
15
●Cost
●Location
●Credibility
●Your Learning Style
Do your research & reach out to people
who can help you pick the best path!
16. Path Example 1 – BCC then UC Berkeley
16
● 2 years in community college,
then 2 years in a traditional
university
● Community college tuition is
about $3k a year
● 4-year university tuition is $20,000
a year
17. Path Example 2 – Learner’s Guild
17
● Oakland boot camp with no
upfront cost; 6-months
● Must be passionate about
web development
● Learn with diverse peers and
teachers
learnersguild.org
18. I’m passionate about diversity
18
●There’s a gap here in Instagram’s workforce data:
○33% are female (US population is 50% female)
○4% are Latino (US population is 12% Latino)
○2% are Black (US population is 12% Black)
●Why could these gaps be problematic?
19. Evidence that diversity is valuable
19
●Fact: Diverse companies have better outcomes and
make more money
21. How to find your authentic career path
21
● Define your plan and follow through. Trial and
error plus consistent hard work.
● Ask for help!
● Be aware of “Impostor Syndrome”
22. 22
● IT careers are in high demand! Especially health
IT
● Make the most of the resources around you
● You control your career destiny
Takeaways
Ask audience: Has anyone here built a website? Taken a coding class?
5 minute demo with workshop attendees: https://my.headspace.com/packs/1
Process? People?
Trivia: What job was rated #1 Technology Job by USNews? (Factors: Salary, Job Growth, etc)
Source: Bureau of Labor Statistics - https://www.bls.gov/emp/ep_table_104.htm
Average salary depends on location, company, and other factors
Cost
Community College In State $4k tuition/year
4 Year University In State $20k tuition/year plus housing costs
Boot camp ranges from free to $10k upfront
Cost
Community College In State $4k tuition/year
4 Year University In State $20k tuition/year plus housing costs
Boot camp ranges from free to $10k upfront
Source: Information is Beautiful (2016 data set) - https://informationisbeautiful.net/visualizations/diversity-in-tech/
Source: Business Insider - https://www.washingtonpost.com/blogs/she-the-people/wp/2014/11/26/diversity-is-good-why-doesnt-everyone-agree/?utm_term=.a821f0188bc2
A Gallup survey of American retail and hospitality businesses found that gender-diverse retail and hospitality companies have better financial outcomes than those dominated by one gender.
Global companies with at least one woman on the board have higher average returns on equity, lower debt ratios and better average growth, according to a study of more than 2,000 global companies by the Credit Suisse Research Institute.
Scientific research is of a higher quality when done by a diverse research group.
More info on Impostor Syndrome: https://www.nytimes.com/2015/10/26/your-money/learning-to-deal-with-the-impostor-syndrome.html