"Not only will our robots learn the job and complete the task, but they are using their algorithm to optimize the task assigned and make that job better."
Digital Leadership Interview : Michael A Osborne, Associate professor at the ...Capgemini
"More or less anything that does not require one of the three bottlenecks – i.e. creativity, social intelligence and the requirement to manipulate complex objects in an unstructured environment – will be potentially automatable."
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.
An in depth analyses of the current direction that Technology is taking us. This presentation asks if this is the correct route for Human society, and proposes possible alternatives.
Digital Leadership Interview : Michael A Osborne, Associate professor at the ...Capgemini
"More or less anything that does not require one of the three bottlenecks – i.e. creativity, social intelligence and the requirement to manipulate complex objects in an unstructured environment – will be potentially automatable."
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.
An in depth analyses of the current direction that Technology is taking us. This presentation asks if this is the correct route for Human society, and proposes possible alternatives.
These slides show that the demand for most professions is growing steadily in spite of continued improvements in productivity enhancing tools for them. They also show that AI will have a largely incremental effect on the professions, in combination with Moore's Law, cloud computing, and Big Data. They do this accounting, legal, architects, journalists, and engineers.
URBAN-X Cohort company CONTEXTERE delivers actionable intelligence to the last tactical mile of an industrial line to decrease human error, equipment downtime and safety incidents. Read the full report.
AI driven automation will create wealth and expand economies. Find out the views of the Executive Office of the US President in this AI Government led initiative.
Artificial Intelligence in Fashion, Beauty and related Creative industriesPetteriTeikariPhD
Quick introduction for artificial intelligence / deep learning applications in fashion, beauty and creative industries.
Alternative download link: https://dl.dropboxusercontent.com/u/6757026/slideShare/creativeAI.pdf
GT Briefing March 2012 Technologies Reshaping Our WorldTracey Keys
Technology is changing the way we live and work at exponential rates. Ponder this for a moment: your parents have lived through the entire development of the computing era while many five year olds have no concept of a world without technology – it is simply part of their lives. This month, we’d decided to look ahead – a long way ahead in some cases – at radical and innovative technologies that will potentially reshape our world in the decades to come. In today’s world, it’s easy to get swamped by short-term thinking and firefighting but we don’t like to encourage it…
From developments that allow us to overcome the resource challenges presented by population growth to advances that will reshape the production of goods and services, our environment and our humanity, technology will challenge us to rethink every aspect of what we do and how we do it. While some of the breakthroughs will be exciting and easy to embrace, others will challenge vested interests and the status quo. Our comfort zones will be disrupted. But, like it or not, these changes will come – sooner than we think in some cases. What is your organization doing to get ready? What will be the impact on your customers and consumers? What are YOU doing?
In this update of his past presentations on Mobile Eating the World -- delivered most recently at The Guardian's Changing Media Summit -- a16z’s Benedict Evans takes us through how technology is universal through mobile. How mobile is not a subset of the internet anymore. And how mobile (and accompanying trends of cloud and AI) is also driving new productivity tools.
In fact, mobile -- which encompasses everything from drones to cars -- is everything.
WEF predicts automation will displace 75 million jobs globally by 2022 but create 133 million new ones. Those in kindergarten today will graduate in 2030. What will work look like? What skills will be most in demand? We identify the most and least important skills for success in a world driven by automation and human-machine collaboration.
Speculation about the Apple Car has kicked into high gear. The amount of news chatter, hiring trends, and investments would take someone years to read. To sift through the noise we used Quid to identify what patterns are important. Read our analysis and then make your way over to MacWorld for further coverage.
We forget that when technology destroy, it helps us to create new ones, as long as we remember that the point isn't just cost-reduction, but doing things that were previously impossible! That means both solving hard problems, and pairing technology with people in ways that play to the strengths of each. My keynote at Strata+Hadoop World London, May 2017.
Artificial Intelligence & Robotics Enables the 4th Industrial Revolution and ...Alpesh Kadakia
AI / Robotics presentation given to a group of senior delegates from various leading Silicon Valley companies on Oct 27, 2017. I share my perspectives on megatrends, implications, and opportunities around human and corporate life expectancy as we explore the role AI and Robotics play in shaping our future.
Software is changing the way traditional business operate. People now have smartphones in their pockets - a supercomputer that is 25,000 times more powerful and the minicomputers of the 1960s. This is changing people's behaviour and how people shop and use services. The organisational structure created in the 20th century cannot survive when new digital solution are being offered. Software is changing the way traditional business operate. People now have smartphones in their pockets - a supercomputer that is 25,000 times more powerful and the minicomputers of the 1960s. This is changing people's behaviour and how people shop and use services. The organisational structure created in the 20th century cannot survive when new digital solution are being offered. The hierarchical structure of these established companies assumes high coordination cost due to human activity. But when the coordination cost drops
The organisational structure that companies in the 20th century established was based on the fact that employees needed to do all the work. The coordination cost was high due to the effort and cost of employees, housing etc. Now we have software that can do this for use and the coordination cost drops to close-to-zero. Another thing is that things become free. Consider Flickr. Anybody can sign up and use the service for free. Only a fraction of the users get pro account and pay. How can Flickr make money on that? It turns out that services like this can.
Many businesses make money by giving things away. How can that possibly work? The music business has suffered severely with digital distribution of content. Should musicians put all their songs on YouTube? What is the future business model for music?
The Troubled Future of Startups and Innovation: Webinar for London FuturistsJeffrey Funk
These slides show how the most successful startups of today (Unicorns) are not doing as well as the most successful of 20 to 50 years ago. Today's startups are doing worse in terms of time to profitability and time to top 100 market capitalization status. Only one Unicorn founded since 2000 has achieved top 100 market capitalization status while six, nine, and eight from the 70s, 80s, and 90s did so. It is also unlikely that few or any of today's Unicorns will achieve this status because their market capitalizations are too low, share prices increases since IPO are too small, and profits remain elusive. Only 14 of 45 had share price increases greater than the Nasdaq and only 6 of 45 had profits in 2019. The reasons for the worse performance of today's Unicorns than those of 20 to 50 years ago include no breakthrough technologies, hyper-growth strategies, and the targeting of regulated industries. The slides conclude with speculations on why few breakthrough technologies, including science-based technologies from universities are emerging. We need to think back to the division of labor that existed a half a century ago.
Presenting a) Mega Trends in the business world that affect small and medium-sized enterprises, b) the op ten technologies that promote creative disruption, and c) how to proceed in implementing some of them.
Solow's Computer Paradox and the Impact of AIJeffrey Funk
These slides show why IT has not delivered large improvements in productivity and why new forms of IT like AI will also not deliver large improvements, except in selected sectors. The main reason is that the improvements in AI are over-hyped and because most sectors do not have large inefficiencies in the organization of people, machinery, and materials.
Irrational Exuberance: A Tech Crash is ComingJeffrey Funk
These slides apply Nobel Laureate Robert Schiller's concept of irrational exuberance (and a book) title to the current speculative bubble of 2019. Over investments in startups and a lack of profitability in them are finally starting to catch up with the venture capital industry and the tech sector that relies on it. Investments by US venture capitalists have risen about six times since 2001 causing the total invested in 2018 to exceed by 40% the peak of 2000, the last big year of the dotcom bubble. But the number of IPOs has never returned to the peak years of 1993 to 2000; only about 250 were carried out between 2015 and 2017 vs. about 1,200 between 1995 and 1997.
