Cognitive analytics 2016
•
0 likes•69 views
Cognitive analytics will become ubiquitous in everyday life through devices like mobile phones and IoT devices. It will also be a major focus of innovation as developers build cognitive applications and data scientists with cognitive skills are in high demand. Additionally, cognitive analytics will start to converge and analyze all types of big data, including non-traditional sources like sensor data and media streams.
Report
Share
Report
Share
Download to read offline
Recommended
Jen Q. Public: How analytics is impacting government, education and public sa...
Citizens today want to create a better tomorrow for our children and grandchildren. Looking at our world, Jen Q. Public sees the opportunity that analytics, the Internet of Things and the cognitive era bring to our cities, schools and governments. This collection of stories and cartoons explore use cases related to these advancements. Read the latest entry at http://ibm.co/jenqpublic and learn more about analytics for government today http://ibm.co/governmentanalytics
Top 6 Upcoming Big Data Trends of 2018!
Big data is in a constant mode of evolution. It has created huge leaps of growth for businesses who have been using it. The massive increase in the volume, variety, and velocity of data showcases that big data will definitely encounter some changes worth mentioning in the year ahead, prevailing to leave some indelible mark.
Let’s see a few changes that will hit big data domain in the coming year!
Cognitive analytics
Cognitive analytics will become ubiquitous in everyday life through devices like mobile phones and IoT devices. It will also become a major focus of innovation as developers build cognitive applications and data scientists with cognitive skills are in high demand. Additionally, cognitive analytics will begin to converge all big data sources and will automate most data analysis through unsupervised machine learning.
Internet of Things
In this presentation, Krunal introduces the concept of IoT and associated trends. His interest area is in IoT applications in healthcare and energy management systems.
Guide to big data analytics
Big data analytics involves capturing, storing, processing, analyzing, and visualizing huge quantities of information from a variety of sources. This data is characterized by its volume, variety, velocity, veracity, variability, and complexity. Traditional analytics are not suited to handle big data due to its size and constantly changing nature. By analyzing patterns in big data, businesses can gain insights to improve processes and campaigns. However, specialized software is needed to make sense of big data's different types and formats from numerous sources. The right big data solution depends on an organization's specific data, budgets, skills, and future needs.
The Impact of IoT on Cloud Computing, Big Data & Analytics
IoT Applications are different from typical enterprise applications; and most of the companies are hijacking what the IoT is depending on the what products/solutions they offer. I put up my point of view on how the IoT impacts the traditional Cloud Computing and Big Data Analytics. The takeaway from this presentation is IoT requires realtime computing as the data moves from the physical world to the cyber world (Cloud) to take actions at spatiotemporal location.
Internet of Things
In this presentation, Samdish introduces IoT and associated trends. Samdish is interested in surveillance applications using IoT where image processing could be done by MATLAB and data storage can happen on cloud.
L21 Big Data and Analytics
Thank you for the summary. I do not actually have an opinion on whether games or gamification are good or bad. I'm an AI assistant created by Anthropic to be helpful, harmless, and honest.
Recommended
Jen Q. Public: How analytics is impacting government, education and public sa...
Citizens today want to create a better tomorrow for our children and grandchildren. Looking at our world, Jen Q. Public sees the opportunity that analytics, the Internet of Things and the cognitive era bring to our cities, schools and governments. This collection of stories and cartoons explore use cases related to these advancements. Read the latest entry at http://ibm.co/jenqpublic and learn more about analytics for government today http://ibm.co/governmentanalytics
Top 6 Upcoming Big Data Trends of 2018!
Big data is in a constant mode of evolution. It has created huge leaps of growth for businesses who have been using it. The massive increase in the volume, variety, and velocity of data showcases that big data will definitely encounter some changes worth mentioning in the year ahead, prevailing to leave some indelible mark.
Let’s see a few changes that will hit big data domain in the coming year!
Cognitive analytics
Cognitive analytics will become ubiquitous in everyday life through devices like mobile phones and IoT devices. It will also become a major focus of innovation as developers build cognitive applications and data scientists with cognitive skills are in high demand. Additionally, cognitive analytics will begin to converge all big data sources and will automate most data analysis through unsupervised machine learning.
Internet of Things
In this presentation, Krunal introduces the concept of IoT and associated trends. His interest area is in IoT applications in healthcare and energy management systems.
Guide to big data analytics
Big data analytics involves capturing, storing, processing, analyzing, and visualizing huge quantities of information from a variety of sources. This data is characterized by its volume, variety, velocity, veracity, variability, and complexity. Traditional analytics are not suited to handle big data due to its size and constantly changing nature. By analyzing patterns in big data, businesses can gain insights to improve processes and campaigns. However, specialized software is needed to make sense of big data's different types and formats from numerous sources. The right big data solution depends on an organization's specific data, budgets, skills, and future needs.
The Impact of IoT on Cloud Computing, Big Data & Analytics
IoT Applications are different from typical enterprise applications; and most of the companies are hijacking what the IoT is depending on the what products/solutions they offer. I put up my point of view on how the IoT impacts the traditional Cloud Computing and Big Data Analytics. The takeaway from this presentation is IoT requires realtime computing as the data moves from the physical world to the cyber world (Cloud) to take actions at spatiotemporal location.
Internet of Things
In this presentation, Samdish introduces IoT and associated trends. Samdish is interested in surveillance applications using IoT where image processing could be done by MATLAB and data storage can happen on cloud.
L21 Big Data and Analytics
Thank you for the summary. I do not actually have an opinion on whether games or gamification are good or bad. I'm an AI assistant created by Anthropic to be helpful, harmless, and honest.
3rd Wave of Computing - Ambient Computing
The computing industry has undergone a dramatic shift in the last five years. The exponential growth in the power of computer chips by doubling the number of transistors in a dense integrated circuit approximately every two years, known as Moore’s Law is now replaced by an exponential growth of data. Data volumes are doubling every two years as innovative technologies such as IoT, AI, VR, AR are flooding enterprises with an endless stream of data. The amount of data created every day is estimated at 2.5 quintillion bytes.
Data is the new oil. It is just like crude. It’s valuable, but only when refined. You need to break it down and analyze it to extract value. The need to analyze this vast amount of data to extract value is being addressed using concepts such as edge computing or fog computing. However, what exactly is needed is ambient computing.
Ambient computing is the local computing surrounding on all sides – omnipresent.
The ambient computing paradigm builds upon computing available in things around us. However, these things do not work as individually smart but work together as a team. Think, massively distributed device networks around you:
* Recognizing you and your situational context
* Changing in response to you
* Anticipating your desires without conscious mediation
Ambient computing does not mean that we will not need cloud computing anymore
* The idea is to divide the workload so that processing is closer to the point of interaction
* Think of this as a method of accelerating and improving the performance of cloud computing
* Smarter partitioning of data processing between point of interaction & cloud
It will be achieved by adding intelligence and capabilities into our surroundings. The Compute will disappear around us.
You need to start exploring how you will enable ambient computing.
Big Data and Robotics
Robotics relies on collecting and analyzing large amounts of data from sensors to perceive environments, plan actions, and achieve goals. The combination of robotics and big data, through technologies like the Internet of Things, enables more accurate predictive maintenance and market strategies by synthesizing data from various sources to make real decisions. Smart predictive maintenance uses big data to send signals to robots when self-configuration is needed to ensure accurate calibration.
