Artificial intelligence (AI) is fast becoming a competitive tool in business. Companies have been discussing the pros and cons of AI in the past. From enhanced chatbots to customer service to data analytics to recommendations, deep learning and artificial intelligence are seen as an important tool for business leaders in their many forms.
This document provides an overview and summary of key insights about artificial intelligence (AI) adoption from various research reports:
- Investment in AI remains high but large-scale adoption is happening slowly, as many companies are still in the planning phases.
- Research forecasts strong growth in the global AI market size over the next few years, reaching $60 billion by 2025, though most investment still comes from large tech companies.
- Adoption of AI technologies varies by industry, with around 20% of companies surveyed having adopted at least one AI technology at scale so far, while others are still experimenting or planning adoption.
Web Scraping reveals top tech trends and company’s media mentions in 2017
To understand the tech landscape and its coverage in 2017, we deployed our in-house web crawler to extract the article titles from two popular outlets and performed text mining on the dataset to uncover the top buzzwords, companies and products.
Artificial Intelligence Best Practices: How AI Models Can Transform Legal and...
The legal and corporate worlds are buying into the power of AI and machine learning. Now, many industries are becoming increasingly receptive to how to use better data classification methods and AI models to generate better business practices. A decade ago, the legal and corporate worlds needed more convincing about the power of AI and machine learning. Now, many industries — legal included — are becoming increasingly receptive to how to use better data classification methods and AI models to generate better business practices.
Future of Business Intelligence keynotepaul.hawking
The document discusses the future of business intelligence. It provides a brief history of business intelligence, noting it was coined in 1989 to describe how end users could access and analyze company information. It then discusses how the term has been marketed differently over time by vendors. The document also examines emerging technologies like analytics, big data, artificial intelligence, and natural language processing that are shaping the future of business intelligence. It analyzes their position on Gartner's Hype Cycle and provides examples of how these technologies are being applied.
AI & India : The potential to be the next global centre of innovationUmakant Soni
The combination of a large and rapidly growing mobile-internet connected population along with startups being able to access their data along with open-source intelligence research means they can leverage decades of research, apply it to data, and pipe the results to build context-aware, predictive and extremely personalised business models.
This can be built on intelligent process automation and forecasting frameworks for speed and precision. Overall, these businesses will have potential for step-changes in operational efficiency and effectiveness in understanding and fulfilling customer needs.
This is especially so in India, where small screens on many smartphones can create vast pools of data to power AI. By further automating business decisions through machine learning, and surfacing them through smart, intelligent interfaces, these startups will disrupt older technologies and traditional businesses – based on heuristical approaches – and can emerge as “new category leaders”.
Artificial intelligence Trends in MarketingBasil Boluk
This document provides an overview and summary of key insights about artificial intelligence (AI) adoption from various research reports:
- Investment in AI remains high but large-scale adoption is happening slowly, as many companies are still in the planning phases.
- Research forecasts strong growth in the global AI market size over the next few years, reaching $60 billion by 2025, though most investment still comes from large tech companies.
- Adoption of AI technologies varies by industry, with around 20% of companies surveyed having adopted at least one AI technology at scale so far, while others are still experimenting or planning adoption.
Web Scraping reveals top tech trends and company’s media mentions in 2017PromptCloud
To understand the tech landscape and its coverage in 2017, we deployed our in-house web crawler to extract the article titles from two popular outlets and performed text mining on the dataset to uncover the top buzzwords, companies and products.
Artificial Intelligence Best Practices: How AI Models Can Transform Legal and...Anna Kragie
The legal and corporate worlds are buying into the power of AI and machine learning. Now, many industries are becoming increasingly receptive to how to use better data classification methods and AI models to generate better business practices. A decade ago, the legal and corporate worlds needed more convincing about the power of AI and machine learning. Now, many industries — legal included — are becoming increasingly receptive to how to use better data classification methods and AI models to generate better business practices.
Building an AI Startup: Realities & TacticsMatt Turck
AI is all the rage in tech circles, and the press is awash in tales of AI entrepreneurs striking it rich after being acquired by one of the giants. As always, the realities of building a startup are different, and the path to success requires not just technical prowess but also thoughtful market positioning and business excellence.
In a talk of interest to anyone building or implementing an AI product, Matt Turck and Peter Brodsky leverage hundreds of conversations with AI (and big data) founders and hard-learned lessons building companies from the ground up to highlight successful strategies and tactics.
