Junior lawyers, analysts and associates working at financial or legal advisory firms in M&A look forward to rewarding careers. Whilst the rewards are high for those who make it, this line of work can be extremely demanding. Working against the clock in high-stakes environments, these individuals work long hours and sacrifice weekends; with work/life balance taking such a hit, it is important to identify the culprit – the lengthy, laborious and sometimes inefficient due diligence (DD) process.
Virtual data rooms and vendor due diligence have given sellers more control in the M&A process. But with an economic cooldown on the horizon, how can sellers continue to maximise their chances of success?
Imprima | How AI is Changing Legal Due DiligenceImprima
Fears that artificial intelligence technology would automate professional jobs and create mass redundancies swept through the legal sector a few years ago – as it did through many professional services industries. While those fears have proved unfounded, AI technology is beginning to change how legal due diligence is conducted.
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
Product Design Trends in 2024 | Teenage EngineeringsPixeldarts
The realm of product design is a constantly changing environment where technology and style intersect. Every year introduces fresh challenges and exciting trends that mold the future of this captivating art form. In this piece, we delve into the significant trends set to influence the look and functionality of product design in the year 2024.
How Race, Age and Gender Shape Attitudes Towards Mental HealthThinkNow
Mental health has been in the news quite a bit lately. Dozens of U.S. states are currently suing Meta for contributing to the youth mental health crisis by inserting addictive features into their products, while the U.S. Surgeon General is touring the nation to bring awareness to the growing epidemic of loneliness and isolation. The country has endured periods of low national morale, such as in the 1970s when high inflation and the energy crisis worsened public sentiment following the Vietnam War. The current mood, however, feels different. Gallup recently reported that national mental health is at an all-time low, with few bright spots to lift spirits.
To better understand how Americans are feeling and their attitudes towards mental health in general, ThinkNow conducted a nationally representative quantitative survey of 1,500 respondents and found some interesting differences among ethnic, age and gender groups.
Technology
For example, 52% agree that technology and social media have a negative impact on mental health, but when broken out by race, 61% of Whites felt technology had a negative effect, and only 48% of Hispanics thought it did.
While technology has helped us keep in touch with friends and family in faraway places, it appears to have degraded our ability to connect in person. Staying connected online is a double-edged sword since the same news feed that brings us pictures of the grandkids and fluffy kittens also feeds us news about the wars in Israel and Ukraine, the dysfunction in Washington, the latest mass shooting and the climate crisis.
Hispanics may have a built-in defense against the isolation technology breeds, owing to their large, multigenerational households, strong social support systems, and tendency to use social media to stay connected with relatives abroad.
Age and Gender
When asked how individuals rate their mental health, men rate it higher than women by 11 percentage points, and Baby Boomers rank it highest at 83%, saying it’s good or excellent vs. 57% of Gen Z saying the same.
Gen Z spends the most amount of time on social media, so the notion that social media negatively affects mental health appears to be correlated. Unfortunately, Gen Z is also the generation that’s least comfortable discussing mental health concerns with healthcare professionals. Only 40% of them state they’re comfortable discussing their issues with a professional compared to 60% of Millennials and 65% of Boomers.
Race Affects Attitudes
As seen in previous research conducted by ThinkNow, Asian Americans lag other groups when it comes to awareness of mental health issues. Twenty-four percent of Asian Americans believe that having a mental health issue is a sign of weakness compared to the 16% average for all groups. Asians are also considerably less likely to be aware of mental health services in their communities (42% vs. 55%) and most likely to seek out information on social media (51% vs. 35%).
AI Trends in Creative Operations 2024 by Artwork Flow.pdfmarketingartwork
Creative operations teams expect increased AI use in 2024. Currently, over half of tasks are not AI-enabled, but this is expected to decrease in the coming year. ChatGPT is the most popular AI tool currently. Business leaders are more actively exploring AI benefits than individual contributors. Most respondents do not believe AI will impact workforce size in 2024. However, some inhibitions still exist around AI accuracy and lack of understanding. Creatives primarily want to use AI to save time on mundane tasks and boost productivity.