Mobile Trends
This document discusses how government agencies are increasingly using mobile devices and applications. It summarizes the results of a survey that found high percentages of people feel mobile devices have or will affect their jobs. It then defines and provides examples of key mobile technology terms and trends, such as geolocation, responsive design, native apps, and wearable technology. Examples of how predictive technology can be used for payments and security are also mentioned. The document concludes by offering advice on implementing mobile strategies and providing contact information for further assistance.
IBM Analytics at Scale: Because Business Outcomes Matter
Advanced analytics at scale are needed to analyze the growing amounts of data. Data volumes double every year and soon there will be 1 trillion connected devices generating large amounts of data. Both data at rest in databases and data in motion from streaming sources need to be analyzed. IBM offers analytics platforms that can handle large volumes of structured and unstructured data from various sources to build models and get insights in real-time to help make better decisions.
How To Improve IoT Applications with Data Analytics
The IoT industry is at its peak right now and the true business value of the IoT lies in the analytics rather than the hardware novelties. It is known by now that data analytics and IoT are the future. Here are some ways to improve IoT devices with data analytics.
Big data analysis and Internet of Things(IoT)
This presentation contains about the applications of big data and IoT. It tells us about the characteristics of Big data and IoT.
Cps isi
This document discusses the evolution from traditional embedded systems to cyber-physical systems (CPS) in the context of the Internet of Things (IoT). It outlines key differences between embedded systems and CPS, with CPS being networked, leveraging cloud intelligence, and focusing on sensing, analytics and business intelligence. The document then provides examples of IoT applications and discusses challenges for IoT platforms, advocating for a model-driven development approach to address these challenges.
Making Smarter Systems with IoT and Analytics
To view recording of this webinar please use below URL:
http://wso2.com/library/webinars/2016/05/making-smarter-systems-with-iot-and-analytics/
Many systems today play an increasingly important role in our lives and communities. Systems can learn and adopt by themselves without having to follow a structured, predefined execution flow. They are digitally independant and have become smarter, faster and more reliable. Digital intelligence can be embedded not just in individual components but also across entire systems, impacting everything from traffic flows and electric power to the way our food is grown, processed and delivered. This is achieved by employing the capabilities of multiple disciplines. Devices and systems produce large volume unstructured data. Real-time or historical data can be analyzed to uncover hidden patterns, correlations and other insights and this information is then fed into machine learning algorithms that calculates predictions.
WSO2’s analytics platform together with the WSO2 IoT Server can provide all these capabilities. This webinar aims to
Identify key capabilities needed when composing a smart system
Explore how WSO2’s analytics platform can be used to make a system smarter
Discuss how WSO2 IoT Server manages and enable devices
Internet of Things
In this presentation, Manish introduces the concept of IoT and associated trends.His interest lies in merging IoT and nanotech to convert real life to a VR type reality.
Test prez
Technology is rapidly advancing health and medicine in areas such as digital medicine, genomics, neuroscience, connected health, artificial intelligence, and nanomedicine. These areas are converging through computing, big data, mobile devices, and other technologies to exponentially improve health interventions by making them faster, smaller, cheaper, and better. This convergence of technologies from various fields has the potential to transform the future of health and medicine.
Beyond AI The Rise of Cognitive Computing as Future of Computing ChatGPT Anal...
Cognitive computing, a revolutionary paradigm in computing, seeks to replicate and enhance human like intelligence by amalgamating artificial intelligence, machine learning, and natural language processing. This paper provides an overview of cognitive computing, emphasizing its core principles and applications across diverse industries. Key components, including adaptability, learning, and problem solving capabilities, distinguish cognitive computing from traditional computing models. The integration of natural language processing enables more intuitive human machine interactions, contributing to applications such as virtual assistants and personalized services. The paper explores the ethical considerations inherent in cognitive computing, highlighting the importance of transparency and responsible use. With continuous evolution and ongoing research, cognitive computing is on the verge to shape the future of computing, offering new opportunities and challenges in various domains. This abstract encapsulates the transformative nature of cognitive computing and its potential impact on the technological landscape. Manish Verma "Beyond AI: The Rise of Cognitive Computing as Future of Computing: ChatGPT Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-6 , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd61292.pdf Paper Url: https://www.ijtsrd.com/computer-science/artificial-intelligence/61292/beyond-ai-the-rise-of-cognitive-computing-as-future-of-computing-chatgpt-analysis/manish-verma
Artificial Intelligence: Predictions for 2017
Hear from top AI experts coming in from the world's most influential companies on predicted advances for AI in 2017.
AI Predictions 2017
- 2016 saw major growth in AI, with thousands of startups emerging and companies investing billions in AI research and development
- Machines ingested vast amounts of data to train themselves in fields like healthcare, finance, and customer service
- Experts predict that in 2017, AI will continue to rapidly transform many aspects of life as its applications become more commonplace and as research advances our understanding of how and why techniques like deep learning are so effective
ARTIFICIAL INTELLIGENCE IN CYBER SECURITY
Artificial intelligence techniques can help address challenges in cyber security that are difficult for humans to handle alone. Neural networks have proven effective for tasks like pattern recognition and classification that are well-suited to their speed of operation. Expert systems allow codifying security expertise to help with tasks like intrusion detection and response. As cyber threats evolve rapidly, applying learning approaches from artificial intelligence can help security systems adapt dynamically instead of relying only on fixed algorithms. Overall, artificial intelligence shows promise for enhancing cyber security capabilities by accelerating the intelligence of security systems.
The advent of artificial super intelligence and its impacts
Artificial Super Intelligence will be the first technology to potentially surpass humans in all dimensions. Until now, human beings have had a monopoly on decision-making and therefore have control over everything. With Artificial Super Intelligence, this can end. A wide range of consequences can occur, including extremely good consequences and consequences as bad as the extinction of the human species.
Watson and Analytics
This document introduces IBM's Watson and cognitive computing capabilities. It discusses how Watson uses technologies like natural language processing, machine learning, and deep learning to understand language, learn from interactions, and provide answers to questions. The document outlines IBM's vision of a "cognitive era" where systems can automate complex tasks by understanding, learning, and reasoning like humans. It promotes Watson and IBM's cognitive APIs and services as tools to help organizations gain insights from data and transform their business operations and customer experiences for the cognitive era.
Big Data Expo 2015 - IBM 5 predictions
Over the past decade, cloud computing has acted as a disrupter in several areas of IT business. Soon, it will overhaul one area of technology that has been in rapid growth itself: Data Analytics. Nicky will focus on the recent study of IBM Institute of Business Value which shows that capabilities that enable an organization to consume data faster – to move from raw data to insight-driven actions – are now the key differentiator to creating value using data and analytics. He will also talk about the requirements for the underlying infrastructure as critical component allowing real-time crunching and analysis of high volume of data. Based on real cases like retailers and energy companies, we will look at five predictions in five years, based on:
Analytics, Big data, and Cloud coming together will energize the Speed Advantage.
BetaGroup - Tech Trends in 2017, a snap shot by BetaGroup
The document discusses 13 emerging technology trends for the next few years: 1) Artificial Intelligence and Machine Learning, 2) Intelligent Apps, 3) Intelligent Things, 4) Virtual and Augmented Reality, 5) Digital Twins, 6) Blockchain, 7) Conversational Systems, 8) Digital Technology Platforms, 9) Adaptive Security Architecture, 10) Mesh App & Service Architecture, 11) Humanized Big Data, 12) Physical Digital Integrations, and 13) Everything on Demand. Each trend is briefly described and examples are provided. The document cautions that accurately predicting technology's future is difficult due to potential surprises.