Topics include:
Successful data acquisition strategies
Data network effects
Competing with the giants
A pragmatic approach to building an AI team
Why social engineering is just as important to success as groundbreaking AI technology
This document discusses how organizations can optimize business value through hybrid apps. It argues that IT and business units must become partners to embrace new technologies like cloud, mobile, and data sources. A hybrid model allows apps to access internal and external data without worrying about the source. This enables new apps that follow real-world processes instead of silos. Combining new data sources and thinking can create new apps and insights that drive revenue. The new approach makes data available to wide audiences and empowers business users.
The document discusses the four phases - standardization, usability, consumerization, and foundationalization - through which breakthrough technologies like computing and the internet progressed from limited research projects to widespread adoption and integration into society. It argues artificial intelligence is following a similar path, starting with standardization efforts, then a focus on usability, large-scale consumer adoption, and ultimately becoming an invisible foundation of digital infrastructure and activities. Understanding these phases can help organizations properly position themselves to benefit from AI's development and value.
The document discusses 10 trends that will shape the business intelligence (BI) landscape in 2017 according to partners ImproveCX and TechStorm. These trends are: 1) artificial intelligence, 2) mobile BI, 3) modern BI, 4) data quality, 5) internet of things, 6) natural language, 7) data visualization, 8) self-service preparation, 9) big data, and 10) hybrid solutions. Each trend is discussed in 1-2 paragraphs highlighting how it will impact BI tools and analytics in 2017.
How is artificial intelligence used in HR.pptxParker adam
Artificial intelligence (AI) is a very new and fascinating technology that is already being applied in several HR tasks. This article will discuss how artificial intelligence is being utilized, who is using it, and which industries are most likely to gain from it.
Artificial Intelligence Can Now Write Amazing Content – What Does That Mean F...Bernard Marr
Written language generation was once thought to be a task humans were uniquely qualified to do. Today, with advances in artificial intelligence and specifically natural language generation, AI is proving its expertise with all kinds of content types from news reports to captions and social media posts to financial reports.
2019 London Data Science Festival. Making Money in AI, Machine Learning and ...Simon Greenman
Who’s Going to Make Money in AI and Machine Learning? We’re currently experiencing an AI gold rush. Billions are being invested. AI startups abound. Google, Amazon, and Microsoft are duking it out for AI supremacy. Corporations are scrambling to ensure they adopt AI ahead of their competitors while looking over their should at startups. The winners will be the picks and shovels of this gold rush. They are the tech giants that have the scale of data, talent, capital and distribution to power the AI revolution. But enterprises stand to create nearly $4 trillion in value from AI by 2022. But to get AI and data science projects out of experimentation and into use across the organisation requires mobilising and engaging the executive team. AI startups that are looking to scale also need to cross the commercial divide from technology to the enterprise.
Hyperautomation is an advanced form of automation that uses artificial intelligence, machine learning, and other technologies to enhance robotic process automation with intelligent capabilities. It aims to augment human workers rather than replace them. Key aspects of hyperautomation include using technologies like natural language processing, optical character recognition, and machine learning to automate complex processes. This allows organizations to automate more tasks than with regular automation alone. Hyperautomation also refers to automating processes at a sophisticated level across the entire process lifecycle. When implemented effectively, hyperautomation can increase productivity, optimize business processes, and empower employees to focus on more strategic work.
Artificial intelligence (AI), machine learning (ML), and the Internet of Things are gaining momentum across enterprise environments. By incorporating these technologies into their strategic agendas, organizations industry-wide can streamline processes, anticipate customers’ needs and behaviors in real time, stimulate profitable growth, and deliver experiences that live up to the promise of digital.
Last year in March 2020, I had presented on campus of SRM Institute of Science and Technology, Ramapuram, Chennai for their computer science students on Career Opportunities in Artificial Intelligence. This year around, they invited me again for the same topic (!) but for their MCA (Master of Computer Applications) students. Since a year has passed where the job market, the technology industry and the entire world has changed irreversibly due to the ongoing pandemic, I decided to rework the talk in entirety.
Video of the talk is at:
https://venkatarangan.com/blog/2021/04/career-opportunities-in-artificial-intelligence-during-the-pandemic/
Today in the online talk I was expecting about 40-50 students, instead I was pleasantly surprised to see over 150 students attending the Zoom call. The topic was the same, “Career Opportunities in AI”. I covered the different job roles that are in general available in Artificial Intelligence, Machine Learning & Data technologies. Various industries which are employing AI – the list is of course expanding fast – I quoted some lesser-known verticals where phenomenal growth is happening. Added some real-world examples from Monster, Indeed and others. Finally, I shared few tips on how the students can prepare themselves on campus and off campus to land good jobs.