The reason is simple: startups are taking longer to go public because they are not profitable. Consider the data. The median time to IPO has risen from 2.8 years in 1998 to 7.7 years in 2016 and the ones going public are less profitable than they were in the past. Although only 22% of startups going public in 1980 were unprofitable, 82% were unprofitable in 2018. The same high percentages of unprofitability have only been achieved twice before, in 1998 and 1999 right before the dotcom bubble burst. Furthermore, startups that have recently done high profile IPOs such as Snap, Dropbox, Blue Apron, Fitbit, Trivago, Box, and Cloudera are still not profitable.
These slides show that the demand for most professions is growing steadily in spite of continued improvements in productivity enhancing tools for them. They also show that AI will have a largely incremental effect on the professions, in combination with Moore's Law, cloud computing, and Big Data. They do this accounting, legal, architects, journalists, and engineers.
URBAN-X Cohort company CONTEXTERE delivers actionable intelligence to the last tactical mile of an industrial line to decrease human error, equipment downtime and safety incidents. Read the full report.
AI driven automation will create wealth and expand economies. Find out the views of the Executive Office of the US President in this AI Government led initiative.
Artificial Intelligence in Fashion, Beauty and related Creative industriesPetteriTeikariPhD
Quick introduction for artificial intelligence / deep learning applications in fashion, beauty and creative industries.
Alternative download link: https://dl.dropboxusercontent.com/u/6757026/slideShare/creativeAI.pdf
GT Briefing March 2012 Technologies Reshaping Our WorldTracey Keys
Technology is changing the way we live and work at exponential rates. Ponder this for a moment: your parents have lived through the entire development of the computing era while many five year olds have no concept of a world without technology – it is simply part of their lives. This month, we’d decided to look ahead – a long way ahead in some cases – at radical and innovative technologies that will potentially reshape our world in the decades to come. In today’s world, it’s easy to get swamped by short-term thinking and firefighting but we don’t like to encourage it…
From developments that allow us to overcome the resource challenges presented by population growth to advances that will reshape the production of goods and services, our environment and our humanity, technology will challenge us to rethink every aspect of what we do and how we do it. While some of the breakthroughs will be exciting and easy to embrace, others will challenge vested interests and the status quo. Our comfort zones will be disrupted. But, like it or not, these changes will come – sooner than we think in some cases. What is your organization doing to get ready? What will be the impact on your customers and consumers? What are YOU doing?
In this update of his past presentations on Mobile Eating the World -- delivered most recently at The Guardian's Changing Media Summit -- a16z’s Benedict Evans takes us through how technology is universal through mobile. How mobile is not a subset of the internet anymore. And how mobile (and accompanying trends of cloud and AI) is also driving new productivity tools.
In fact, mobile -- which encompasses everything from drones to cars -- is everything.
WEF predicts automation will displace 75 million jobs globally by 2022 but create 133 million new ones. Those in kindergarten today will graduate in 2030. What will work look like? What skills will be most in demand? We identify the most and least important skills for success in a world driven by automation and human-machine collaboration.
Speculation about the Apple Car has kicked into high gear. The amount of news chatter, hiring trends, and investments would take someone years to read. To sift through the noise we used Quid to identify what patterns are important. Read our analysis and then make your way over to MacWorld for further coverage.
We forget that when technology destroy, it helps us to create new ones, as long as we remember that the point isn't just cost-reduction, but doing things that were previously impossible! That means both solving hard problems, and pairing technology with people in ways that play to the strengths of each. My keynote at Strata+Hadoop World London, May 2017.
Artificial Intelligence & Robotics Enables the 4th Industrial Revolution and ...Alpesh Kadakia
AI / Robotics presentation given to a group of senior delegates from various leading Silicon Valley companies on Oct 27, 2017. I share my perspectives on megatrends, implications, and opportunities around human and corporate life expectancy as we explore the role AI and Robotics play in shaping our future.
Software is changing the way traditional business operate. People now have smartphones in their pockets - a supercomputer that is 25,000 times more powerful and the minicomputers of the 1960s. This is changing people's behaviour and how people shop and use services. The organisational structure created in the 20th century cannot survive when new digital solution are being offered. Software is changing the way traditional business operate. People now have smartphones in their pockets - a supercomputer that is 25,000 times more powerful and the minicomputers of the 1960s. This is changing people's behaviour and how people shop and use services. The organisational structure created in the 20th century cannot survive when new digital solution are being offered. The hierarchical structure of these established companies assumes high coordination cost due to human activity. But when the coordination cost drops
The organisational structure that companies in the 20th century established was based on the fact that employees needed to do all the work. The coordination cost was high due to the effort and cost of employees, housing etc. Now we have software that can do this for use and the coordination cost drops to close-to-zero. Another thing is that things become free. Consider Flickr. Anybody can sign up and use the service for free. Only a fraction of the users get pro account and pay. How can Flickr make money on that? It turns out that services like this can.
Many businesses make money by giving things away. How can that possibly work? The music business has suffered severely with digital distribution of content. Should musicians put all their songs on YouTube? What is the future business model for music?
The Troubled Future of Startups and Innovation: Webinar for London FuturistsJeffrey Funk
These slides show how the most successful startups of today (Unicorns) are not doing as well as the most successful of 20 to 50 years ago. Today's startups are doing worse in terms of time to profitability and time to top 100 market capitalization status. Only one Unicorn founded since 2000 has achieved top 100 market capitalization status while six, nine, and eight from the 70s, 80s, and 90s did so. It is also unlikely that few or any of today's Unicorns will achieve this status because their market capitalizations are too low, share prices increases since IPO are too small, and profits remain elusive. Only 14 of 45 had share price increases greater than the Nasdaq and only 6 of 45 had profits in 2019. The reasons for the worse performance of today's Unicorns than those of 20 to 50 years ago include no breakthrough technologies, hyper-growth strategies, and the targeting of regulated industries. The slides conclude with speculations on why few breakthrough technologies, including science-based technologies from universities are emerging. We need to think back to the division of labor that existed a half a century ago.
Presenting a) Mega Trends in the business world that affect small and medium-sized enterprises, b) the op ten technologies that promote creative disruption, and c) how to proceed in implementing some of them.
Solow's Computer Paradox and the Impact of AIJeffrey Funk
These slides show why IT has not delivered large improvements in productivity and why new forms of IT like AI will also not deliver large improvements, except in selected sectors. The main reason is that the improvements in AI are over-hyped and because most sectors do not have large inefficiencies in the organization of people, machinery, and materials.