Cognitive computing
The document discusses cognitive computing, which relies on techniques like expert systems, statistics, and mathematical models to mimic human reasoning. Cognitive computing systems can handle uncertainties and complex problems through experience and learning. The key aspects are:
- Cognitive computing represents self-learning systems that use machine learning models to mimic the human brain.
- The "brain" of cognitive systems is the neural network, which underlies deep learning.
- Cognitive computing aims to simulate human thought to solve complex problems through data analysis, pattern recognition, and natural language processing like the human brain.
Principles of Artificial Intelligence & Machine Learning
Artificial intelligence has captivated me since I worked on projects at Google that ranged from detecting fraud on Google Cloud to predicting subscriber retention on YouTube Red. Looking to broaden my professional experience, I then entered the world of venture capital by joining Baidu Ventures as its first summer investment associate where I got to work with amazingly talented founders building AI-focused startups.
Now at the Wharton School at the University of Pennsylvania, I am looking for opportunities to meet people with interesting AI-related ideas and learn about the newest innovations within the AI ecosystem. Within the first two months of business school, I connected with Nicholas Lind, a second-year Wharton MBA student who interned at IBM Watson as a data scientist. Immediately recognizing our common passion for AI, we produced a lunch-and-learn about AI and machine learning (ML) for our fellow classmates.
Using the following deck, we sought to:
- define artificial intelligence and describe its applications in business
- decode buzzwords such as “deep learning” and “cognitive computing”
- highlight analytical techniques and best practices used in AI / ML
- ultimately, educate future AI leaders
The lunch-and-learn was well received. When it became apparent that it was the topic at hand and not so much the free pizzas that attracted the overflowing audience, I was amazed at the level of interest. It was reassuring to hear that classmates were interested in learning more about the technology and its practical applications in solving everyday business challenges. Nick and I are now laying a foundation to make these workshops an ongoing effort so that more people across the various schools of engineering, design, and Penn at large can benefit.
With its focus on quantitative rigor, Wharton already feels like a perfect fit for me. In the next two years, I look forward to engaging with like-minded people, both in and out of the classroom, sharing my knowledge about AI with my peers, and learning from them in turn. By working together to expand Penn’s reach and reputation with respect to this new frontier, I’m confident that we can all grow into next-generation leaders who help drive companies forward in an era of artificial intelligence.
I’d love to hear what you think. If you found this post or the deck useful, please recommend them to your friends and colleagues!
Artificial intelligence and Internet of Things.pptx
The document discusses artificial intelligence (AI) and the Internet of Things (IoT). It defines AI as using machines to simulate human intelligence through learning, reasoning and self-correction. IoT is defined as the network of physical devices connected through software and sensors to exchange data. The document outlines key applications of AI in healthcare, retail, education and more. It also discusses applications of IoT in healthcare, traffic monitoring, agriculture and fleet management. Finally, it discusses the future integration of AI and IoT, noting their potential to optimize systems, provide personalized recommendations and enable predictive maintenance through analysis of data collected by IoT devices.
K4b Technology Innovation — Trends and Opportunities.pptx
This document discusses emerging technology trends and opportunities for innovation in several areas:
1) Artificial intelligence is making rapid progress and will continue to power more intelligent digital assistants, personalized experiences, and solutions to problems like fake news.
2) Natural user interfaces using voice, vision, touch and other senses will enable more seamless, personalized interactions through technologies like virtual assistants.
3) Virtual and augmented reality technologies are expanding into new applications in education, healthcare, social media and more. There are significant opportunities for innovative new experiences and content.
More Related Content
What's hot
3rd Wave of Computing - Ambient Computing
The computing industry has undergone a dramatic shift in the last five years. The exponential growth in the power of computer chips by doubling the number of transistors in a dense integrated circuit approximately every two years, known as Moore’s Law is now replaced by an exponential growth of data. Data volumes are doubling every two years as innovative technologies such as IoT, AI, VR, AR are flooding enterprises with an endless stream of data. The amount of data created every day is estimated at 2.5 quintillion bytes.
Data is the new oil. It is just like crude. It’s valuable, but only when refined. You need to break it down and analyze it to extract value. The need to analyze this vast amount of data to extract value is being addressed using concepts such as edge computing or fog computing. However, what exactly is needed is ambient computing.
Ambient computing is the local computing surrounding on all sides – omnipresent.
The ambient computing paradigm builds upon computing available in things around us. However, these things do not work as individually smart but work together as a team. Think, massively distributed device networks around you:
* Recognizing you and your situational context
* Changing in response to you
* Anticipating your desires without conscious mediation
Ambient computing does not mean that we will not need cloud computing anymore
* The idea is to divide the workload so that processing is closer to the point of interaction
* Think of this as a method of accelerating and improving the performance of cloud computing
* Smarter partitioning of data processing between point of interaction & cloud
It will be achieved by adding intelligence and capabilities into our surroundings. The Compute will disappear around us.
You need to start exploring how you will enable ambient computing.
Big Data and Robotics
Robotics relies on collecting and analyzing large amounts of data from sensors to perceive environments, plan actions, and achieve goals. The combination of robotics and big data, through technologies like the Internet of Things, enables more accurate predictive maintenance and market strategies by synthesizing data from various sources to make real decisions. Smart predictive maintenance uses big data to send signals to robots when self-configuration is needed to ensure accurate calibration.
Mobile Trends
This document discusses how government agencies are increasingly using mobile devices and applications. It summarizes the results of a survey that found high percentages of people feel mobile devices have or will affect their jobs. It then defines and provides examples of key mobile technology terms and trends, such as geolocation, responsive design, native apps, and wearable technology. Examples of how predictive technology can be used for payments and security are also mentioned. The document concludes by offering advice on implementing mobile strategies and providing contact information for further assistance.
IBM Analytics at Scale: Because Business Outcomes Matter
Advanced analytics at scale are needed to analyze the growing amounts of data. Data volumes double every year and soon there will be 1 trillion connected devices generating large amounts of data. Both data at rest in databases and data in motion from streaming sources need to be analyzed. IBM offers analytics platforms that can handle large volumes of structured and unstructured data from various sources to build models and get insights in real-time to help make better decisions.
How To Improve IoT Applications with Data Analytics
The IoT industry is at its peak right now and the true business value of the IoT lies in the analytics rather than the hardware novelties. It is known by now that data analytics and IoT are the future. Here are some ways to improve IoT devices with data analytics.
Big data analysis and Internet of Things(IoT)
This presentation contains about the applications of big data and IoT. It tells us about the characteristics of Big data and IoT.
Cps isi
This document discusses the evolution from traditional embedded systems to cyber-physical systems (CPS) in the context of the Internet of Things (IoT). It outlines key differences between embedded systems and CPS, with CPS being networked, leveraging cloud intelligence, and focusing on sensing, analytics and business intelligence. The document then provides examples of IoT applications and discusses challenges for IoT platforms, advocating for a model-driven development approach to address these challenges.
Making Smarter Systems with IoT and Analytics
To view recording of this webinar please use below URL:
http://wso2.com/library/webinars/2016/05/making-smarter-systems-with-iot-and-analytics/
Many systems today play an increasingly important role in our lives and communities. Systems can learn and adopt by themselves without having to follow a structured, predefined execution flow. They are digitally independant and have become smarter, faster and more reliable. Digital intelligence can be embedded not just in individual components but also across entire systems, impacting everything from traffic flows and electric power to the way our food is grown, processed and delivered. This is achieved by employing the capabilities of multiple disciplines. Devices and systems produce large volume unstructured data. Real-time or historical data can be analyzed to uncover hidden patterns, correlations and other insights and this information is then fed into machine learning algorithms that calculates predictions.