Artificial Intelligence application in workplace Nandini Singh
Sharing my latest work on #artificialintelligence in #workplacesolutions. Will start sharing such decks more frequently. Please do share your comments.
The Cloud Analytics Reference Architecture: Harnessing Big Data to Solve Comp...Booz Allen Hamilton
The document discusses Booz Allen's Cloud Analytics Reference Architecture, an innovative approach to implementing big data analytics. It removes constraints of traditional systems by integrating and analyzing all available data from multiple sources. At the core are systems that can handle petabytes of data at reasonable cost while allowing analytics to run at large scales quickly. The goal is to leverage machines to do 80% of routine work while enabling human insights through analysis and creativity.
IW14 Keynote, Michelle Shuttleworth, Deloitte ConsultingSoftware AG
Presentation Title: Tech Trends 2014; Inspiring Disruption
Michelle Shuttleworth, Director, Deloitte Consulting
Innovation World 2014 conference, Oct 13-15, 2014, at the Hyatt Regency New Orleans, produced by Software AG. Three days of vision, inspiration and insight. Innovation World is THE global event for digital leaders who are driven to leverage the Software AG Suite: Alfabet, Apama, ARIS, webMethods, Software AG Live, Terracotta and Adabas-Natural.
Did you know that approximately one-third of companies are actively using generative AI in their organizations? Artificial intelligence (AI) tools have become a game-changer driving industry transformation. Embracing AI empowers businesses to enhance operations, elevate customer experiences, and maintain a competitive edge in the market. Assessing the right AI tools for your business requires a systematic approach.
Evaluating the opportunity for embedded ai in data productivity toolsNeil Raden
The document discusses embedding AI in data productivity tools. It notes that while AI applications get attention, opportunities to embed AI in tools to manage and interpret data may be overlooked. This could help address challenges in preparing large amounts of clean, AI-ready data at scale. The document summarizes experts' views, many of which support embedding AI in data pipelines and tools to improve data quality, integration and analytics. It provides examples of companies like Informatica, UnifiSoftware, Trifacta and Tamr that are infusing AI into their data integration and catalog offerings. The document argues that opportunities for AI to improve data management could boost overall AI success rates.
How to choose the right modern bi and analytics tool for your business_.pdfAnil
We highlight Top 5 Business Intelligence Tools as suggested by Gartner and ask critical questions that can help organizations make better and informed decisions.
Artificial intelligence (AI), also known as machine intelligence, is an aspect of computer science that deals will the designing of intelligent mechanical systems that work and react like humans. AI incorporates information from everything ranging from Google search algorithms to machinal processes. From SIRI to self-driving cars, everything is the outcome of artificial intelligence, which is rapidly progressing and taking over our human lives.
20 Useful Applications of AI Machine Learning in Your Business ProcessesKashish Trivedi
A 2017 study from Pew Research found that more than 70% of the U.S. is scared that robots are going to take over our lives. And, while we can’t perfectly predict the emergence of a Skynet singularity, we can say with some certainty that technology is set to take over the repetitive, dehumanizing elements of our jobs instead of putting us out of work. Artificial intelligence (AI) is a strategic priority for 84% of businesses, and in some cases has been used to improve sales team efficiency by over 50%. Even I’ve used AI in the past to generate hundreds of relevant hashtags for social media posts at the click of a button. It was once the stuff of utopian science fiction and huge enterprises, but now practically anyone can take advantage. For this post, we will dive into 20 different applications of AI in the real world.
How Can Businesses Adopt AI Technology to Achieve Their GoalsKavika Roy
https://www.datatobiz.com/blog/businesses-adopt-ai-technology/
Artificial intelligence is a dynamic force that keeps the industry moving forward to conquer more technologies. From manufacturing to hospitality to retail and aerospace, AI is being adopted by several organizations across all industries. The global AI market is worth $327.5 billion in 2021.
However, businesses are still in varying stages of adopting AI in their enterprises. While the top companies have added AI technology as an integral part of their systems, SMEs still use AI to develop pilot projects for certain departments like sales, marketing, etc.