Irrational Exuberance: A Tech Crash is ComingJeffrey Funk
These slides apply Nobel Laureate Robert Schiller's concept of irrational exuberance (and a book) title to the current speculative bubble of 2019. Over investments in startups and a lack of profitability in them are finally starting to catch up with the venture capital industry and the tech sector that relies on it. Investments by US venture capitalists have risen about six times since 2001 causing the total invested in 2018 to exceed by 40% the peak of 2000, the last big year of the dotcom bubble. But the number of IPOs has never returned to the peak years of 1993 to 2000; only about 250 were carried out between 2015 and 2017 vs. about 1,200 between 1995 and 1997.
The reason is simple: startups are taking longer to go public because they are not profitable. Consider the data. The median time to IPO has risen from 2.8 years in 1998 to 7.7 years in 2016 and the ones going public are less profitable than they were in the past. Although only 22% of startups going public in 1980 were unprofitable, 82% were unprofitable in 2018. The same high percentages of unprofitability have only been achieved twice before, in 1998 and 1999 right before the dotcom bubble burst. Furthermore, startups that have recently done high profile IPOs such as Snap, Dropbox, Blue Apron, Fitbit, Trivago, Box, and Cloudera are still not profitable.
Workshop #3: Sketching Collaboratively by Praneet Koppulaux singapore
UX design is not a job to be done in silos anymore, designers are tasked with guiding the teams they work with to make better choices for the sake of the users. They need to work collaboratively with stakeholders/team members to integrate and understand business requirements and technology feasibility while advocating for the user. Time has come to repurpose some of the core UXers’ tools and methods for a collaborative and lean environment to build a shared understanding and work towards common product goals.
In this workshop, you will be introduced to collaborative sketching exercises. You will learn how to run such exercises to ideate, develop and iterate on possible design solutions with the development and management teams they work with.
Social Hacks: Time Savers To Fuel Your Marketing Success at SEMPDX 2015Brent Csutoras
Social Media can take a lot of time. Over the years our team has come up with a number of hacks to save time and still have great success across the top social media sites. This presentation touches on some of our best hacks for social media.
Find the full report here: http://bit.ly/29z1228
Is trust in the cloud important? Based on recent EIU survey findings, it appears so. When organisations exhibit higher levels of trust in the cloud, there is a substantial and positive correlation with a wide range of business outcomes. On the opposite end of the spectrum, if users don’t trust the cloud because they don’t understand its attributes, it will be a less effective tool for them.
This report, sponsored by Google, assesses how far along businesses around the world are on the cloud progression and trust curve. Survey findings are based on a 10-country, multi-industry survey of 452 senior executives, as well as interviews with cloud experts.
Jesse Lozano, "The Future of Manufacturing – a Desktop Sized Revolution?"WebVisions
Massive industrial machines and processes are currently being scaled down so they can easily sit on your desktop. You can have anything 3D printed at the click of a mouse button and soon we will see desktop sized machines that print much more than just plastic.
Rapid prototyping has dramatically reduced the cost barriers to creating a new hardware device and access to open source software has enabled more people than ever to actually design and bring their ideas to life. The rate at which innovation occurs today is faster than ever before and the growing ability to innovate in your living room and crowd fund your idea into existence means that we are now seeing a wave of innovation that actually started in a living room, it's all very 70's and it's pretty exciting.
As innovative as the desktop space can be, it's still dwarfed by the rapid innovation of large scale manufacturing. Industrial 3D printing and work force automation are only just starting to change the way the world makes and consumes products. These massive changes won't happen over night but we're on the cusp of a new industrial revolution.
Within this session, Jesse will discuss his experience with manufacturing and how the the impact of new technology on the industrial scale will change the way the world creates products.
What is FIWARE and why it is a great ecosystem for enabling the co-creation of Smart Cities world wide? Find it in this presentation. The presentation was originally given at Beyond 2020 on 28th July in Recife, Brazil
You’ve probably been eating pulses most of your life – you just didn’t know it. Pulses are a type of dried legume seed, such as beans, chickpeas, lentils and peas, and they are packed with protein, fiber and minerals, but devoid of fat. Trying to shed light on this under-appreciated food staple, the United Nations has declared 2016 the International Year of Pulses, calling them “nutritious seeds for a sustainable future.”
37 c 551 - reduced changes in the carrier of steganography algorithmMohammed Kharma
Steganography is the science that involves
communicating secret information in an appropriate
carrier so no one apart from the sender and the recipient
even can recognize that there is hidden
information. Steganography is the art of hiding
messages inside unsuspicious medium such as images,
videos, various types of files…etc. It's a method to
establish a secure communication channel between two
parties. The purpose of steganography is to hide the
existence of a message from an eavesdropper or third
parties. Steganalysis is the branch of data processing
that seeks the identification of carrier vessels and
retrieval of message hidden. In this paper we present
enhanced implementation for Steganography algorithm,
an algorithm that we claim to be safe, built over DCT
(Discrete Cosine Transformation) frequency
domain mutation[12], the algorithm uses error reductive
measurements such as pattern matching to obtain
a reasonable a better image quality by reducing number
of changes that steganography algorithm made during
the embedding process.
Social Media Report - Economy Hotels August - September 2016Unmetric
Explore the social media strategies of economy hotels on face-book that gets them engaging. Insights into content, engagement, campaigns and more in this report.
Kanker kelenjar getah bening adalah kanker yang muncul dalam sistem limfatik, sistem limfatik termasuk bagian penting dalam sistem kekebalan tubuh manusia. Sehingga, Limfoma merupakan kanker yg berhubungan langsung dengan imunitas.
Robotic coding is the ability of machines to communicate with all necessary software codes in the common workplace, which generally includes machinery and control system, electronics, computer and space sciences.
Better than Human Why Robots Will-and Must- Take Our Jobs.docxtangyechloe
Better than Human:
Why Robots Will-and Must- Take Our Jobs
KEVIN KELLY
Imagine that 7 out of 10 working Americans got fired
tomorrow. What would they all do?
IT's HARD TO BELIEVE you'd have an economy at all if you
gave pink slips to more than half the labor force. But that-
in slow motion-is what the industrial revolution did to the
workforce of the early 19th century. Two hundred years ago,
70 percent of American workers lived on the farm. Today auto-
mation has eliminated all but 1 percent of their jobs, replac-
ing them (and their work animals) with machines. But the
displaced workers did not sit idle. Instead, automation created
hundreds of millions of jobs in entirely new fields. Those who
KEviN KELLY was a founding member of Wired and served as its execu-
tive editor for six years. He is now "senior maverick" at Wired and
the editor of the Cool Tools website. His books include Cool Tools:
A Catalog of Possibilities (2013), What Technology Wants (2010), and
New Rules for the New Economy (1998). TI1is essay first appeared on
the Wired website on December 24, 2012.
2 9 9
KEVIN KELLY
once farmed were now manning the legions of factories that
churned out farm equipment, cars, and other industrial prod-
ucts. Since then, wave upon wave of new occupations have
arrived-appliance repairman, offset printer, food chemist,
photographer, web designer-each building on previous auto-
mation. Today, the vast majority of us are doing jobs that no
farmer from the 1800s could have imagined.