Virtual data rooms and vendor due diligence have given sellers more control in the M&A process. But with an economic cooldown on the horizon, how can sellers continue to maximise their chances of success?
Imprima | How AI is Changing Legal Due DiligenceImprima
Fears that artificial intelligence technology would automate professional jobs and create mass redundancies swept through the legal sector a few years ago – as it did through many professional services industries. While those fears have proved unfounded, AI technology is beginning to change how legal due diligence is conducted.
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
Product Design Trends in 2024 | Teenage EngineeringsPixeldarts
The realm of product design is a constantly changing environment where technology and style intersect. Every year introduces fresh challenges and exciting trends that mold the future of this captivating art form. In this piece, we delve into the significant trends set to influence the look and functionality of product design in the year 2024.
How Race, Age and Gender Shape Attitudes Towards Mental HealthThinkNow
Mental health has been in the news quite a bit lately. Dozens of U.S. states are currently suing Meta for contributing to the youth mental health crisis by inserting addictive features into their products, while the U.S. Surgeon General is touring the nation to bring awareness to the growing epidemic of loneliness and isolation. The country has endured periods of low national morale, such as in the 1970s when high inflation and the energy crisis worsened public sentiment following the Vietnam War. The current mood, however, feels different. Gallup recently reported that national mental health is at an all-time low, with few bright spots to lift spirits.
To better understand how Americans are feeling and their attitudes towards mental health in general, ThinkNow conducted a nationally representative quantitative survey of 1,500 respondents and found some interesting differences among ethnic, age and gender groups.
Technology
For example, 52% agree that technology and social media have a negative impact on mental health, but when broken out by race, 61% of Whites felt technology had a negative effect, and only 48% of Hispanics thought it did.
While technology has helped us keep in touch with friends and family in faraway places, it appears to have degraded our ability to connect in person. Staying connected online is a double-edged sword since the same news feed that brings us pictures of the grandkids and fluffy kittens also feeds us news about the wars in Israel and Ukraine, the dysfunction in Washington, the latest mass shooting and the climate crisis.
Hispanics may have a built-in defense against the isolation technology breeds, owing to their large, multigenerational households, strong social support systems, and tendency to use social media to stay connected with relatives abroad.
Age and Gender
When asked how individuals rate their mental health, men rate it higher than women by 11 percentage points, and Baby Boomers rank it highest at 83%, saying it’s good or excellent vs. 57% of Gen Z saying the same.
Gen Z spends the most amount of time on social media, so the notion that social media negatively affects mental health appears to be correlated. Unfortunately, Gen Z is also the generation that’s least comfortable discussing mental health concerns with healthcare professionals. Only 40% of them state they’re comfortable discussing their issues with a professional compared to 60% of Millennials and 65% of Boomers.
Race Affects Attitudes
As seen in previous research conducted by ThinkNow, Asian Americans lag other groups when it comes to awareness of mental health issues. Twenty-four percent of Asian Americans believe that having a mental health issue is a sign of weakness compared to the 16% average for all groups. Asians are also considerably less likely to be aware of mental health services in their communities (42% vs. 55%) and most likely to seek out information on social media (51% vs. 35%).
AI Trends in Creative Operations 2024 by Artwork Flow.pdfmarketingartwork
Creative operations teams expect increased AI use in 2024. Currently, over half of tasks are not AI-enabled, but this is expected to decrease in the coming year. ChatGPT is the most popular AI tool currently. Business leaders are more actively exploring AI benefits than individual contributors. Most respondents do not believe AI will impact workforce size in 2024. However, some inhibitions still exist around AI accuracy and lack of understanding. Creatives primarily want to use AI to save time on mundane tasks and boost productivity.
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
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.
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.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
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!
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
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.
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
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Organizational culture includes values, norms, systems, symbols, language, assumptions, beliefs, and habits that influence employee behaviors and how people interpret those behaviors. It is important because culture can help or hinder a company's success. Some key aspects of Netflix's culture that help it achieve results include hiring smartly so every position has stars, focusing on attitude over just aptitude, and having a strict policy against peacocks, whiners, and jerks.