Artificial intelligence is part of almost every business today; it facilitates business operations, increases productivity, and offers a variety of ways to speed up communication processes. Artificial intelligence and software (or software applications installed on it), as well as automation through AI systems, perform many of the tasks previously performed by employees and workers. Switching to an automated working environment has resulted in a lot of unnecessary business expenses, substantial time savings and a gradual increase in profits. The automation through AI of various business processes has taken many companies and organizations to the next level in terms of production and management.So, this article explains the role of artificial intelligence, machine learning and cloud computing in business. by Dr. Pawan Whig 2019. Artificial Intelligence and Machine Learning In Business. International Journal on Integrated Education. 2, 2 (Jun. 2019). https://journals.researchparks.org/index.php/IJIE/article/view/516/493 https://journals.researchparks.org/index.php/IJIE/article/view/516
20 Useful Applications of AI Machine Learning in Your Business ProcessesKashish Trivedi
The fear of robots taking over our lives has been a prevalent concern, with over 70% of the U.S. population expressing apprehension, as highlighted by a 2017 Pew Research study. However, while the emergence of a Skynet-like scenario remains uncertain, it's evident that technology, particularly artificial intelligence (AI), is poised to revolutionize various aspects of our daily tasks, freeing us from repetitive and dehumanizing job elements rather than rendering us obsolete. With AI being a strategic priority for 84% of businesses, its implementation has shown remarkable efficiency enhancements, such as boosting sales team productivity by over 50%. The accessibility of AI tools has expanded significantly, enabling practically anyone to leverage its benefits. In this discourse, we'll explore 20 diverse real-world applications of AI, ranging from healthcare and finance to entertainment and government, illustrating its pervasive impact on modern society.
'Converge' Report - Shaping Artificial Intelligence for Southeast AsiaShu Jun Lim
This document provides an overview of artificial intelligence and how startups in Southeast Asia are applying AI. It discusses how startups are collecting local training data to build AI solutions that understand Southeast Asian contexts. It also explores how startups are developing natural language processing for local languages and building chatbots on popular regional messaging platforms. Additionally, it examines how other startups are using AI and automation to digitize field operations and business processes.
Artificial Intelligence: Competitive Edge for Business Solutions & Applications9 series
The growth of Artificial Intelligence in recent years brought forth a major challenge for brands in deploying such AI solutions. Many brands lack the clarity regarding where to start the AI integration process and profitably deploy these solutions in the most effective manner.
Investing in AI: Moving Along the Digital Maturity CurveCognizant
Digitally mature businesses are more likely to consider themselves at an advanced stage of AI adoption, according to our recent study, enabling them to turn data into insights at the scale and precision required today.
This document provides an overview of artificial intelligence (AI) and its applications in enterprises. It examines real use cases for AI, challenges, and opportunities. Key areas where AI can provide value for enterprises are enterprise intelligence, computer vision, and conversational AI. Enterprise intelligence involves analyzing multiple internal and external datasets to extract insights, predictions, and recommendations. Computer vision allows machines to "see" and interpret images. Conversational AI allows machines to communicate using natural language. The document also provides case studies of how companies like Stripe and DBS are using AI.
Why is artificial intelligence in business analytics so critical for business...Countants
Be it in the form of deep learning technologies, autonomous vehicles, or smart robots, artificial intelligence (or AI) is making its presence felt everywhere in the connected world. With AI-enabled technologies having a prominent place in the Gartner Hype Cycle for Emerging Technologies, this technology is enhancing the capabilities of business analytics and business intelligence.
The document discusses the key components of AI: discover, predict, justify, act, and learn. Discover refers to collecting data, which is important for fueling AI. Predict involves using analytics tools to analyze data and predict future outcomes. Justify is about explaining AI reasoning to build trust. Act means applying AI in workflows for continuous improvement. Learn means AI systems are always training to get smarter over time.
Simply put, it translates into the ability of a computer or computer-controlled robot to perform tasks that are usually associated with intelligent creatures, usually humans. As a result, it exhibits the ability to reason, find meaning, generalize, or learn from experience..
Simply put, it translates into the ability of a computer or computer-controlled robot to perform tasks that are usually associated with intelligent creatures, usually humans. As a result, it exhibits the ability to reason, find meaning, generalize, or learn from experience..
The 10 Best Data Analytics And BI Platforms And Tools In 2020Bernard Marr
Data has become a vital asset to all companies, big or small, and across all sectors. In order to extract value from that data businesses need the right analytics or BI (Business Intelligence) tools to make it happen. Here we look at the top 10 analytics and BI tools available today.