For more on It may be hard to believe, but before the end of this
ways to address century 70 percent of today's occupations will likewise be
a skeptical ' d d ·n
reader, see replaced by automation. Yes, ear rea er, even you WI
Chapter 6. have your job taken away by machines. In other words,
robot replacement is just a matter ofiirne. This upheaval is bein.g
led by a second wave of automation, one that is centered on arti-
ficial cognition, cheap sensors, machine learning, and distributed
smarts. TI1 is deep automation will touch all jobs, from manual
( labor to knowledge work.
First, machines will consolidate their gains in already-
aut~ated industries. After robots finish replacing assembly
line workers, they will replace the workers in warehouses.
Speedy bots able to lift 150 pounds all day long ~ill retrieve
boxes, sort them, and load them onto trucks. Fruit and veg-
etable picking will continue to be robotized until no hlll~ans
pick outside of specialty farms. Pharmacies will fea~ure a smgle
pill-dispensing robot in the back while the pharmacists focus on
patient consulting. Next, the more dexterous chores of cleaning
in offices and schools will be taken over by late-night robots,
starting with easy-to-do floors and windows and even~ually get-
ting to toilets. The highway legs of long-haul truckmg routes
will be driven by robots embedded in truck cabs.
All tl while robots will nmtinue their migration in.
https://www.worldwildes.com/
Robotics is a rapidly evolving field with advancements in soft robot hands that are giving robots the ability to handle delicate objects with precision and accuracy. Soft robot hands have the potential to revolutionize manufacturing, healthcare, and other industries. They can be used in applications such as surgery, prosthetics, and even to pick up fragile items like eggs without damaging them.
Soft robot hands are equipped with sensors that allow them to learn how much force they need to apply when handling objects. This allows them to avoid butter fingers and perform tasks more efficiently than ever before. With further development of AI algorithms, these soft robots can become even more precise and accurate in their movements. This could lead to a future where robots are able to do complex tasks with minimal human supervision.
What is a Soft Robot Hand and How Does it Work?
Soft robot hands are robotic devices that provide a high degree of dexterity and manipulation. They are designed to be adaptable to different tasks, environments, and objects. Soft robot hands are capable of performing complex motions such as gripping, holding, and manipulating objects with precision. The technology behind these robotic hands is based on the principles of soft robotics, which focuses on the use of flexible materials in robotic design. This allows for increased flexibility and adaptability in the robot's movements and actions. By combining this technology with sensors and controllers, soft robot hands can be used for a wide range of applications such as manufacturing, medical surgery, search & rescue operations, and even household tasks.
How Soft Robot Hands are Learning to Avoid Butter Fingers
Soft robotics research has been making strides in the past few years, allowing robots to perform delicate tasks with unprecedented precision and accuracy. One of the most promising advancements in this field is the development of adaptive robotic grip mechanisms that allow robots to pick up and manipulate objects without causing any damage. This technology has the potential to revolutionize the way robots interact with their environment, reducing the likelihood of butterfingers robots that drop items or cause damage due to mishandling. AI for robotic manipulation is also being explored, allowing robots to learn how best to handle objects without human intervention. With these advances, it is clear that soft robotics will play an important role in the future of robot manipulation and interaction. https://shorturl.at/cghu5
The Benefits of Soft Robot Hands for Various Industries
Soft robot hands are becoming increasingly popular in various industries as they offer unique advantages over traditional robotic hands. Soft robot hands have the ability to adapt to different objects and surfaces, making them ideal for use in medical and industrial applications. In the medical industry, soft robotics can used to perform delicate surgeries in future
Robots have always fascinated pop culture. R2-D2. Prime, Optimus. WALL-E. These exaggerated, humanoid robot concepts often appear to be a caricature of the real thing...or are they more forward-thinking than we realize? Robots are gaining cognitive and mechanical abilities that do not rule out the possibility of an R2-D2-like machine in the future.
Case study 6 chapter 111. 2. Answer the Case Study Questions (.docxwendolynhalbert
Case study 6 chapter 11
1.
2. Answer the Case Study Questions (found at the end of each case study) in 500-750 words total (not including reference list).
3. Include at least one additional, external reference to sources such as an article or video. Cite the reference(s) in your study.
Your case study will be graded on the following:
Grading: 20 points
Content 80% (how thoroughly and logically you answer the questions, how well you incorporate your reference(s), how well you make arguments and state facts to support your answers).
Spelling/Grammar/Punctuation 20%Interactive Session: Technology Will Robots Replace People in Manufacturing?
For the past four decades, robots have been incorporated into manufacturing assembly lines in Europe, Japan, and the United States. These industrial robots—with mechanical arms that can be programmed to weld, paint, and pick up and place objects with predictable regularity—have not taken over many tasks performed by humans. The biggest users of robotic technology have been automobile manufacturing plants, where robots do heavy lifting, welding, applying glue, and painting. People still do most of the final assembly of cars, especially when installing small parts or wiring that needs to be guided into place.
For most manufacturing work, it has been less expensive to use manual labor than it is to own, operate, and maintain a robotics system, given the tasks that robots can perform. But this is changing. Robots have become smaller, more mobile, more collaborative and more adaptable, and their uses are widening. New robot models can work alongside humans without endangering them and help assemble all types of objects, as large as aircraft engines and as small and delicate as smartphones. They can also sense whether parts are being assembled correctly.
Robots are becoming easier to operate. Companies no longer need a software engineer to write program code to get a robot to perform a task. With some of today’s robots, you can simply push a button, turn the robot’s arm, and move it through the operation you want it to perform. The robot learns by doing.
A Renault SA plant in Cleon, France, now uses robots made by Universal Robots AS of Denmark to drive screws into engines, especially those that go into places people find hard to access. The robots have reach of more than 50 inches and six rotating joints to do the work. They also verify that parts are properly fastened and check to make sure the correct part is being used. The Renault robots weigh only about 64 pounds each so they can easily be moved around to different locations as needed. They are also “collaborative,” designed to work in proximity to people. Using sonar, cameras, or other technologies, these robots can sense where people are and slow down or stop to avoid hurting them.
These new-style robots are moving into other industries as well. ABB Ltd of Switzerland and others have recently introduced robots to help assemble consumer-electronics items. ...
In recent years, advancements in sensor and automation technologies have developed increasingly flexible, accurate, and affordable robotics solutions.
With the improved price / performance ratio, the adoption of next-generation robots will likely intensify in the coming years.
Robotics is rapidly transforming the way humans live and work, and will continue to grow due to the ongoing trend toward automation and continued innovative technical improvements in industrial robots. This report summarizes some important trends. It is an excerpt of our Detecon Radar.
The interplay of human and robotic workers promises flexibility, savings and new competitive capabilities when deployed as part of a holistic robotics strategy that incorporates design thinking, human behavior studies and partner ecosystems.
Schunk Expert Days - Convergence of Industrial and Service Robotics 2014Samuel Bouchard
Industrial and service robotics people are marching toward the two new big pies. We are starting to witness the convergence of industrial and service robotics, both from a technical and commercial standpoint.
Richard Freeman: Work and Income in the Age of AI RobotsHKUST IEMS
This talk is a part of the HKUST IEMS & IPP – EY Hong Kong Emerging Market Insights Series. It is presented by HKUST IEMS with support by Institute for Public Policy and EY.
Will the next AlphaGo beat you at your job?