PEPSICO Presentation to CAGNY Conference Feb 2024Neil Kimberley
PepsiCo provided a safe harbor statement noting that any forward-looking statements are based on currently available information and are subject to risks and uncertainties. It also provided information on non-GAAP measures and directing readers to its website for disclosure and reconciliation. The document then discussed PepsiCo's business overview, including that it is a global beverage and convenient food company with iconic brands, $91 billion in net revenue in 2023, and nearly $14 billion in core operating profit. It operates through a divisional structure with a focus on local consumers.
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
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.
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.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
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!
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
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.
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
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Organizational culture includes values, norms, systems, symbols, language, assumptions, beliefs, and habits that influence employee behaviors and how people interpret those behaviors. It is important because culture can help or hinder a company's success. Some key aspects of Netflix's culture that help it achieve results include hiring smartly so every position has stars, focusing on attitude over just aptitude, and having a strict policy against peacocks, whiners, and jerks.
PEPSICO Presentation to CAGNY Conference Feb 2024Neil Kimberley
PepsiCo provided a safe harbor statement noting that any forward-looking statements are based on currently available information and are subject to risks and uncertainties. It also provided information on non-GAAP measures and directing readers to its website for disclosure and reconciliation. The document then discussed PepsiCo's business overview, including that it is a global beverage and convenient food company with iconic brands, $91 billion in net revenue in 2023, and nearly $14 billion in core operating profit. It operates through a divisional structure with a focus on local consumers.
Content Methodology: A Best Practices Report (Webinar)contently
This document provides an overview of content methodology best practices. It defines content methodology as establishing objectives, KPIs, and a culture of continuous learning and iteration. An effective methodology focuses on connecting with audiences, creating optimal content, and optimizing processes. It also discusses why a methodology is needed due to the competitive landscape, proliferation of channels, and opportunities for improvement. Components of an effective methodology include defining objectives and KPIs, audience analysis, identifying opportunities, and evaluating resources. The document concludes with recommendations around creating a content plan, testing and optimizing content over 90 days.
How to Prepare For a Successful Job Search for 2024Albert Qian
The document provides guidance on preparing a job search for 2024. It discusses the state of the job market, focusing on growth in AI and healthcare but also continued layoffs. It recommends figuring out what you want to do by researching interests and skills, then conducting informational interviews. The job search should involve building a personal brand on LinkedIn, actively applying to jobs, tailoring resumes and interviews, maintaining job hunting as a habit, and continuing self-improvement. Once hired, the document advises setting new goals and keeping skills and networking active in case of future opportunities.
A report by thenetworkone and Kurio.
The contributing experts and agencies are (in an alphabetical order): Sylwia Rytel, Social Media Supervisor, 180heartbeats + JUNG v MATT (PL), Sharlene Jenner, Vice President - Director of Engagement Strategy, Abelson Taylor (USA), Alex Casanovas, Digital Director, Atrevia (ES), Dora Beilin, Senior Social Strategist, Barrett Hoffher (USA), Min Seo, Campaign Director, Brand New Agency (KR), Deshé M. Gully, Associate Strategist, Day One Agency (USA), Francesca Trevisan, Strategist, Different (IT), Trevor Crossman, CX and Digital Transformation Director; Olivia Hussey, Strategic Planner; Simi Srinarula, Social Media Manager, The Hallway (AUS), James Hebbert, Managing Director, Hylink (CN / UK), Mundy Álvarez, Planning Director; Pedro Rojas, Social Media Manager; Pancho González, CCO, Inbrax (CH), Oana Oprea, Head of Digital Planning, Jam Session Agency (RO), Amy Bottrill, Social Account Director, Launch (UK), Gaby Arriaga, Founder, Leonardo1452 (MX), Shantesh S Row, Creative Director, Liwa (UAE), Rajesh Mehta, Chief Strategy Officer; Dhruv Gaur, Digital Planning Lead; Leonie Mergulhao, Account Supervisor - Social Media & PR, Medulla (IN), Aurelija Plioplytė, Head of Digital & Social, Not Perfect (LI), Daiana Khaidargaliyeva, Account Manager, Osaka Labs (UK / USA), Stefanie Söhnchen, Vice President Digital, PIABO Communications (DE), Elisabeth Winiartati, Managing Consultant, Head of Global Integrated Communications; Lydia Aprina, Account Manager, Integrated Marketing and Communications; Nita Prabowo, Account Manager, Integrated Marketing and Communications; Okhi, Web Developer, PNTR Group (ID), Kei Obusan, Insights Director; Daffi Ranandi, Insights Manager, Radarr (SG), Gautam Reghunath, Co-founder & CEO, Talented (IN), Donagh Humphreys, Head of Social and Digital Innovation, THINKHOUSE (IRE), Sarah Yim, Strategy Director, Zulu Alpha Kilo (CA).