7 ADVANTAGES OF USING AI IN MOBILE APP DEVELOPMENTvenkatvajradhar1
Artificial intelligence is a field of computer science that focuses on the development of intelligent machines that act and respond like humans. Some of the activities produced to surround computers with AI are speech recognition, learning, planning, and problem-solving.
Similar to 5 ways to enhance your business using ai venkat k - medium (20)
Role of ai in mobile application development venkat k - mediumusmsystem
Artificial intelligence, as a new technology field has already gained tremendous momentum and popularity across all the digital niches. From the conversational chatbots to data analytics to the user experience design, AI is now being used for an array of niche purposes.
Top 3 improvements that made by ai in logistics venkat k - mediumusmsystem
There’s no other way to describe it: Artificial Intelligence (AI) is revolutionizing the world of logistics. That may seem like a cliché, or hype, or buzz, but it is true.
The tech is fundamentally changing the way packages move around the world, from predictive analytics to autonomous vehicles and robotics. Here are the top five ways in which Artificial Intelligence is transforming the logistics industry as we know it:
How many ways to use ai for mobile app development venkat k - mediumusmsystem
Over the past decades, computer technology has been developing with an extremely high exponential rate. Humanity develops the power of computer systems implementing their application into all spheres of our daily life (production, education, medicine, economics, etc.) using devices.
How many ways to use ai for mobile app development venkat k - mediumusmsystem
Over the past decades, computer technology has been developing with an extremely high exponential rate. Humanity develops the power of computer systems implementing their application into all spheres of our daily life (production, education, medicine, economics, etc.) using devices.
How ai technology is changing stock market investors smarterusmsystem
In many ways, AI and finance are made for each other. Machine learning and other techniques make it easier to identify patterns that might otherwise not be detected by the human eye, and finance is quantitative, to begin with, so that it’s hard not to find traction.
Role of artificial intelligence and machine learning in speech recognitionusmsystem
The science of speech recognition has come a long way since 1962. The technology has developed, speech recognition has become progressively implanted in our everyday lives with voice-driven apps like Amazon’s Alexa, Apple’s Siri, Microsoft’s Cortana, or the many voice-responsive features of Google. From our phones, computers, watches, and even our refrigerators, each new voice-interactive device that we bring into our daily lives extends our need for artificial intelligence (AI) and machine learning.
Traffic signals work with artificial intelligence venkat k - mediumusmsystem
In U.S Drivers add 81 extra hours to their arrival each year due to traffic. The other U.S. cities are also worse, these cities are known for difficult driving conditions with hills, bridges, and bikers.
Artificial intelligence in insurance 3 trends - venkat k - mediumusmsystem
This document summarizes three key trends in applying artificial intelligence to the insurance industry:
1) Behavioral policy pricing using IoT sensor data to personalize pricing based on individual behaviors like driving habits or lifestyle factors.
2) Using AI to enhance the customer experience through chatbots and automated identity verification to streamline the purchasing process. Carriers can also customize coverage options.
3) Faster customized claims settlement through online interfaces and tools to speed up the claims process while also reducing fraud.
Rpm to transform healthcare services venkat k - mediumusmsystem
Remote patient monitoring (RPM) uses technologies like the Internet of Medical Things, artificial intelligence, and big data analytics to shift care from hospitals to homes. Investment in startups focusing on remote monitoring is growing, and RPM is projected to become a mainstream service reaching $1.15 billion by 2023. Analysts say artificial intelligence will become more prominent in healthcare through applications like virtual assistants and predictive analytics, helping RPM provide more continuous and actionable patient insights.
5 benefits that ai gives to cloud security venkat k - mediumusmsystem
As cyber threats become more exceptional with each passing year, so should the technologies that businesses achieve to advance cybersecurity and prevent cyberattacks and data exposures.
Top 3 american banks using artificial intelligence venkat k - mediumusmsystem
The tech companies want to get the limelight on the cutting-edge of technology, AI in banking and other aspects of the financial sector is telling the sign of enthusiasm and appropriation among the banking authorities.
Usa public sector ai opportunity report venkat k - mediumusmsystem
The United States Government has given great efforts to spend in and use artificial intelligence in response to the developing power of China, and developing capabilities of AI across industries.
8 advantages of ai to fight coronavirus venkat k - mediumusmsystem
This document outlines 8 ways that AI can help fight the coronavirus pandemic. It details how AI is being used to screen patients for infection, identify those at highest risk, detect COVID-19 from other respiratory illnesses using chest scans, predict which patients may decline, track hospital resources and discharged patients, screen for high temperatures, and analyze medical images and data to help develop new treatments.