WSO2’s analytics platform together with the WSO2 IoT Server can provide all these capabilities. This webinar aims to
Identify key capabilities needed when composing a smart system
Explore how WSO2’s analytics platform can be used to make a system smarter
Discuss how WSO2 IoT Server manages and enable devices
Internet of Things
In this presentation, Manish introduces the concept of IoT and associated trends.His interest lies in merging IoT and nanotech to convert real life to a VR type reality.
Test prez
Technology is rapidly advancing health and medicine in areas such as digital medicine, genomics, neuroscience, connected health, artificial intelligence, and nanomedicine. These areas are converging through computing, big data, mobile devices, and other technologies to exponentially improve health interventions by making them faster, smaller, cheaper, and better. This convergence of technologies from various fields has the potential to transform the future of health and medicine.
What's hot (10)
IBM Analytics at Scale: Because Business Outcomes Matter
IBM Analytics at Scale: Because Business Outcomes Matter
How To Improve IoT Applications with Data Analytics
How To Improve IoT Applications with Data Analytics
Similar to Cognitive analytics 2016
Beyond AI The Rise of Cognitive Computing as Future of Computing ChatGPT Anal...
Cognitive computing, a revolutionary paradigm in computing, seeks to replicate and enhance human like intelligence by amalgamating artificial intelligence, machine learning, and natural language processing. This paper provides an overview of cognitive computing, emphasizing its core principles and applications across diverse industries. Key components, including adaptability, learning, and problem solving capabilities, distinguish cognitive computing from traditional computing models. The integration of natural language processing enables more intuitive human machine interactions, contributing to applications such as virtual assistants and personalized services. The paper explores the ethical considerations inherent in cognitive computing, highlighting the importance of transparency and responsible use. With continuous evolution and ongoing research, cognitive computing is on the verge to shape the future of computing, offering new opportunities and challenges in various domains. This abstract encapsulates the transformative nature of cognitive computing and its potential impact on the technological landscape. Manish Verma "Beyond AI: The Rise of Cognitive Computing as Future of Computing: ChatGPT Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-6 , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd61292.pdf Paper Url: https://www.ijtsrd.com/computer-science/artificial-intelligence/61292/beyond-ai-the-rise-of-cognitive-computing-as-future-of-computing-chatgpt-analysis/manish-verma
Artificial Intelligence: Predictions for 2017
Hear from top AI experts coming in from the world's most influential companies on predicted advances for AI in 2017.
AI Predictions 2017
- 2016 saw major growth in AI, with thousands of startups emerging and companies investing billions in AI research and development
- Machines ingested vast amounts of data to train themselves in fields like healthcare, finance, and customer service
- Experts predict that in 2017, AI will continue to rapidly transform many aspects of life as its applications become more commonplace and as research advances our understanding of how and why techniques like deep learning are so effective
ARTIFICIAL INTELLIGENCE IN CYBER SECURITY
Artificial intelligence techniques can help address challenges in cyber security that are difficult for humans to handle alone. Neural networks have proven effective for tasks like pattern recognition and classification that are well-suited to their speed of operation. Expert systems allow codifying security expertise to help with tasks like intrusion detection and response. As cyber threats evolve rapidly, applying learning approaches from artificial intelligence can help security systems adapt dynamically instead of relying only on fixed algorithms. Overall, artificial intelligence shows promise for enhancing cyber security capabilities by accelerating the intelligence of security systems.
The advent of artificial super intelligence and its impacts
Artificial Super Intelligence will be the first technology to potentially surpass humans in all dimensions. Until now, human beings have had a monopoly on decision-making and therefore have control over everything. With Artificial Super Intelligence, this can end. A wide range of consequences can occur, including extremely good consequences and consequences as bad as the extinction of the human species.
Watson and Analytics
This document introduces IBM's Watson and cognitive computing capabilities. It discusses how Watson uses technologies like natural language processing, machine learning, and deep learning to understand language, learn from interactions, and provide answers to questions. The document outlines IBM's vision of a "cognitive era" where systems can automate complex tasks by understanding, learning, and reasoning like humans. It promotes Watson and IBM's cognitive APIs and services as tools to help organizations gain insights from data and transform their business operations and customer experiences for the cognitive era.
Big Data Expo 2015 - IBM 5 predictions
Over the past decade, cloud computing has acted as a disrupter in several areas of IT business. Soon, it will overhaul one area of technology that has been in rapid growth itself: Data Analytics. Nicky will focus on the recent study of IBM Institute of Business Value which shows that capabilities that enable an organization to consume data faster – to move from raw data to insight-driven actions – are now the key differentiator to creating value using data and analytics. He will also talk about the requirements for the underlying infrastructure as critical component allowing real-time crunching and analysis of high volume of data. Based on real cases like retailers and energy companies, we will look at five predictions in five years, based on:
Analytics, Big data, and Cloud coming together will energize the Speed Advantage.
BetaGroup - Tech Trends in 2017, a snap shot by BetaGroup
The document discusses 13 emerging technology trends for the next few years: 1) Artificial Intelligence and Machine Learning, 2) Intelligent Apps, 3) Intelligent Things, 4) Virtual and Augmented Reality, 5) Digital Twins, 6) Blockchain, 7) Conversational Systems, 8) Digital Technology Platforms, 9) Adaptive Security Architecture, 10) Mesh App & Service Architecture, 11) Humanized Big Data, 12) Physical Digital Integrations, and 13) Everything on Demand. Each trend is briefly described and examples are provided. The document cautions that accurately predicting technology's future is difficult due to potential surprises.
Cognitive computing
The document discusses cognitive computing, which relies on techniques like expert systems, statistics, and mathematical models to mimic human reasoning. Cognitive computing systems can handle uncertainties and complex problems through experience and learning. The key aspects are:
- Cognitive computing represents self-learning systems that use machine learning models to mimic the human brain.
- The "brain" of cognitive systems is the neural network, which underlies deep learning.
- Cognitive computing aims to simulate human thought to solve complex problems through data analysis, pattern recognition, and natural language processing like the human brain.
Principles of Artificial Intelligence & Machine Learning
Artificial intelligence has captivated me since I worked on projects at Google that ranged from detecting fraud on Google Cloud to predicting subscriber retention on YouTube Red. Looking to broaden my professional experience, I then entered the world of venture capital by joining Baidu Ventures as its first summer investment associate where I got to work with amazingly talented founders building AI-focused startups.
Now at the Wharton School at the University of Pennsylvania, I am looking for opportunities to meet people with interesting AI-related ideas and learn about the newest innovations within the AI ecosystem. Within the first two months of business school, I connected with Nicholas Lind, a second-year Wharton MBA student who interned at IBM Watson as a data scientist. Immediately recognizing our common passion for AI, we produced a lunch-and-learn about AI and machine learning (ML) for our fellow classmates.
Using the following deck, we sought to:
- define artificial intelligence and describe its applications in business
- decode buzzwords such as “deep learning” and “cognitive computing”
- highlight analytical techniques and best practices used in AI / ML
- ultimately, educate future AI leaders
The lunch-and-learn was well received. When it became apparent that it was the topic at hand and not so much the free pizzas that attracted the overflowing audience, I was amazed at the level of interest. It was reassuring to hear that classmates were interested in learning more about the technology and its practical applications in solving everyday business challenges. Nick and I are now laying a foundation to make these workshops an ongoing effort so that more people across the various schools of engineering, design, and Penn at large can benefit.