Will artificial intelligence overwhelm companies that rely on human decision-makers?
Or is the concern over robots and automation largely media hype?
This talk will offer evidence-driven insights about the on-going and likely future effects of the “robo-lution” on the global economy.
Find out more at Iems.ust.hk/insights
Human robot technology collaboration (co bot)Sayantan Raha
Collaborative robots are also called cooperative robots or robotic assistants. A cobot intended for cooperation with humans does’t need to have strictly different design from standard industrial robots which are in conformity with safety standard ISO EN 10218.
COVID-19 heightened chronic challenges within the global healthcare industry. It became a catalyst amid fierce competition and tight regulations for health providers and payers to focus on digital health, cybersecurity, patient data transparency, and a variety of customer-centric and operational enhancements. As a result, we found the 2022 trendline pointing to improvements in access and quality of care.
Healthcare challenges such as optimizing the cost of care while simultaneously enabling personalized interventions and consumer-friendly shoppable services are long-standing − but, historically, the industry has been slow to react.
Read our Top Trends 2022 report to examine the lingering ramifications of the pandemic, responses from medical and insurance organizations, and the worldwide impact of ever-changing regulatory standards and mandates.
A combination of factors − the pandemic, catastrophic weather events, evolving policyholder expectations, and insurers’ drive for operational efficiency and future relevance − are sparking P&C industry changes.
In a post-COVID, new-normal environment, the most strategic insurers are building resilient, crisis-proof enterprises poised to take advantage of emerging and future business opportunities. They are leveraging advanced data analytics and novel technologies to assure agility and achieve positive revenue and customer satisfaction outcomes. Competitive advantage will hinge on accelerated digitalization and faster go-to-market. Therefore, win-win partnerships and embedded services with InsurTechs and other ecosystem players are critical.
Read Capgemini’s Top P&C Insurance Trends 2022 for a glimpse at the tactical and strategic initiatives carriers are undertaking to boost customer-centricity, product agility, intelligent processes, and an open ecosystem to ensure profitable growth and future-readiness.
This analysis provides an overview of the top trends in the commercial banking sector as they shift to technology high gear to boost client efficiency and battle a volatile, uncertain, competitive, and evolving landscape.
First, it was retail banking. Now, advanced technology is shifting to – and disrupting − the commercial banking space. Many commercial banks, known for paperwork, red tape, and branch dependency, were unprepared to support clients during their post-COVID-19 ramp-up. But now, the digital pivot to new mindsets, partnerships, and processes is in overdrive.
As commercial banks grapple with competition from FinTechs, BigTechs, and alternative lenders, their inability
to fulfill SME demands and pandemic after-shocks necessitates transformative process changes and a move
to experiential, sustainable, and inclusive banking models. We expect banks to strive to meet the demands
of corporate clients and SMEs by digitally transforming critical workflows and improving client experience.
Additionally, incremental process improvements in the middle and back-office that leverage intelligent
automation will keep the competition at bay because engaged clients are loyal.
Adopting newer methods to mine data and moving to as-a-Service models will prepare commercial banks
to flexibly respond to newcomers and find ways to co-exist through effective collaboration. The time has come for commercial banks to put transformation on the fast track as lending losses in wallet and market share could spill over to other functions!
How incumbents react and respond to 2022 trends could determine their relevancy and resiliency in the years ahead.
The Covid-19 pandemic necessitated the payments industry undergo a facelift, sparked by novel approaches from new-age players, fostered by industry consolidation, and customers’ demand for end-to-end experience. Crossing the threshold, the industry is entering a new era – Payments 4.X, where payments are embedded and invisible, and an enabling function to provide frictionless customer experience. As customers make a permanent shift to next-gen payment methods, Digital IDs are critical for a seamless payment experience. The B2B payments segment is witnessing rapid digitization. BigTechs, PayTechs, and industry newcomers are ready to jump in with newfangled solutions to help underserved small to medium-sized businesses (SMBs).
As incumbents struggle with profits, new-age firms are forging ahead to take the lead in the Payments 4.X era by riding the success of non-card products and services. The new era demands collaboration, platformification, and firms can unleash full market potential only by embracing API-based business models and open ecosystems. Data prowess and enhanced payment processing capabilities are inevitable to thrive ahead. The clock is ticking for banks and traditional payments firms because the competitive advantage is not guaranteed forever. As industry players seek economies of scale, consolidations loom, and non-banks explore new territories to threaten incumbents’ market share. While all these 2022 trends are at play, central bank digital currency (CBDC) is emerging globally and might open a new chapter in the current payments landscape.
As we slowly move out of the pandemic, financial services firms have learned the criticality of virtual engagement to business resilience. Wealth management firms will need capabilities to cater to new-age clients and deliver new-age services. This report aims to understand and analyze the top trends in the Wealth Management industry this year and beyond.
A year ago, our Top Trends in Wealth Management report emphasized how the pandemic sparked disruption and digital transformation and changing investor attitudes around Environmental, Social, and Corporate Governance (ESG) products. As we begin 2022, many of those trends continue to hold as COVID-19’s wide-reaching effects continue to influence the wealth management industry.
As wealth management (WM) firms supercharge their digital transformation journeys, investments in cybersecurity and human-centered design are becoming critical to building superior digital client experience (CX). Another holdover trend − sustainable investing – is gaining mainstream attention and generating increasingly sophisticated client demands. Data and analytics capabilities will become ever more essential for ESG scoring and personalized customer engagement. As large financial services firms refocus on their wealth management business while new digital players make industry strides, competition is becoming historically intense. Not surprisingly, client experience is the new battleground.
This analysis provides an overview of the top trends in the retail banking sector driven by the competition, digital transformation, and innovation led by retail banks exploring novel ways to create and retain value in evolving landscape.
COVID-19 caught banks off guard and shook legacy mindsets to the core. With 20/20 (2020) hindsight, firms are more aware, digitally resilient, and financially stable as they head into 2022. The trials of the past 18 months forced firms to shore up existing business and consider new models and revenue streams.
Customer-centricity remains at the top of most FS agendas and is a 2022 focal point. Banks will focus on achieving operational excellence as diligently as delivering superior CX. In 2022 and beyond, it will be paramount for FIs to explore and invest in new technologies to remain relevant and resilient.
Banking 4.X will arrive in full force in 2022 with platform-supported firms monetizing diverse ecosystem capabilities and aggressively harvesting data to create experiential customer journeys through intelligent and personalized engagements. The new era will compel future-focused banks to finally abandon legacy infrastructure and collaborate with third-party specialists to solidify their best-fit, long-term roles. Increasingly, open platforms will make banks invisible as banking becomes embedded into customer lifestyles. At the same time, banks will shed asset-heavy models and shift to the cloud for greater agility, speed to market, and faster innovation. The shift will act as a precursor to adopting new technologies on the horizon – 5G and Decentralized Finance.
The recent past was filled will extraordinary lessons for financial institutions. Now is the time to act on those learnings and move forward profitably.