How artificial intelligence will improve our transportation systemusmsystem
Artificial intelligence has been a distant dream for decades, but recent advances in Artificial Intelligence have shown that we can soon use it to solve some of society’s biggest problems.
Artificial intelligence role in customer service venkat k - mediumusmsystem
Customer experience should always be top-notch for any business. Keeping existing customers happy will result in better returns for businesses than constantly finding new customers. Continuous advances in technology are giving companies additional tools and resources to change customer service interactions, provide better response time, and increase the quality of the interaction.
Alexa could become emotionally intelligent venkat k - mediumusmsystem
Amazon issued a patent last week for a new technology that enables Alexa to track consumers’ physical, emotional, and behavioral states. This technology allows Alexa to detect audible cues, such as cough or tone, how the user is feeling, emotionally or physically, and provide responses based on that information.
Artificial intelligence in racing cars venkat k - mediumusmsystem
The DeepReser League, developed by Amazon.com Inc.’s Amazon Web Services Cloud Business, is a branch of AI called Reinforcement Learning. In this type of Ai services, algorithms learn the right way to perform an action based on trial-and-error and observation. This technique differs from the type of AI commonly used in business called supervised learning, in which the algorithms are fed with trained data to learn how to detect images or make predictions. Here, cars supply their own data: images collected with cameras.
Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Em...Erasmo Purificato
Slide of the tutorial entitled "Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends" held at UMAP'24: 32nd ACM Conference on User Modeling, Adaptation and Personalization (July 1, 2024 | Cagliari, Italy)
INDIAN AIR FORCE FIGHTER PLANES LIST.pdfjackson110191
These fighter aircraft have uses outside of traditional combat situations. They are essential in defending India's territorial integrity, averting dangers, and delivering aid to those in need during natural calamities. Additionally, the IAF improves its interoperability and fortifies international military alliances by working together and conducting joint exercises with other air forces.
論文紹介:A Systematic Survey of Prompt Engineering on Vision-Language Foundation ...Toru Tamaki
Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip Torr "A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models" arXiv2023
https://arxiv.org/abs/2307.12980
An invited talk given by Mark Billinghurst on Research Directions for Cross Reality Interfaces. This was given on July 2nd 2024 as part of the 2024 Summer School on Cross Reality in Hagenberg, Austria (July 1st - 7th)
Blockchain technology is transforming industries and reshaping the way we conduct business, manage data, and secure transactions. Whether you're new to blockchain or looking to deepen your knowledge, our guidebook, "Blockchain for Dummies", is your ultimate resource.
TrustArc Webinar - 2024 Data Privacy Trends: A Mid-Year Check-InTrustArc
Six months into 2024, and it is clear the privacy ecosystem takes no days off!! Regulators continue to implement and enforce new regulations, businesses strive to meet requirements, and technology advances like AI have privacy professionals scratching their heads about managing risk.
What can we learn about the first six months of data privacy trends and events in 2024? How should this inform your privacy program management for the rest of the year?
Join TrustArc, Goodwin, and Snyk privacy experts as they discuss the changes we’ve seen in the first half of 2024 and gain insight into the concrete, actionable steps you can take to up-level your privacy program in the second half of the year.
This webinar will review:
- Key changes to privacy regulations in 2024
- Key themes in privacy and data governance in 2024
- How to maximize your privacy program in the second half of 2024
Implementations of Fused Deposition Modeling in real worldEmerging Tech
The presentation showcases the diverse real-world applications of Fused Deposition Modeling (FDM) across multiple industries:
1. **Manufacturing**: FDM is utilized in manufacturing for rapid prototyping, creating custom tools and fixtures, and producing functional end-use parts. Companies leverage its cost-effectiveness and flexibility to streamline production processes.
2. **Medical**: In the medical field, FDM is used to create patient-specific anatomical models, surgical guides, and prosthetics. Its ability to produce precise and biocompatible parts supports advancements in personalized healthcare solutions.
3. **Education**: FDM plays a crucial role in education by enabling students to learn about design and engineering through hands-on 3D printing projects. It promotes innovation and practical skill development in STEM disciplines.
4. **Science**: Researchers use FDM to prototype equipment for scientific experiments, build custom laboratory tools, and create models for visualization and testing purposes. It facilitates rapid iteration and customization in scientific endeavors.