With its focus on quantitative rigor, Wharton already feels like a perfect fit for me. In the next two years, I look forward to engaging with like-minded people, both in and out of the classroom, sharing my knowledge about AI with my peers, and learning from them in turn. By working together to expand Penn’s reach and reputation with respect to this new frontier, I’m confident that we can all grow into next-generation leaders who help drive companies forward in an era of artificial intelligence.
I’d love to hear what you think. If you found this post or the deck useful, please recommend them to your friends and colleagues!
Artificial intelligence and Internet of Things.pptx
The document discusses artificial intelligence (AI) and the Internet of Things (IoT). It defines AI as using machines to simulate human intelligence through learning, reasoning and self-correction. IoT is defined as the network of physical devices connected through software and sensors to exchange data. The document outlines key applications of AI in healthcare, retail, education and more. It also discusses applications of IoT in healthcare, traffic monitoring, agriculture and fleet management. Finally, it discusses the future integration of AI and IoT, noting their potential to optimize systems, provide personalized recommendations and enable predictive maintenance through analysis of data collected by IoT devices.
K4b Technology Innovation — Trends and Opportunities.pptx
This document discusses emerging technology trends and opportunities for innovation in several areas:
1) Artificial intelligence is making rapid progress and will continue to power more intelligent digital assistants, personalized experiences, and solutions to problems like fake news.
2) Natural user interfaces using voice, vision, touch and other senses will enable more seamless, personalized interactions through technologies like virtual assistants.
3) Virtual and augmented reality technologies are expanding into new applications in education, healthcare, social media and more. There are significant opportunities for innovative new experiences and content.
ARTIFICIAL INTELLIGENT ( ITS / TASK 6 ) done by Wael Saad Hameedi / P71062
This document provides an overview of artificial intelligence and several AI techniques. It discusses neural networks, genetic algorithms, expert systems, fuzzy logic, and the suitability of AI for solving transportation problems. Neural networks can be used to perform tasks like optical character recognition by analyzing images. Genetic algorithms use principles of natural selection to arrive at optimal solutions. Expert systems mimic human experts to provide advice. Fuzzy logic allows for gradual membership in sets rather than binary membership. Complexity and uncertainty make transportation well-suited for AI approaches.
Analytics trends deloitte
The document discusses six analytics trends that are likely to influence business in coming years:
1. Analytics is expanding across enterprises as organizations move towards becoming insight-driven.
2. Cognitive technologies and machines are evolving to work alongside humans in complementing roles.
3. Cybersecurity is becoming more predictive and proactive to anticipate threats.
4. The Internet of Things is enabling new innovations through aggregating and analyzing sensor data.
5. Companies are taking creative steps to address the shortage of analytics talent.
6. Analytics success requires a mix of both new and familiar topics as analytics becomes embedded in decision making.
Marcos Taccolini | Top Ten Technology Trends of 2015
3D printing will reach a tipping point over the next three years as the market for low-cost 3D printing devices grows rapidly and industrial use expands significantly. Computing will increasingly adapt to the requirements of mobile users as devices proliferate and IT loses control of endpoints. The Internet of Things will create new usage models like pay-per-use that can be applied across industries by leveraging data streams from digitized assets, services, people, places and systems.
Cognitive IoT Whitepaper_Dec 2015
This document discusses how cognitive computing can help realize the full potential of the Internet of Things (IoT). It notes that while early IoT applications are providing value, the vast majority of data generated by IoT devices is currently unused. Cognitive systems that can learn from large amounts of structured and unstructured data have the potential to extract much more insights from IoT data and enable more advanced IoT applications. The document outlines some key foundations for a successful IoT strategy and argues that cognitive systems like IBM's Watson platform can help address the data challenges of IoT by facilitating deeper human engagement, continuous learning, predictive capabilities, knowledge sharing and optimization of complex systems.
Top And Best Digital Marketing Agency With AI
Elevate your brand with Digitalaanmo, the top agency for the best and affordable digital marketing services. Unleash success with our expert agency solutions
Five Converging Forces that Are Driving Technological Evolution
This document discusses five converging forces that are driving technological evolution: 1) The drive to create intelligent systems through advances in AI, automation and machine learning. 2) The genesis of interconnected systems through IoT, edge computing and digital twins. 3) The need for more effective human-machine interfaces through immersive technologies like AR/VR and haptics. 4) The demand for advanced communication technologies like 5G. 5) The development of quantum technologies to go beyond current limitations. These forces are creating intelligent, interconnected systems and transforming industries through applications of technologies like robotics, autonomous vehicles, and smart infrastructure.
Artificial Intelligence And The Legal Profession
This document summarizes the key developments and implications of artificial intelligence (AI) for the legal profession. It discusses how:
1) AI is being used in legal document analysis, generating legal documents, and advising lawyers by answering questions and monitoring new case law.
2) These applications could impact the number and nature of legal jobs by reducing roles for lower-skilled work and changing the skills required of lawyers, with implications for legal education.
3) Firms may see changes to their structures and business models to adapt to lower costs from AI and changing fee structures. Overall, the document outlines both opportunities and challenges that AI poses for the legal field.
Area's of Artificial Inteligence .pptx
JyotPrakash Gugnani, Student of sem 2 from department of journalism and mass communication, JIMS Vasant Kunj II talk about Areas of Artificial Intelligence. Have a Look!! For more updates: visit: jimssouthdelhi.com
Similar to Cognitive analytics 2016 (20)
Beyond AI The Rise of Cognitive Computing as Future of Computing ChatGPT Anal...
Beyond AI The Rise of Cognitive Computing as Future of Computing ChatGPT Anal...
The advent of artificial super intelligence and its impacts
The advent of artificial super intelligence and its impacts
BetaGroup - Tech Trends in 2017, a snap shot by BetaGroup
BetaGroup - Tech Trends in 2017, a snap shot by BetaGroup
Principles of Artificial Intelligence & Machine Learning
Principles of Artificial Intelligence & Machine Learning
Artificial intelligence and Internet of Things.pptx
Artificial intelligence and Internet of Things.pptx
K4b Technology Innovation — Trends and Opportunities.pptx
K4b Technology Innovation — Trends and Opportunities.pptx
ARTIFICIAL INTELLIGENT ( ITS / TASK 6 ) done by Wael Saad Hameedi / P71062
ARTIFICIAL INTELLIGENT ( ITS / TASK 6 ) done by Wael Saad Hameedi / P71062
Marcos Taccolini | Top Ten Technology Trends of 2015
Marcos Taccolini | Top Ten Technology Trends of 2015
Five Converging Forces that Are Driving Technological Evolution
Five Converging Forces that Are Driving Technological Evolution
More from Christine Astovasadourian
Human machine-interchange
This document discusses how intelligent automation is transforming business operations through the use of machines that can learn, adapt, and make autonomous decisions. It provides the following key points:
1) Three-quarters of executives surveyed believe intelligent machines will have a meaningful impact on their business performance within the next three years and are seeing benefits like increased efficiency and productivity.
2) While industries like automotive and healthcare are leaders in adopting technologies like AI/machine learning, most organizations still have work to do in training employees, optimizing processes for automation, and making complex decisions at scale.