While COVID-19 has sparked the demand for life insurance, it has also exposed the operating model vulnerabilities in distribution, servicing, and customer retention. In a post-COVID, new-normal environment, insurers need to enhance their capabilities around advanced data management and focus on seamless and secure data sharing to provide superior CX and hyper-personalized offerings. Accelerated digitalization and faster go-to-market are vital to remaining competitive, and win-win partnerships with ecosystems are critical in the journey.
Read our Top Life Insurance Trends 2022 to explore the tactical and strategic initiatives carriers undertake to acquire competencies around customer centricity, product agility, intelligent processes, and an open ecosystem to ensure profitable growth and future readiness.
Property & Casualty Insurance Top Trends 2021Capgemini
The Property & Casualty insurance landscape is evolving quickly with the changing risk landscape, entry of new players, and changing customer expectations. The ripple effects of COVID-19 on the P&C insurance industry and natural disasters such as forest fires have adversely impacted insurance firm books.
In this scenario, to ensure growth and future-readiness, the most strategic insurers strive to be ‘Inventive Insurers’ – assuming a customer-centric approach, deploying intelligent processes, practicing business resilience and go-to-market agility, and embracing an open ecosystem.
Read our Property & Casualty Insurance Top Trends 2021 report to explore the strategies insurers are adapting to remain competitive amidst the evolving business landscape and how they can explore new ways to enhance their profitability.
A combination of factors such as demographic changes, evolving consumer preferences, and desire to become operationally efficient were already spurring changes in the life insurance industry. Enter 2020 – the COVID-19 pandemic is having a significant impact on the industry.
At the peak of disruption, the focus was on ensuring business continuity, but new initiatives are cropping up to tackle the challenges as the industry is adapting to the new normal.
Furthermore, COVID-19 has acted as a catalyst, pushing life insurers to prioritize their efforts on improving customer centricity, developing go-to-market agility, making processes intelligent, building business resilience, and embracing the open ecosystem.
Read our Life Insurance Top Trends 2021 report to explore the strategies insurers are adopting to manage the changing market dynamics.
The uncertainty of 2020 is setting the global tone for the immediate future in the financial services industry. So it is no surprise banks are laser-focused on business resilience, emphasizing both financial and operational risks. The need to adapt quickly to new normal conditions through virtual customer engagement is clear.
Customer centricity continues to drive commercial banks’ solution designs. And, the pandemic compelled products that deliver immediate client value ‒ quick digital onboarding, seamless lending, and support for small and medium-sized enterprises (SMEs). The onus is now on banks to go to market more quickly, which requires the implementation of intelligent processes and integrating corporates’ enterprise resource planning (ERP) systems with banking workflows.
To achieve go-to-market agility, banks across the globe are investing in and collaborating with FinTechs. Many of these partnerships are focused on boosting digital lending and providing seamless support to anxious small-business clients in need of assurance.
With newfound impetus for FinTech collaboration, commercial banks have picked up their step on the path toward OpenX. COVID-19 made it evident that survival during turbulence is manageable through collaboration with ecosystem players.
Read our Top Trends in Commercial Banking 2021 report to explore the strategies banks are adapting to transform their businesses from a product-led, siloed model to an experiential and agile plan.
When we published the Top Trends in Wealth Management 2020, little did we foresee the pandemic that would sweep through the world and disrupt life as we knew it. Yet, when we reviewed last year’s trends, we found that many still hold and some have taken on even greater relevance. One such trend is sustainable investing, which had begun to gain prominence as investors became more aware of ESG considerations, and firms rolled out more sustainable investing offerings. Another trend that has accelerated in the post-COVID world is the importance of investing in omnichannel capabilities and technologies such as artificial intelligence (AI) to enhance personalization and advisor effectiveness. The pandemic has driven wealth management firms to accelerate their digital transformation journey, with some immediate focus areas being interactive client communications and digital advisor tools.
There is no denying that time is of the essence. Yes, budgets are tight, but the Open X ecosystem offers wealth management firms opportunities to reimagine their operating models and deliver excellent customer experience cost-effectively.
Top trends in Payments: 2020 highlighted the payments industry’s flux driven by new trends in technology adoption, innovative solutions, and changing consumer behavior. The pandemic has tested the digital mastery of players, who are already grappling with transition. Non-cash transactions are on a robust growth path, accelerated by increased adoption during COVID-19. Regulators are working to instill trust and address non-cash payments risk amid unparalleled growth as players collaborate to quell uncertainty. Regional initiatives, such as the P27 (Nordics real-time payments system) and the EPI (European Payments Initiative), are gaining traction in response to country-level fragmentation and competition.
Investment in emerging technologies is looked upon as an elixir to mitigate fraud, data-driven offerings are being considered for providing value-added propositions, and distributed ledger technology is in focus for digital currency solutions, efficiency enhancement, and cost gains. New players, such as retailers/merchants, are integrating payments into their value chains while technology giants are upscaling their financial services game by weaving offerings around payments as a center stage. Constrained by budgets, firms consider business models such as Platform-as-a-Service (PaaS) to provide cost-effective and superior customer experience.
A combination of factors, including demographic changes, evolving consumer preferences, and regulatory and compliance mandates, were already spurring change in the health insurance industry. Enter 2020 and the COVID-19 pandemic, which is having sweeping implications for the industry.
At the peak of disruption, the focus was on ensuring business continuity, but new initiatives are cropping up to tackle the challenges as the industry adapts to the new normal.
Furthermore, some changes are here to stay, and it will be prudent for the industry players to be resilient to the market shifts by being agile, improving member centricity, making processes intelligent, and embracing the open ecosystem.
Read our Health Insurance Top Trends 2021 report to explore the strategies insurers are adopting to manage the external pressures.
The banking industry’s resilience is being tested as banks navigate through a remarkable 2020 filled with uncertainties. The impact of COVID-19 has been about setting the tone for future operational models. Retail banks have shifted focus towards integrated risk management with a more holistic view of operational risks. Adapting to the new normal, banks have prioritized cost transformation while engaging customers virtually. Incumbents sought to be more responsible within fast-changing environmental conditions and ESG remained a critical focus.
To provide more experiential services, banks are leveraging techniques such as segment-of-one to hyper-personalize offerings while aiming to humanize digital channels for increased engagement. Banks are also revamping middle and back offices, going beyond the front end leveraging intelligent processes. Open X is enabling banks to play on their strengths and use the expertise of ecosystem players. Going forward, banks are poised to become an enhanced one-stop shop by providing consumers value-adding FS and non-FS experiences.
To acquire customers in cost-effective manner, retail banks are tapping value-based propositions ‒ such as POS financing and mortgage refinancing. Further, Banking-as-Service provides incumbents a way to provide their high-value offerings to other players. In preparation for the future, banks will be looking to improve their go-to-market agility by leveraging the benefits of cloud. This analysis outlines the top 10 trends in retail banking for 2021.
Explore how Capgemini’s Connected autonomous planning fine-tunes Consumer Products Company’s operations for manufacturing, transport, procurement, and virtually every other aspect of the supply-value network in a touchless, autonomous way.