5. **Automotive**: Automotive manufacturers employ FDM for prototyping vehicle components, tooling for assembly lines, and customized parts. It speeds up the design validation process and enhances efficiency in automotive engineering.
6. **Consumer Electronics**: FDM is utilized in consumer electronics for designing and prototyping product enclosures, casings, and internal components. It enables rapid iteration and customization to meet evolving consumer demands.
7. **Robotics**: Robotics engineers leverage FDM to prototype robot parts, create lightweight and durable components, and customize robot designs for specific applications. It supports innovation and optimization in robotic systems.
8. **Aerospace**: In aerospace, FDM is used to manufacture lightweight parts, complex geometries, and prototypes of aircraft components. It contributes to cost reduction, faster production cycles, and weight savings in aerospace engineering.
9. **Architecture**: Architects utilize FDM for creating detailed architectural models, prototypes of building components, and intricate designs. It aids in visualizing concepts, testing structural integrity, and communicating design ideas effectively.
Each industry example demonstrates how FDM enhances innovation, accelerates product development, and addresses specific challenges through advanced manufacturing capabilities.
Transcript: Details of description part II: Describing images in practice - T...BookNet Canada
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
The Rise of Supernetwork Data Intensive ComputingLarry Smarr
Invited Remote Lecture to SC21
The International Conference for High Performance Computing, Networking, Storage, and Analysis
St. Louis, Missouri
November 18, 2021
Coordinate Systems in FME 101 - Webinar SlidesSafe Software
If you’ve ever had to analyze a map or GPS data, chances are you’ve encountered and even worked with coordinate systems. As historical data continually updates through GPS, understanding coordinate systems is increasingly crucial. However, not everyone knows why they exist or how to effectively use them for data-driven insights.
During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to:
- Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value
- Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems
- Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors
- Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported
- Look Ahead: Gain insights into where FME is headed with coordinate systems in the future
Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!
Quality Patents: Patents That Stand the Test of TimeAurora Consulting
Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality.
Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality.
Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality.
Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank?
** Episode Overview **
In this first episode of our quality series, Kristen Hansen and the panel discuss:
⦿ What do we mean when we say patent quality?
⦿ Why is patent quality important?
⦿ How to balance quality and budget
⦿ The importance of searching, continuations, and draftsperson domain expertise
⦿ Very practical tips, tricks, examples, and Kristen’s Musts for drafting quality applications
https://www.aurorapatents.com/patently-strategic-podcast.html
7 Most Powerful Solar Storms in the History of Earth.pdfEnterprise Wired
Solar Storms (Geo Magnetic Storms) are the motion of accelerated charged particles in the solar environment with high velocities due to the coronal mass ejection (CME).
Sustainability requires ingenuity and stewardship. Did you know Pigging Solutions pigging systems help you achieve your sustainable manufacturing goals AND provide rapid return on investment.
How? Our systems recover over 99% of product in transfer piping. Recovering trapped product from transfer lines that would otherwise become flush-waste, means you can increase batch yields and eliminate flush waste. From raw materials to finished product, if you can pump it, we can pig it.
Measuring the Impact of Network Latency at TwitterScyllaDB
Widya Salim and Victor Ma will outline the causal impact analysis, framework, and key learnings used to quantify the impact of reducing Twitter's network latency.
Measuring the Impact of Network Latency at Twitter
5 ways to enhance your business using ai venkat k - medium
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5 ways to enhance your business using
AI
venkat k
Nov 14 · 5 min read
Artificial intelligence (AI) is fast becoming a competitive tool in business. Companies
have been discussing the pros and cons of AI in the past. From enhanced chatbots to
customer service to data analytics to recommendations, deep learning and artificial
intelligence are seen as an important tool for business leaders in their many forms.
It puts AI on a shortlist of technologies your company needs to look at but actively
explores how to benefit. It joins leading emerging technologies such as machine
learning, cloud computing, and Big Data.
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If you’re not sure that AI is ready to handle a growing number and range of tasks,
consider IBM’s Watson’s 2011 winning performance in Jeopardy. Or consider different
ways in which you are already using AI-enabled devices and services in your personal
life, such as smart assistant apps or devices like Amazon’s Alexa or Apple’s Siri. Not to
mention other AI-supercharged apps like the GPS app that you use while driving.
Here are some suggestions on how your competitors are already using AI in their
business and how to get on board.