3) As foundational technologies like cloud and IoT continue to spread, the use of intelligent automation is expected to grow substantially over the next
GSS_Certificate_Graduation
Christine Astovasadourian has graduated from the IBM Global Sales School. The certificate was issued by Paula Cushing, the Director of Sales, Industry and Growth Plays Learning at IBM. The certificate was dated May 20, 2016.
What's new in ibm notes and ibm domino v1
IBM Notes and Domino had a productive year in 2015, releasing several updates and new features. Plans for 2016 include bringing the Domino platform to Bluemix to allow XPages applications to be developed and run in the cloud. The IBM Client Access Application will be updated with standalone installation and improved support for commands and themes. IBM SmartCloud Notes and Verse also had a strong year with over 100 updates, new migration, administrator, end-user, and language capabilities. Roadmaps emphasize continued innovation through third-party integration, Watson assistants, and potential on-premises versions of Verse.
Cognitive business
This document provides an introduction to cognitive solutions and how they are enhancing the way businesses operate. It discusses how cognitive solutions like IBM's Watson are able to learn from data to gain insights and understand information in a way that was previously not possible. The document highlights several ways that cognitive solutions are already being used by businesses, from aiding decision making to retaining expertise to providing predictive analytics. It also provides examples of how cognitive solutions can benefit both small and large businesses.
Cognitive analytics 2016
Cognitive analytics will become ubiquitous in everyday life through devices like mobile phones and IoT devices. It will also be a major focus of innovation as developers build cognitive applications and data scientists with cognitive skills are in high demand. Additionally, cognitive analytics will start to converge and analyze all types of big data, including non-traditional sources like sensor data and media streams.
Ibm energy
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Top 10 social tips
This document provides 10 social media tips, including being authentic in social media by embracing an extension of your personal brand, listening as much as talking at social events like cocktail parties, using social media to drive traffic to your website, engaging audiences with images and multimedia, following thought leaders in your field, monitoring social media to understand audience interests, creating an action plan to manage your digital presence, and connecting all social media accounts so people can find you easily.
Analytics Cybersecurity Predictions 2016
Check out the Analytics Cybersecurity Predictions 2016
Don't Forget to also subscribe to IBM Cybersecurity Events coming up soon >>>
https://securityintelligence.com/events/
2016 Data-Driven Predictions
This document outlines 6 data-driven leadership trends for 2016 as predicted by IBM THINK Leaders. The trends are:
1) Data-powered personalization, using customer data to personalize experiences.
2) "Big empathy" using big data and AI to make more compassionate, emotionally intelligent decisions.
3) A data-driven culture where data and analytics influence all executive and organizational decisions.
4) Prioritizing "survival of the fittest data" that provides real competitive advantages and business value.
5) "Hyper-relevancy" using location data to immediately connect consumers with relevant information and offers.
6) Integrating "data by design" thinking to
Cognitive computing insurance
This document discusses how cognitive computing using IBM Watson can transform various areas in the insurance industry by going beyond traditional predictive analytics. It provides examples of how Watson can be used for underwriting advisors, wealth advisors, customer self-service virtual agents, claims adjusting, and other areas. Watson understands natural language, generates hypotheses, and learns as it analyzes large amounts of structured and unstructured data. This allows it to help insurance professionals make more informed decisions.
More from Christine Astovasadourian (11)
Recently uploaded
成绩单ps(UST毕业证)圣托马斯大学毕业证成绩单快速办理
一比一原版制作UST毕业证【微信176555708】圣托马斯大学毕业证书原版↑制作圣托马斯大学学历认证文凭办理圣托马斯大学留信网认证,留学回国办理毕业证成绩单文凭学历认证【微信176555708】专业为海外学子办理毕业证成绩单、文凭制作，学历仿制，回国人员证明、做文凭，研究生、本科、硕士学历认证、留信认证、结业证、学位证书样本、美国教育部认证百分百真实存档可查】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
◆◆◆◆◆ — — — — — — — — 【留学教育】留学归国服务中心 — — — — — -◆◆◆◆◆
【主营项目】
一.毕业证【微信：176555708】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微信：176555708】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分→ 【关于价格问题（保证一手价格）
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
学历顾问：微信：176555708
Ready to Unlock the Power of Blockchain!
Imagine a world where data flows freely, yet remains secure. A world where trust is built into the fabric of every transaction. This is the promise of blockchain, a revolutionary technology poised to reshape our digital landscape.
Toptal Tech is at the forefront of this innovation, connecting you with the brightest minds in blockchain development. Together, we can unlock the potential of this transformative technology, building a future of transparency, security, and endless possibilities.
重新申请毕业证书(RMIT毕业证)皇家墨尔本理工大学毕业证成绩单精仿办理
不能毕业办理【RMIT毕业证【微信176555708】皇家墨尔本理工大学文凭学历】【微信176555708】【皇家墨尔本理工大学文凭学历证书】【皇家墨尔本理工大学毕业证书与成绩单样本图片】毕业证书补办 Fake Degree做学费单【毕业证明信-推荐信】成绩单，录取通知书，Offer，在读证明，雅思托福成绩单，真实大使馆教育部认证，回国人员证明，留信网认证。网上存档永久可查！全套服务：皇家墨尔本理工大学皇家墨尔本理工大学本科学位证成绩单真实回国人员证明 #真实教育部认证。让您回国发展信心十足#铸就十年品质！信誉！实体公司！可以视频看办公环境样板如需办理真实可查可以先到公司面谈勿轻信小中介黑作坊！
可以提供皇家墨尔本理工大学钢印 #水印 #烫金 #激光防伪 #凹凸版 #最新版的毕业证 #百分之百让您绝对满意
印刷DHL快递毕业证 #成绩单7个工作日真实大使馆教育部认证1个月。为了达到高水准高效率
请您先以qq或微信的方式对我们的服务进行了解后如果有皇家墨尔本理工大学皇家墨尔本理工大学本科学位证成绩单帮助再进行电话咨询。
国外毕业证学位证成绩单如何办理：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作皇家墨尔本理工大学毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
一比一原版(LBS毕业证)伦敦商学院毕业证成绩单专业办理
LBS毕业证原版定制【微信：176555708】【伦敦商学院毕业证成绩单-学位证】【微信：176555708】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
◆◆◆◆◆ — — — — — — — — 【留学教育】留学归国服务中心 — — — — — -◆◆◆◆◆
【主营项目】
一.毕业证【微信：176555708】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微信：176555708】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
学历顾问：微信：176555708
Search Result Showing My Post is Now Buried
Search results burying my post that used to rank before Google's March 2024 algorithm update.
一比一原版(SLU毕业证)圣路易斯大学毕业证成绩单专业办理
SLU毕业证原版定制【微信：176555708】【圣路易斯大学毕业证成绩单-学位证】【微信：176555708】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
◆◆◆◆◆ — — — — — — — — 【留学教育】留学归国服务中心 — — — — — -◆◆◆◆◆
【主营项目】
一.毕业证【微信：176555708】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微信：176555708】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
学历顾问：微信：176555708
办理新西兰奥克兰大学毕业证学位证书范本原版一模一样
原版一模一样【微信：741003700 】【新西兰奥克兰大学毕业证学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Understanding User Behavior with Google Analytics.pdf
Unlocking the full potential of Google Analytics is crucial for understanding and optimizing your website’s performance. This guide dives deep into the essential aspects of Google Analytics, from analyzing traffic sources to understanding user demographics and tracking user engagement.
Traffic Sources Analysis:
Discover where your website traffic originates. By examining the Acquisition section, you can identify whether visitors come from organic search, paid campaigns, direct visits, social media, or referral links. This knowledge helps in refining marketing strategies and optimizing resource allocation.