Trends In Paid Search: Navigating The Digital Landscape In 2024Search Engine Journal
The search marketing landscape is evolving rapidly with new technologies, and professionals, like you, rely on innovative paid search strategies to meet changing demands.
It’s important that you’re ready to implement new strategies in 2024.
Check this out and learn the top trends in paid search advertising that are expected to gain traction, so you can drive higher ROI more efficiently in 2024.
You’ll learn:
- The latest trends in AI and automation, and what this means for an evolving paid search ecosystem.
- New developments in privacy and data regulation.
- Emerging ad formats that are expected to make an impact next year.
Watch Sreekant Lanka from iQuanti and Irina Klein from OneMain Financial as they dive into the future of paid search and explore the trends, strategies, and technologies that will shape the search marketing landscape.
If you’re looking to assess your paid search strategy and design an industry-aligned plan for 2024, then this webinar is for you.
5 Public speaking tips from TED - Visualized summarySpeakerHub
From their humble beginnings in 1984, TED has grown into the world’s most powerful amplifier for speakers and thought-leaders to share their ideas. They have over 2,400 filmed talks (not including the 30,000+ TEDx videos) freely available online, and have hosted over 17,500 events around the world.
With over one billion views in a year, it’s no wonder that so many speakers are looking to TED for ideas on how to share their message more effectively.
The article “5 Public-Speaking Tips TED Gives Its Speakers”, by Carmine Gallo for Forbes, gives speakers five practical ways to connect with their audience, and effectively share their ideas on stage.
Whether you are gearing up to get on a TED stage yourself, or just want to master the skills that so many of their speakers possess, these tips and quotes from Chris Anderson, the TED Talks Curator, will encourage you to make the most impactful impression on your audience.
See the full article and more summaries like this on SpeakerHub here: https://speakerhub.com/blog/5-presentation-tips-ted-gives-its-speakers
See the original article on Forbes here:
http://www.forbes.com/forbes/welcome/?toURL=http://www.forbes.com/sites/carminegallo/2016/05/06/5-public-speaking-tips-ted-gives-its-speakers/&refURL=&referrer=#5c07a8221d9b
ChatGPT and the Future of Work - Clark Boyd Clark Boyd
Everyone is in agreement that ChatGPT (and other generative AI tools) will shape the future of work. Yet there is little consensus on exactly how, when, and to what extent this technology will change our world.
Businesses that extract maximum value from ChatGPT will use it as a collaborative tool for everything from brainstorming to technical maintenance.
For individuals, now is the time to pinpoint the skills the future professional will need to thrive in the AI age.
Check out this presentation to understand what ChatGPT is, how it will shape the future of work, and how you can prepare to take advantage.
The document provides career advice for getting into the tech field, including:
- Doing projects and internships in college to build a portfolio.
- Learning about different roles and technologies through industry research.
- Contributing to open source projects to build experience and network.
- Developing a personal brand through a website and social media presence.
- Networking through events, communities, and finding a mentor.
- Practicing interviews through mock interviews and whiteboarding coding questions.
Google's Just Not That Into You: Understanding Core Updates & Search IntentLily Ray
1. Core updates from Google periodically change how its algorithms assess and rank websites and pages. This can impact rankings through shifts in user intent, site quality issues being caught up to, world events influencing queries, and overhauls to search like the E-A-T framework.
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Imprima | Ai in Due Diligence - How to make it work in real life
1. White Paper
Published June 2019
Artificial Intelligence
in Due Diligence
How to make it work in real life
The contents of this document are limited to general information and not detailed analyses of law or legal advice
and are not intended to address specific legal queries arising in any particular set of circumstances.