Considering how your competitors are using AI
The odds are you can’t call your competitors and ask how they are using AI in their
organization. But thanks to the internet, you can find out a lot about what they said. For
example, web search “how staples are using AI” yields information from how the
company leverages artificial intelligence technology to work for it. Next, check out your
competitors’ websites and social media presence (especially LinkedIn and Facebook).
Browse their press releases, news coverage, and blogs. You can also go old school and get
any hard copy newsletters, annual reports or other literature from last year that aren’t
available online.
Make a wide net with industry search, such as “how hospitals are using AI”, “grocery
stores are using AI” or more general search. For example, when I searched for “using AI
in my business”, I had various successes when talking about business uses for AI:
1.Improve customer decision management
2. Improve QA for software and manufacturing
3. Write the code
4. Read Medical Imaging as Head CT Scans.
Another suggestion: Investigate how AI is using other parts of your supply chain —
components, shipping, support and the like.
Decide what AI can do for your business
Based on your research, you should be able to create a list of what AI can do for
businesses in general and for companies in your industry.
You will find several main areas:
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1. AI technology types such as machine learning, deep learning, natural language
processing, and cognitive computing. Understanding what these are, and how
different types of data and tasks are good, will help you gain a better understanding
of AI and understand the needs and limitations of different goals.
2. Any type of processing AI, such as image and speech recognition, predictive
analytics, can be used. It gives you a general sense that AI is being used not only by
businesses but also by government, education, science, and other researchers and
others.
3. Use cases: Smart agents (for phone, chatbots, and more), these capabilities help
with any specific tasks, such as optimizing inventory orders, acting out machine or
system failures, detecting computer threats, and detecting fraudulent customer
activity.
Search for and Compare Vendors
It is time to identify potential technology vendors. There is no shortage of top artificial
intelligence companies.
To find and compare vendors, you first need to evaluate how to add artificial intelligence
capabilities to your company’s IT, based on:
1. The size and depth (and budget) of your IT staff. Do you already have any AI
expertise at home? Are there developers (besides QA and Ops) that can add AI
chops? Do your IT staff have the time and resources to add AI to your current
business IT? To research, propose and develop new AI-based business programs.
2. Do any of your IT providers offer AI extensions, modules, tools, features, etc?
There are several categories of vendors for AI capabilities:
1. Vendors who have added AI capabilities to their offerings. It includes everyone from
Amazon, Apple, and Google to IBM, Intel, and Salesforce, so you have to decide if
you want to do this with your own / purchased hardware or cloud resources (or
both).
2. Vendors with specific AI capabilities accessed through APIs or other methods.
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Implement the AI Project
The real fun begins once you identify your initial AI projects: implementation. Important
Milestones:
First, you need to create a plan outlining specific and common goals, milestone
schedules, hard and soft costs, and resources needed, including people’s skills,
hardware, and software.
1. Identify who will be affected, including existing resources, suppliers,
customers/customers. In addition to adding a negative impact during execution, find out
who benefits.
2. Set goals for project purposes. Determine how to measure results and, if possible, how
to compare A / B to an AI-enabled approach and previous methods.
3. Don’t forget to talk to stakeholders, including customers/customers. Ask for their
thoughts, priorities, and advice along with training documents and session plans as they
prepare for trials and operational reforms.
Challenges and Pitfalls to Avoid
Adding AI to your company’s operations and business is a big change and a big
transformation. Here’s some quick advice to ease the challenges:
Understand how the AI you are buying works. What are its strengths? Weakness?
What kind of IT environment does AI need? More RAM? New hardware-level
virtualization? Going to NVMe or a different memory or I / O like hyper-converged
infrastructure?
Are you giving your AI apps more data? Too little? Wrong data? Are you asking them the
right questions?
Look for AI tools that give clear, actionable warnings or other results rather than endless
pages of mostly insignificant results.
Additionally, focus on the AI that is available as a supported product/service, rather than
under development.
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Future trends
Although AI in the field of computer science dates back to the 1950s, in the last decade,
many forms of AI have become available to companies of all sizes.
This is thanks to factors such as hardware cost/performance improvements, cloud
computing and advances in AI techniques. At the same time, computing trends such as
big data, IoT, self-driving vehicles and speech and image recognition are creating more
“targets” to represent AI tools.
In particular, keep an eye on cloud costs and capabilities in addition to what AI-wise
different players are doing or talking about. Like almost everything associated with
computer technology, the next cool capabilities are neither very anticipated nor able.
Bottom line: Talk to experts in your field — nothing will help you much.
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