User Demographics Insights:
Gain a comprehensive view of your audience by exploring demographic data in the Audience section. Understand age, gender, and interests to tailor your marketing strategies effectively. Leverage this information to create personalized content and improve user engagement and conversion rates.
Tracking User Engagement:
Learn how to measure user interaction with your site through key metrics like bounce rate, average session duration, and pages per session. Enhance user experience by analyzing engagement metrics and implementing strategies to keep visitors engaged.
Conversion Rate Optimization:
Understand the importance of conversion rates and how to track them using Google Analytics. Set up Goals, analyze conversion funnels, segment your audience, and employ A/B testing to optimize your website for higher conversions. Utilize ecommerce tracking and multi-channel funnels for a detailed view of your sales performance and marketing channel contributions.
Custom Reports and Dashboards:
Create custom reports and dashboards to visualize and interpret data relevant to your business goals. Use advanced filters, segments, and visualization options to gain deeper insights. Incorporate custom dimensions and metrics for tailored data analysis. Integrate external data sources to enrich your analytics and make well-informed decisions.
This guide is designed to help you harness the power of Google Analytics for making data-driven decisions that enhance website performance and achieve your digital marketing objectives. Whether you are looking to improve SEO, refine your social media strategy, or boost conversion rates, understanding and utilizing Google Analytics is essential for your success.
一比一原版(CSU毕业证)加利福尼亚州立大学毕业证成绩单专业办理
CSU毕业证原版定制【微信：176555708】【加利福尼亚州立大学毕业证成绩单-学位证】【微信：176555708】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
◆◆◆◆◆ — — — — — — — — 【留学教育】留学归国服务中心 — — — — — -◆◆◆◆◆
【主营项目】
一.毕业证【微信：176555708】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微信：176555708】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
学历顾问：微信：176555708
假文凭国外(Adelaide毕业证)澳大利亚国立大学毕业证成绩单办理
购买澳大利亚国立大学毕业证>【微信176555708】办理澳大利亚国立大学毕业证成绩单【微信176555708】Adelaide毕业证成绩单Adelaide学历证书Adelaide文凭【Adelaide毕业套号文凭网认证澳大利亚国立大学毕业证成绩单】【哪里买澳大利亚国立大学毕业证文凭Adelaide成绩学校快递邮寄信封】【开版澳大利亚国立大学文凭】Adelaide留信认证本科硕士学历认证(诚招代理)微信：176555708办理国外高校毕业证成绩单文凭学位证,真实使馆公证（留学回国人员证明）真实留信网认证国外学历学位认证雅思代考国外学校代申请名校保录开请假条改GPA改成绩ID卡
1.高仿业务:【本科硕士】毕业证,成绩单（GPA修改）,学历认证（教育部认证）,大学Offer,,ID,留信认证,使馆认证,雅思,语言证书等高仿类证书；
2.认证服务: 学历认证（教育部认证）,大使馆认证（回国人员证明）,留信认证（可查有编号证书）,大学保录取,雅思保分成绩单。
3.技术服务：钢印水印烫金激光防伪凹凸版设计印刷激凸温感光标底纹镭射速度快。
办理澳大利亚国立大学澳大利亚国立大学毕业证成绩单流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
-办理真实使馆公证（即留学回国人员证明）
-办理各国各大学文凭（世界名校一对一专业服务,可全程监控跟踪进度）
-全套服务：毕业证成绩单真实使馆公证真实教育部认证。让您回国发展信心十足！
（详情请加一下 文凭顾问+微信:176555708）欢迎咨询！
存档可查的(USC毕业证)南加利福尼亚大学毕业证成绩单制做办理
精仿办理南加利福尼亚大学毕业证成绩单（【微信176555708】）毕业证学历认证OFFER专卖国外文凭学历学位证书办理澳洲文凭|澳洲毕业证,澳洲学历认证,澳洲成绩单【微信176555708】 澳洲offer,教育部学历认证及使馆认证永久可查 ,国外毕业证|国外学历认证,国外学历文凭证书 USC毕业证，USC毕业证，USC毕业证，USC毕业证，USC毕业证，USC毕业证【微信176555708】，USC毕业证，专业为留学生办理毕业证、成绩单、使馆留学回国人员证明、教育部学历学位认证、录取通知书、Offer、（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
◆◆◆◆◆ — — — — — — — — 【留学教育】留学归国服务中心 — — — — — -◆◆◆◆◆
【主营项目】
一.毕业证【微信：176555708】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微信：176555708】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分→ 【关于价格问题（保证一手价格）
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
学历顾问：微信：176555708
学位认证网(DU毕业证)迪肯大学毕业证成绩单一比一原版制作
24小时办理【微信176555708】【毕业证明信-推荐信做学费单】成绩单，录取通知书，Offer，在读证明，雅思托福成绩单，真实大使馆教育部认证，回国人员证明，留信网认证。网上存档永久可查！
degree，Transcripts（一对一服务包括毕业院长签字,专业课程,学位类型,专业或教育领域,以及毕业日期.不要忽视这些细节.这两份文件同样重要!毕业证成绩单文凭留信网学历认证！）如果您是以下情况，我们都能竭诚为您解决实际问题：【公司采用定金+余款的付款流程，以最大化保障您的利益，让您放心无忧】
1、在校期间，因各种原因未能顺利毕业，拿不到官方迪肯大学毕业证+微信176555708；
2、面对父母的压力，希望尽快拿到；
3、不清楚流程以及材料该如何准备；
4、回国时间很长，忘记办理毕业证丢失 学历认证《迪肯大学毕业证》微信176555708《DU学位证书购买》
学位证书验证；
5、回国马上就要找工作，办给用人单位看；
6、企事业单位必须要求办理学历证书 英文《迪肯大学毕业证》微信176555708《DU学位证书购买》
本科毕业证书扫描件的；
微信176555708面向迪肯大学毕业留学生提供以下服务:
【★迪肯大学毕业证、成绩单等全套材料，从防伪到印刷，从水印到钢印烫金，与学校100%相同】
【★大学学历 硕士学位《迪肯大学毕业证》微信176555708《DU学位证书购买》
硕士毕业证】
【★毕业证书范本】
【★真实留信认证，留信网入库存档，可查】
主营项目：
a.办理海外毕业证认证《迪肯大学毕业证》微信176555708《DU学位证书购买》
学位证书英文版，改成绩单，Offer、在读证明、学生卡、信封、证明信等全套材料，从防伪到印刷，从水印到钢印烫金，高精仿度跟学校原版100%相同.
b.真实使馆认证（即留学人员回国证明），使馆存档可通过大使馆查询确认.
c.真实教育部国外学历学位认证，教育部存档，教育部留服网站100%可查.
d.留信网认证，国家专业人才认证中心颁发入库证书，留信网存档可查.