2. Imprima AI White Paper | 3
Working in due diligence
Junior lawyers, analysts and associates working at
financial or legal advisory firms in M&A look forward
to rewarding careers. Whilst the rewards are high for
those who make it, this line of work can be extremely
demanding. Working against the clock in high-stakes
environments, these individuals work long hours and
sacrifice weekends; with work/life balance taking
such a hit, it is important to identify the culprit – the
lengthy, laborious and sometimes inefficient due
diligence (DD) process. Juniors are starved of both
their time and exposure to more in-depth analysis
thanks to the lengthy review of agreements, financial
documents and contracts. Not only can the workload
be suffocating, its mundane, monotonous nature is a
catalyst for human error. So not only are individuals
suffering, quality of work is too. That is not good news,
either for the development of the professionals doing
the work or the client experience.
There is a great deal of talk about technology’s role in
addressing this issue, specifically Artificial Intelligence
(AI) and Machine Learning (ML). The latter is the
subset of AI that is often touted as the answer to due
diligence challenges – and that is because it turns that
same repetitiveness of the work into an advantage: it
is fuelled by what it learns from mundane, repetitive
tasks.
What’s preventing AI from helping?
Many see great potential for AI and ML to play an
important role in DD. But there is a major hurdle
preventing the adoption of AI in this space: it is not
clear how to apply the technology in live DD situations
effectively. We will discuss that issue in this paper,
sharing with you how we have applied ML and what
the results have been.
It is important to recognise that some see AI as a
threat to their business model, as it may reduce
billable hours or jobs, as manual work is automated.
We do not believe that ML has to pose this threat and
will touch upon this topic later in this paper and also,
address it in depth in a separate paper to follow.
However, before we even begin to discuss those
issues, let’s see how AI and ML can be effectively
deployed and applied within DD in the first place.
3. Imprima AI White Paper | 4
Breaking down the challenge
At Imprima we have been researching this topic
for almost three years, are engaged in ongoing
collaborations with two universities and have
conducted our own research. Our traditional line
of business (Virtual Data Rooms) gave us a great
opportunity to meet with legal experts, M&A advisors
and RE advisors: our clients.
These conversations, combined with our research,
provided a powerful feedback loop that led to the
innovative development of an AI toolkit for DD.
A huge challenge during DD is the time and effort it
takes to identify documents that contain a specific
characteristic, a certain issue, or ‘red flag’. These
characteristics can help shape the value of the deal
(positively or negatively) but the nature of the work
involved in unearthing them can lead to human error
(see our Intro section). We wanted to explore how to
address this challenge using AI and ML.
The question became, “how can we use AI to help
find documents of a certain type, with certain
phrases, provisions or issues (red flags) that
can impact the value of a deal, more quickly and
accurately than is currently achieved?”
Additional factors we considered when designing a solution:
1. The tool cannot demand a fundamentally
new way of working – it has to fit into current
processes and add value from the start.
The high-stakes nature of the task at hand
means we can’t ask people to change the way
they work. They wanted a tool that would fit
into their processes and begin adding value
immediately.
4. The AI results should be at least as accurate
as manual review by lawyers.
This one’s quite important…if the tool didn’t
improve on the current process in terms of
speed, accuracy and effectiveness, what
would be the point?
3. Importing and exporting data between a
VDR - the key repository of data used in DD
- and AI tools is not a good option, also not
when via an API.
The movement of data between applications
is time consuming and cumbersome. Often,
for those on the buy-side of a deal, it is not
allowed because of data security concerns.
Moreover, it will be impossible to address the
two considerations above if our tool was not
integrated into the VDR, as we will discuss below.
That also holds when the data is exchanged
between applications via an API, as that would
limit the data being exchanged in terms of
granularity as well as interactivity.
2. To further complicate this, clients told us
that they were not interested and had no time
for training algorithms before using them.
Traditional ML demands this.
This means our tool should learn how to
operate based on typical DD work/tasks/
processes carried out by the people involved.