Financial services is undergoing a paradigm shift that is forcing incumbent retail banks to rethink growth strategies as they struggle to remain relevant. Growing competition from BigTechs, FinTech firms, and challenger banks has added to the complexity created by increasingly stringent regulatory and compliance requirements. Customers now expect a seamless customer journey and personalized offerings because they have become accustomed to top-notch individualized service from GAFA giants Google, Apple, Facebook, and Amazon. The changing ecosystem offers established banks new, unexplored opportunities and encourages a transition beyond traditional products to meet the exacting requirements of today’s customers. Bank collaboration with FinTech and RegTech partners is becoming commonplace. Incumbents are exploring point-of-sale financing and unsecured consumer lending, while they also boost their digital channel competencies to reach a broader customer base. Banks are beginning to accept open APIs and are working with third-party specialists to create an open shared marketplace. Technological advancements such as AI are fueling efforts to evolve customer onboarding and touchpoint processes. Increasingly, banks are turning to design thinking methodology to understand the customer journey, extract deep insights, and develop a more refined user experience across the customer lifecycle.
Our analysis of the top retail banking trends for 2020 offers a glimpse into the fast-changing banking ecosystem and explores the tools and solutions being used to face new-age challenges.
Aspects of the life insurance industry have remained constant for years – and so have premiums. Traditional savings products have taken a huge hit in terms of attractiveness because low interest-rates prevail. Meanwhile, the risk landscape is shifting, and insurers need to align better with the emerging business environment, manage changing customer preferences, and improve operational efficiencies. Within today’s scenario, industry players are undertaking tactical and strategic shifts in attempts to manage unpredictable market dynamics. Insurers must develop alternative products to breathe new life into policies and leverage emerging technologies (artificial intelligence (AI), analytics, and blockchain) to improve efficiency, agility, flexibility, and customer-centricity.
Read Top Trends in Life Insurance: 2020 for a look at the innovative steps future-focused insurers are considering to meet industry challenges and opportunities.
The health insurance industry is evolving and undergoing significant changes. As the risk landscape shifts, insurers are working to improve operational efficiencies, meet evolving customer preferences, and align better with the changing business environment. Accordingly, payers must adapt and align business models and offerings. An incisive tactical approach is required to accommodate members’ needs and related emerging risks — medical, health, and environmental. Advanced technologies such as artificial intelligence, analytics, automation, and connected devices are enabling insurers to manage these changes proactively, partner with members, and help to prevent risks, all the while continuing to fulfill payer responsibilities.
Read Top Trends in Health Insurance: 2020 to learn which strategies insurers are adopting to navigate and align with today’s challenges.
Similar to other financial services domains, payments is evolving into an open ecosystem. The EU’s Payment Services Directive (PSD2) pioneered open banking by encouraging banks and established payments players to securely open the systems to foster competition, innovation, and more customer choices. In tandem with non-cash transaction growth, regulations are driving banks and payments firms to expand their array of payment methods and channels. Governments are encouraging financial inclusion by also promoting the adoption of non-cash payments. Increasingly, merchants and corporates seek to offer alternative payment systems because of widespread popularity among consumers. Alternative payments also enable merchants to provide real-time and cross-border payments to boost business efficiency.
Banks, payment firms, card firms, BigTechs, FinTechs, and other players are continuously developing new technology to cash in on market changes. However, data breaches and fraud continue to hinder innovation as firms devote countless resources each year to address security issues. Many governments are also designing new regulations to reduce ecosystem threats. All these measures are expected to make the current ecosystem much more secure and simple for players as well as customers.
Top Trends in Payments: 2020 explores and analyzes payments ecosystem initiatives and solutions for this year and beyond
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Assuring Contact Center Experiences for Your Customers With ThousandEyes
Digital Leadership Interview : Jim lawton, Chief Product and Marketing Officer at Retehink Robotics
1. An interview with
Transform to the power of digital
Jim Lawton
Chief Product and Marketing Officer, Rethink Robotics
Rise of the Machine:
Forging Ahead with Robots
2. Jim Lawton
ChiefProductandMarketingOfficer,RethinkRobotics
Agility and flexibility
are the two key factors
that have been driving
the emergence of
collaborative robots.
If the robot bumps into
something or something
is in a slightly different
position, it’s able to
accommodate for that
ambiguity.
The opportunity is
massive – we believe
that 90% of the tasks in
factories today are not
automated.
Jim Lawton
What are the drivers behind the
rise of collaborative robots?
Agility and flexibility are the two key
factors that have been driving the
emergence of collaborative robots.
Manufacturers increasingly need to
maintain the flexibility and the agility
that they get with manual labor, and
robots haven’t been up to that task so
far. Today, I may be standing in front
of a sheet metal press brake, and,
tomorrow, I will be putting circuit boards
into an in-circuit tester. This is the kind of
agility and flexibility that manufacturers
need and that has been missing. Most
industrial robots at automotive factories,
for example, perform welding and are
typically placed in cages. These robots
take a couple of hundred hours or more
to program and are then dismantled at
the end of the product line. Units like
that are difficult to deploy for a particular
task and lack flexibility.
What has really been at the heart of the
creation of this new kind of collaborative
robot is to think differently about
what could be done with robots. The
opportunity is massive – we believe that
90% of the tasks in factories today are
not automated.
Can you tell us more about your
collaborative robots – Baxter
and Sawyer – and their unique
features?
Baxter, our first robot, weighs 165
pounds from the waist up and is typically
mounted on a pedestal or a table. He
is humanoid in form with a torso, two
arms and a display screen acting as a
face. Sawyer is smaller, designed to fit
a compact environment. It weighs 42
pounds from the waist up, has slightly
longer arms, and a heavier payload.
Both the robots have 7 degrees of
freedom, allowing them to get into
various kinds of fixtures in a multitude
of different ways. This becomes very
important when you are trying to avoid
obstacles.
Both Baxter and Sawyer have learning
features. For typical robots, you
write some form of script or use a
coding language within a developing
environment, and you sit down with a
computer and you tell it where to go.
With Baxter and Sawyer, it’s much more
like an on-the-job training. They learn
the task by having somebody show
them how to do it.
When you grab the cuff of either Baxter
or Sawyer, they go into what we call
Zero-G mode. The robots’ motors are
compensating for all of the weight of the
arm dynamically as it moves through
a position. When you are holding onto
the wrist and you are moving it in free
space, it feels as if it’s weightless. So,
you can position, orient, and move it
in any way that you want. You grab its
arm, you guide it to where the part is,
you tell it to close its hands, move it into
the CNC machine, release its hand,
pull back, close the door, and push the
button. You show the robot exactly how
to perform a task in the same way that
you would show a human how to do so.
And, the robot thinks in the context of
the task. It’s not thinking in the context
of position and movement, going from
point to point in space. If the robot
bumps into something or something is
3. Jim lawton
With collaborative
robots, we are able to
bring innovation and
manufacturing back
together again.
in a slightly different position, it’s able
to accommodate for that ambiguity
because it’s not focused on executing
commands. It’s focused on performing
a task.
There is increasing logic and intelligence
that’s coming into these robots. Sawyer
and Baxter automate physical tasks,
but there is also an automation of
cognitive tasks. Not only will they learn
the job and complete the task, but they
are using their algorithm to optimize
the task assigned and make that job
better. Collaborative robots also gain
experience from those jobs, and then
change not only their operations but
also provide insights to other robots.