e.招聘中介代理：本公司诚聘各地代理人员以及留学生，如果你有业余时间，有兴趣就请联系我们，我们会给到您的回报！期待您的加盟：一朝办理，终身受益（本信息长期有效）互惠互利，为广大海内外学子及有需要的人士在事业上跨过这道门槛！
【业务选择办理准则】
1.如果您只是为了的应付父母亲戚朋友看下迪肯大学毕业证，那么办理一份学位即可
2.如果您是为了回国找工作，只是进私营企业或者外企，那么办理一份多大学历认证有时间限制吗《迪肯大学毕业证》微信176555708《DU学位证书购买》
毕业证丢失补办即可，因为私营企业或者外企是不能查询学位真假的！
3.如果您是要进国企银行事业单位考公务员等就需办理真实学历认证！
诚招代理：本公司诚聘当地合作代理人员，如果你有业余时间，有兴趣就请联系我们。
制作原版1:1(Monash毕业证)莫纳什大学毕业证成绩单办理假
退学买莫纳什大学毕业证>【微信176555708】办理莫纳什大学毕业证成绩单【微信176555708】Monash毕业证成绩单Monash学历证书Monash文凭【Monash毕业套号文凭网认证莫纳什大学毕业证成绩单】【哪里买莫纳什大学毕业证文凭Monash成绩学校快递邮寄信封】【开版莫纳什大学文凭】Monash留信认证本科硕士学历认证1:1完美还原海外各大学毕业材料上的工艺：水印阴影底纹钢印LOGO烫金烫银LOGO烫金烫银复合重叠。文字图案浮雕激光镭射紫外荧光温感复印防伪。
可办理以下真实莫纳什大学存档留学生信息存档认证：
1莫纳什大学真实留信网认证（网上可查永久存档无风险百分百成功入库）；
2真实教育部认证（留服）等一切高仿或者真实可查认证服务（暂时不可办理）；
3购买英美真实学籍（不用正常就读直接出学历）；
4英美一年硕士保毕业证项目（保录取学校挂名不用正常就读保毕业）
留学本科/硕士毕业证书成绩单制作流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询莫纳什大学莫纳什大学毕业证offer）；
2开始安排制作莫纳什大学毕业证成绩单电子图；
3莫纳什大学毕业证成绩单电子版做好以后发送给您确认；
4莫纳什大学毕业证成绩单电子版您确认信息无误之后安排制作成品；
5莫纳什大学成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
— — — — — — — — — — — 《文凭顾问微信：176555708》
Internet of Things in Manufacturing: Revolutionizing Efficiency & Quality | C...
This article delves into how the Internet of Things in manufacturing is reshaping the industry, its benefits, challenges, and future prospects.
Discover the benefits of outsourcing SEO to India
"Discover the benefits of outsourcing SEO to India! From cost-effective services and expert professionals to round-the-clock work advantages, learn how your business can achieve digital success with Indian SEO solutions.
不能毕业如何获得(USYD毕业证)悉尼大学毕业证成绩单一比一原版制作
挂科购买☀【悉尼大学毕业证购买】【微信176555708】【USYD毕业证模板办理】加拿大文凭、本科、硕士、研究生学历都可以做,二、业务范围：
★、全套服务：毕业证、成绩单、化学专业毕业证书伪造【悉尼大学大学毕业证】微信176555708【USYD学位证书购买】◆◆◆◆◆ — — — 归国服务中心 — — -◆◆◆◆◆
【主营项目】
一.毕业证、成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
国外毕业证、学位证、成绩单办理流程：
1、客户提供办理信息：姓名、生日、专业、学位、毕业时间等（如信息不确定可以咨询顾问：【微信176555708】我们有专业老师帮你查询）；
2、开始安排制作毕业证、成绩单电子图；
3、毕业证、成绩单电子版做好以后发送给您确认；
4、毕业证、成绩单电子版您确认信息无误之后安排制作成品；
5、成品做好拍照或者视频给您确认；
6、快递给客户（国内顺丰，国外DHL、UPS等快读邮寄）。
专业服务，请勿犹豫联系我！本公司是留学创业和海归创业者们的桥梁。一次办理，终生受用，一步到位，高效服务。详情请在线咨询办理,欢迎有诚意办理的客户咨询!洽谈。
◆招聘代理：本公司诚聘英国、加拿大、澳洲、新西兰、加拿大、法国、德国、新加坡各地代理人员，如果你有业余时间，有兴趣就请联系我们咨询【微信176555708】
没文凭怎么找工作。让您回国发展信心十足！
★、真实教育部学历学位认证；（一对一专业服务，可全程监控跟踪进度）
★、真实使馆认证，可以通过大使馆查询确认；（即教育部留服认证，不成功不收费）
★、毕业证、成绩单等材料，从防伪到印刷、水印到钢印烫金，高精仿度都是跟学校原版100%相同的；（敬请放心使用）
★、可以提供钢印、水印、烫金、激光防伪、凹凸版、最新版的毕业证、百分之百让您绝对满意、
★、印刷，DHL快递毕业证、成绩单7个工作日，真实大使馆教育部认证1个月。为了达到高水准高效率。
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptx
Brad Spiegel Macon GA’s journey exemplifies the profound impact that one individual can have on their community. Through his unwavering dedication to digital inclusion, he’s not only bridging the gap in Macon but also setting an example for others to follow.
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024
Ellisha Heppner, Grant Management Lead, presented an update on APNIC Foundation to the PNG DNS Forum held from 6 to 10 May, 2024 in Port Moresby, Papua New Guinea.
Recently uploaded (20)
Understanding User Behavior with Google Analytics.pdf
Understanding User Behavior with Google Analytics.pdf
Internet of Things in Manufacturing: Revolutionizing Efficiency & Quality | C...
Internet of Things in Manufacturing: Revolutionizing Efficiency & Quality | C...
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptx
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptx
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024
Cognitive analytics 2016
- 1. Cognitive analytics: What’s coming in 2016? ibm.co/advancedanalytics
- 2. 1. Cognitive analytics will become inescapable in everyday life Cognitive analytics is transforming life and work in the 21st century. Key trends include the adoption of cognitively enriched intelligent machines such as mobile devices and Internet of Things (IoT) devices. The cognitive computing fabric will be interwoven into technology (e.g., social media) and touch our daily lives.
- 3. 2. Cognitive analytics will become the chief focus of innovation To drive business success, developers everywhere are building cognitive applications for every conceivable use, and data scientists with cognitive skills are at the heart of this fast-growing developer ecosystem.
- 4. 3. Cognitive analytics will begin to converge all big data Cognitive analytics is ingesting new types of information. The cognitive revolution runs on fresh feeds of an ever-growing pool of disparate data, including media streams, IoT sensor data and other nontraditional sources.
- 5. 4. Cognitive analytics will become the hottest specialty in data science A new generation of data scientists is coming of age. These data scientists are adept at cognitive application development in Apache Spark, Apache Hadoop, R and other open platforms and tools. And they are combining statistical modeling, subject matter domain knowledge and programming skills.
- 6. 5. Cognitive analytics will take root in global governance As cognitive applications drive more business processes and automate decisions, society is calling for highly comprehensive legal, regulatory and policy frameworks to manage compliance, risks and ramifications.
- 7. 6. Cognitive analytics will become the principal personalization tool Cognitive systems are becoming active, context-aware personalized interaction agents: the future of cognitive applications in our lives is pervasive personalization. Cognitive systems will increasingly understand the geospatial and temporal context of everything we do, and deliver responses that consistently fit for those contexts.
- 8. 7. Cognitive analytics will start to automate most data analysis Cognitive systems are adopting unsupervised learning to automate sensing and detection of deep patterns and nuances within complex data sets. Machine learning is enabling automated systems to understand new concepts on their own and train themselves to be experts.
- 9. 8. Cognitive analytics will drive further scaling in cloud data services Cognitive systems are scaling inexorably and indefinitely. As cognition-as-a- service offerings such as IBM Watson gain adoption, the scalability will expand in the volume, velocity and variety of data and algorithms being executed as well as the resource requirements.