The repetitive nature of these tasks gives the
ML algorithm the opportunity to “learn” how
to perform and to eventually start suggesting
items/documents for the user to review.
4. Imprima AI White Paper | 5
Early Findings
We discovered that we could build something that
does not require complex ML techniques. In fact, the
simplest solution that explains the data gives the best
result. A more complex solution would only lead to a
phenomenon called “over fitting”: The risk would be
that the ML tool might be trained to solve the problem
for one data set, but not for others. In addition, it
would lead to an unrealistic semblance of accuracy.
This is discussed in more detail in our white paper of
July of last year. <https://www.imprima.com/white-
paper/white-paper-ai-streamline-legal-due-diligence/>
We realised the key to a successful ML tool is not in
its sophistication, but in its access to data. This data is
needed as ‘fuel’ to train the ML algorithm automatically
– something that is critical to the success of the tool,
based on what we learnt from clients (see the previous
section!).
We soon realised being a VDR provider is a huge
advantage. Why? Because all relevant data for DD
and user information is stored and processed within
the VDR. We then came to the realisation that this ML
tool had to be built within the VDR if we were to satisfy
all design considerations.
Building an ML Tool for DD
We wanted to ensure that all information the ML tool
needs to be successful is given to it during a normal
document review process by a DD professional –
again, a key design consideration. From a sell-side
perspective, that process might be document review
to help select documents to include in the VDR,
or whilst conducting vendor DD. From a buy-side
perspective, it could be document review as part of
the formal DD process.
We decided to design the ML tool such that it is
trained on the basis of information that is generated
during these processes. Therefore, it will cost people
no extra effort, time or money; no separate process
needs to be set up to ‘train’ a tool or an algorithm.
To help fit into current process, we had to get to
work with flexibility front of mind. Users of the tool
simply enter a search term and start reviewing the
documents presented (as they would anyway). And
then, as the users review the document, they mark it
as ‘relevant’ or ‘not relevant’ depending on the issue
that is under review. All of this (document review and
marking of documents as relevant or not) sits within
a simple, intuitive user interface, like that of popular
websites, to ensure it feels familiar.
Applying the Tool in a Real-Life
Situation
Let’s document how this looks in practice: A lawyer
or analyst needs to review employment agreements,
specifically those that do not contain a non-compete
clause. This may happen because a new standard
employment agreement has been introduced at the
target company, but not all the old agreements have
been revised.
The ML-driven review process could begin, for instance,
with the user typing, ‘employment agreement’ into the
search bar. There’s no need to put together complex
“regular expressions” (such as: “employment” AND
“agreement” AND NOT “non-compete”), as the
Machine Learning will not rely on that. Additionally,
such complex regular expressions would not result
in accurate results anyway; the risk of missing
documents (in other words, low “recall”) would be
very high.
The tool then observes what the user does with
the results and learns from it. As the user marks
documents as ‘relevant’ or ‘not relevant’ the ML tool
develops its understanding of the user’s needs. The
tool then applies its enhanced understanding of the
request and searches again, this time presenting
more and more relevant results to the user.
5. Imprima AI White Paper | 6
The results…
We tested the above on a set of approximately 3,000
of all types of legal documents. These documents
included, amongst others, employment agreements,
of which a small portion were employment agreements
without a non-compete clause (note that the
other legal documents also included employment
agreements with a non-compete clause).
The test results showed that after reviewing a small
portion of the documents, virtually all employment
agreements without a non-compete clause had been
found. Bear in mind, this was done using an algorithm
that had not been trained in advance by anyone.
Still it saved more than 90% of the user’s time when
compared to the traditional review process.
Additionally, the AI-powered search can be saved for
future use, to find similar issues in similar agreements,
which will lead to even greater time savings and
accuracy.
We have found that many issues of a similar nature
can be handled with this approach, such as finding
credit agreements with a change-of-control clause,
license agreements without a proper limitation of
liability clause, etc. In general, documents of the same
type that contain an issue, or a red flag.
Assessing the results
We found that with the tool we can retrieve relevant
documents for complex queries with an accuracy
(“recall”) of 95% or higher. That is much more
accurate than manual review: scientific studies
(Grossmann and Cormack, 2011) show that the
average for human review during DD is 85% or less.