What is the secret behind the
competitive pricing of Baxter and
Sawyer?
The traditional approach for automation
has been to build robots that are
extraordinarily precise and fast.
Deploying precise components into
robots at a hardware level is very
expensive.
Software, on the other hand – when
coupled with cheaper components –
can deliver competitive results. We are
trying to solve the problem of precision
and cost with both hardware and
software. We have chosen components
that, when coupled with the software,
get the job done at a competitive rate
from a cost perspective – between
$20K and $30K. This enables the robot
to go after these 90% of the tasks that
are currently unautomated.
What is the ROI of Baxter or
Sawyer?
Typically, ROI takes 12 to 18 months. Let
me give you an example. I’ve got a tier
1 automotive manufacturer. Traditionally
they have people standing in front of
a machine, basically tending to the
machine. So, you have four people
manning this machine, 20 out of 24
hours a day, and they are each paid
$45K a year. This means that you are
basically spending $180K-a-year to tend
to this machine. The robot, on the other
hand, does it with $25K. The robots
can run 24 hours a day instead of 20, it
doesn’t need vacations, it doesn’t take
breaks, and it always does the same
thing repeatedly with accurate results.
With this new generation of robots,
can we expect the emergence
of smaller local factories closer to
end users?
Most of the companies that are able to
take advantage of traditional automation
today tend to be fairly large with high
volume operations. If you are one of
the small/medium-sized businesses,
you cannot afford to use that kind of
automation. Small companies have
been largely left along the side of the
road when it comes to getting the
benefits that automation can provide.
If we fast-forward into the future, with
an increasing number of collaborative
robots around, smaller companies will
be able to take advantage of them.
This next level of automation also allows
manufacturers to set up their operations
in a much wider variety of places
because they don’t have to chase low-
cost labor around the globe. If you go
back 50 years, manufacturing and
design were happening near each other.
Design could learn from manufacturing,
and manufacturing could learn from
design. Innovation was happening much
more rapidly. We did the worst thing we
could do by moving manufacturing off
to places where labor costs were low
and thus created a big divide between
the two. Now, with collaborative robots,
we are able to bring innovation and
manufacturing back together again. I
think it’s going to allow manufacturing
supply chains to operate in much
different ways than they have been
operating over the last 20–30 years.
Not only will our
robots learn the job
and complete the task,
but they are using their
algorithm to optimize
the task assigned and
make that job better.
We have chosen
components that,
when coupled with the
software, get the job
done at a competitive
rate from a cost
perspective – between
$20K and $30K.
4. Rethink Robotics
Flexible
Easy to Manipulate
Traditional robots Collaborative robots
90% of
tasks in factories currently
unautomated
automate
learn on-the-job,
optimize
200 hours more
to program
Accommodate Ambiguity
Collaborative Robots are Revolutionizing How we Think Robotics
Enter Rethink Robotics’ Collaborative Robots – Baxter and Sawyer
Collaborative Robots Make a Compelling Business Case
Baxter, a humanoid bot that can
handle tasks from line loading, to
packaging and material handling.
Sawyer is designed to automate
precision tasks such as machine
tending and circuit board testing.
They learn a task by having
somebody show them how to do it.
usually: A massive opportunity for
are
collaborative robots –physical and cognitive
tasks,
and also the
task assigned
or• Take
• Perform predefined tasks
• Are dismantled at the end
of the product line
They think in the
context of the task,
a certain level of ambiguity while
performing the task.
“feel” their wayso they can
and accommodate
$20 to $30K
Traditional robots =
expensive hardware to
deliver precision and speed
Collaborative robots =
software + cheaper hardware
Baxter and Sawyer available
12 to 18 months
Baxter and Sawyer typically take
to break even
for
5. How intelligent could a robot
become and by when?
Traditional robots had a big heyday 30
years ago. Then, the innovations really
flattened out over the last 30 years and it
has been much more incremental. I think
with the combination of physical and
cognitive automation and a lot of artificial
intelligence, we are going to see another
big burst over the next 10 or 20 years.
I think initially we are going to see
robots apply greater levels of logic. The
complexity of the kinds of problems they
are going to solve is definitely increasing,
but we are currently overstating how
quickly a major transformation is possible.
I don’t see robots with consciousness any
time in the next many tens of years, but
I do think that in the next five years, you
are going to see robots that are deployed
with learning systems that are artificial
intelligence derived.
We will also increasingly see robots that
learn from each other. Currently, all robots
have their brains within themselves. In the
future, some of the brain will be located
in the cloud, which will enable robots to
share insights and reduce costs. We can
build at the system level a more efficient
operation by not having to double up on
so much CPU power inside every robot.
Jim Lawton
Do we have some evidence that
the automation is helping U.S. or
European manufacturers to bring
production onshore?
There are quite a few examples of
companies that have started to relocate
some of their operations to the United
States – such as General Electric,
Ford or Caterpillar – with the help of
automation. They can hit the ROI and
they can do it in a way that doesn’t
sacrifice flexibility.
What is clear is that we will see much
more competition between China and
developed nations. However, the rules
of the game are changing – success
will not be driven by low-cost labor
anymore, but by technology. That’s a
game that a lot of countries can play in.
Developed countries are now investing
massive amounts of money in initiatives
such as Industry 4.0. However, China
has also launched its own initiative
called “Made in China 2025” to become
the world leader in manufacturing of
all products including high and low
volume, low and high quality. As an
example within the robotics industry, at
the end of 2014, there were 400 robot
manufacturers in China. At the end of
Q1, 90 days later, Q1 2015, there were
700 robot manufacturers.
The key question is whether developed
countries are moving as fast as China.
If the next major driver of success is
having smarter, more capable robots,
that’s not a battle that developed
countries want to lose.
Inside the home, how do you see
the evolution of robots?
I see robots evolving within the home into
two broad categories.
The first category is using robots for
things that I don’t want to do or can’t do
anymore. For example, from an elder care
perspective, if I no longer have the physical
ability to perform certain tasks, the robot
can take over from me. I think we are going
to start to see collaborative robots in not
only every manufacturer, but every home
and in a lot of service-type opportunities as
well.
Another broad category is companion
robots. These are robots that will be your
buddy and interact with you in a way that’s
more like a human. I want a robot that I can
interact with and can provide me with this
sociological-type support and provide with
some level of companionship.
The key thing for robots in the home will be
to be able to process input of both vocal
and gesture to a better job at deciphering.
For example, the Echo device designed by
Amazon is capable of providing information,
answering questions, playing music and
reading the news instantly. We are going to
start to see Amazon voice services that get
embedded into all of these systems.
It’s just another place where we are going
to see that the technology is coming out to
reach the human as opposed to the human
having to change the way they do things.
Currently, all robots
have their brains within
themselves. In the future,
some of the brain will be
located in the cloud, which
will enable robots to share
insights and reduce costs.
If the next major driver
of success is having
smarter, more capable
robots, that’s not a
battle that developed
countries want to lose.
I do think that in the
next five years, you
are going to see robots
that are deployed
with learning systems
that are artificial
intelligence derived.