It is also important to note, the accuracy achieved with
ML is consistent: the tool doesn’t succumb to fatigue
or the monotonous nature of the task at hand – quite
the opposite, it thrives on it.
Not only does it help the junior lawyers or analysts
with achieving higher and more consistent accuracy,
senior staff who need to review work of the people
working for them are also helped. By checking (and
correcting) the tagging of the documents as relevant
or not, the ML algorithm is further trained to comply
with those improved tags. It’s interesting to consider
that, when ML is employed, this senior-level review
may be needed much less frequently, as the ML will
“remember” what was corrected.
The impact on business models,
efficiency gains
We should also attempt to address the sensitive topic
as to whether ML could be a threat to legal or other
advisory firms, or to their business model, or to jobs.
It is a topic of much debate and concern lately. We
believe however that, from a technical perspective, it
does not have to be a threat, as ML may be used to
increase value, rather than reduce cost.
For instance, a use case could be to apply the ML
approach to increase the reliability of identifying
3,015
96 184
85
Smart Review
assisted search
Manual search
Additional documents to be manually inspected
True positives
Smart Review vs. Manual Search example
6. Imprima AI White Paper | 7
high-risk queries by combining AI-based queries
with exhaustive manual search. The lawyer or analyst
would still manually, and exhaustively, review all
agreements, but is assisted by ML to boost his or
her accuracy of finding issues (“recall”), increasing
confidence that all issues are found. In other words, it
would lead to increased accuracy at the same cost.
Here’s another example where value could be
added by using ML: In many cases, only the most
important agreements need detailed review; for
example, the agreements in place with a company’s
top 20 to 50 customers. A client would then perhaps
assume that the remaining customer agreements are
similar and don’t contain additional risks. That could
be a dangerous assumption, and one that does not
need to be made if ML is used.
With the ML method we have developed, such a
review could be enhanced by executing the following
2-step approach:
Step 1:
The top 20 – 50 agreements are reviewed manually
with the support of our ML tool. As a result;
• Find information within documents such as those
that present potential risk.
• The ML algorithm has been trained to perform a
similar review in similar agreements
Step 2:
The remainder of the agreements can then be
automatically reviewed, adding value to the law
firm’s or advisor’s service at no additional cost.
On top of that, of course any automation of tasks
through the application of ML should lead to Lawyers
and Advisors being able to spend more time on
in-depth and strategic analysis of the documentation
and the target company itself.
Conclusion
1. ML leads to substantial time savings:
90% or more time saved versus traditional DD, or, in other words, professionals spend only
1/10th of the time they currently do, on review.
2. ML significantly improves review accuracy:
Typically a recall of 95% or higher is achieved versus 50% - 85% in traditional DD.
3. When implemented as part of the VDR workflow and integrated within the VDR, you do not
need to spend time training algorithms in advance of their use:
Additionally, the tool provides full flexibility in how users can search for issues.
4. Complex issues can be found with simple queries, ML does the hard part.
5. Data remains in a secure environment – the VDR:
No import or export is necessary.
7. Contact us today to find out more:
Official London Stock Exchange, Marketplace Provider:
Paris
Tel: +33 1 58 36 06 60
E: parissales@imprima.com
London
Tel: +44 20 7965 4700
E: londonsales@imprima.com
New York
Tel: +1 646 844 2993
E: newyork@imprima.com
Amsterdam
Tel: +31 207 155 600
E: amsterdam@imprima.com
Frankfurt
Tel: +49 69 915 0980
E: frankfurt@imprima.com
Sydney
Tel: +61 283 110 266
E: sydney.sales@imprima.com
www.imprima.com
In a future whitepaper, we will be showing how AI can be used
to automatically categorise and index documents uploaded
to the VDR. This automates the laborious and lengthy VDR
prep phase. Additionally, we will discuss our technology for
automatically generating summaries of agreements.
Imprima is proud to have been selected by the London Stock Exchange to provide due diligence services to
corporations listed on the Exchange. This reflects the quality of our technology, services and customer support.