Jen Q. Public: How analytics is impacting government, education and public sa...IBM Analytics
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!Ajeet Singh
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!
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.
The Impact of IoT on Cloud Computing, Big Data & AnalyticsSyam Madanapalli
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.
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.
With the computer revolution digital data has become available. With the Internet and smart connected product, the data is growing exponentially. With all this data, it becomes a platform for something new of its own. In this lecture, we look at what big data is and look at several examples of how to use data.
Jen Q. Public: How analytics is impacting government, education and public sa...IBM Analytics
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!Ajeet Singh
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!
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.
The Impact of IoT on Cloud Computing, Big Data & AnalyticsSyam Madanapalli
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.
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.
With the computer revolution digital data has become available. With the Internet and smart connected product, the data is growing exponentially. With all this data, it becomes a platform for something new of its own. In this lecture, we look at what big data is and look at several examples of how to use data.
3rd Wave of Computing - Ambient ComputingAjay Malik
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.
Mobile. The term is at the forefront of almost every discussion about technology trends, the future of computing, and Digital Government. So what is it and why should you care? In this educational and interactive session, Pete Eichorn, Director of Technology at Texas.gov will “cut to the chase” and discuss the latest trends in mobility and their potential impact on you and your agency. In this presentation, Pete will cover the importance of mobile and explore its power; demystify the latest trends in mobile technology; and get you started on the path to mobile Zen.
How To Improve IoT Applications with Data Analytics Rock Interview
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.
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
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.
Information technology is a powerful enabler to accelerate the pace of discovery and development in the pursuit of bringing new therapies to patients. This presentation illustrates one such opportunity to accelerate data analytics – saving time and money.
Customer Success-driven Initial Traction for Startups - 2016 San Pedro Valley...Lincoln Murphy
On November 10, 2016, in Belo Horizonte, Brazil, at the 2016 San Pedro Valley Summit, Lincoln Murphy gave a keynote presentation on Customer Success-driven Initial Traction for Startups.
Using the true definition of Customer Success as the backdrop for initial traction for very early-stage Startups is something few people talk about. But this presentation showed exactly why you should do this and how to make it work.
3rd Wave of Computing - Ambient ComputingAjay Malik
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.
Mobile. The term is at the forefront of almost every discussion about technology trends, the future of computing, and Digital Government. So what is it and why should you care? In this educational and interactive session, Pete Eichorn, Director of Technology at Texas.gov will “cut to the chase” and discuss the latest trends in mobility and their potential impact on you and your agency. In this presentation, Pete will cover the importance of mobile and explore its power; demystify the latest trends in mobile technology; and get you started on the path to mobile Zen.
How To Improve IoT Applications with Data Analytics Rock Interview
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.
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
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.
Information technology is a powerful enabler to accelerate the pace of discovery and development in the pursuit of bringing new therapies to patients. This presentation illustrates one such opportunity to accelerate data analytics – saving time and money.
Customer Success-driven Initial Traction for Startups - 2016 San Pedro Valley...Lincoln Murphy
On November 10, 2016, in Belo Horizonte, Brazil, at the 2016 San Pedro Valley Summit, Lincoln Murphy gave a keynote presentation on Customer Success-driven Initial Traction for Startups.
Using the true definition of Customer Success as the backdrop for initial traction for very early-stage Startups is something few people talk about. But this presentation showed exactly why you should do this and how to make it work.
On November 2, 2016, Lincoln Murphy gave this keynote presentation on Customer Success-driven Growth and then, along with Resultados Digitais CEO Eric Santos - performed a Q&A for the developing SaaS ecosystem of entrepreneurs, operators, and investors.
Caserta Concepts, Datameer and Microsoft shared their combined knowledge and a use case on big data, the cloud and deep analytics. Attendes learned how a global leader in the test, measurement and control systems market reduced their big data implementations from 18 months to just a few.
Speakers shared how to provide a business user-friendly, self-service environment for data discovery and analytics, and focus on how to extend and optimize Hadoop based analytics, highlighting the advantages and practical applications of deploying on the cloud for enhanced performance, scalability and lower TCO.
Agenda included:
- Pizza and Networking
- Joe Caserta, President, Caserta Concepts - Why are we here?
- Nikhil Kumar, Sr. Solutions Engineer, Datameer - Solution use cases and technical demonstration
- Stefan Groschupf, CEO & Chairman, Datameer - The evolving Hadoop-based analytics trends and the role of cloud computing
- James Serra, Data Platform Solution Architect, Microsoft, Benefits of the Azure Cloud Service
- Q&A, Networking
For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/
A survey created by InsurtechNews in collaboration with InsurTech 2016 Singapore, involving over 120 respondents. Based on the answers collected, the most relevant area of Insurtech is Connected Insurance and this is not surprising at all. According to a preliminary release of a study jointly developed by Venture Scanner together with the Connected Insurance Observatory, connected insurance initiatives represent 30% of start-ups but have gathered an astonishing 80% of insurtech funding. Online purchases continue to be deemed as very relevant although such promise is everything but new and has yet to materialize. Things may change though if the new purchase innovation is push sales...
Unsurprisingly, respondents also indicated that insufficient knowledge and understanding of the insurance market is the most important challenge for InsurTech start-ups and creates an imperative for collaboration between incumbents and start-ups. The second barrier is the incapacity to engage and partner with incumbents. This point confirms the importance of all open innovation initiatives of the last few months: from hackathons to co-creation labs, from incubators to accelerators. They are all fundamental to allow start-ups to access incumbents and vice-versa.
Embedded subscriber database analytics help operators improve internal efficiency and monetize data assets, while exploring new cross-vertical Internet of Things (IoT) applications.
Beyond AI The Rise of Cognitive Computing as Future of Computing ChatGPT Anal...ijtsrd
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
The advent of artificial super intelligence and its impactsFernando Alcoforado
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.
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.
Principles of Artificial Intelligence & Machine LearningJerry Lu
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!
Top And Best Digital Marketing Agency With AIamdigitalmark15
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Five Converging Forces that Are Driving Technological EvolutionCognizant
The digital era is catalyzing business, unleashing technological change that may appear chaotic on the surface but is resulting in massively powerful systems of intelligence that enable humans and machines to collaborate securely.
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
This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
Discover the power of a simple 7-second brain wave ritual that can attract wealth and abundance into your life. By tapping into specific brain frequencies, this technique helps you manifest financial success effortlessly. Ready to transform your financial future? Try this powerful ritual and start attracting money today!
# Internet Security: Safeguarding Your Digital World
In the contemporary digital age, the internet is a cornerstone of our daily lives. It connects us to vast amounts of information, provides platforms for communication, enables commerce, and offers endless entertainment. However, with these conveniences come significant security challenges. Internet security is essential to protect our digital identities, sensitive data, and overall online experience. This comprehensive guide explores the multifaceted world of internet security, providing insights into its importance, common threats, and effective strategies to safeguard your digital world.
## Understanding Internet Security
Internet security encompasses the measures and protocols used to protect information, devices, and networks from unauthorized access, attacks, and damage. It involves a wide range of practices designed to safeguard data confidentiality, integrity, and availability. Effective internet security is crucial for individuals, businesses, and governments alike, as cyber threats continue to evolve in complexity and scale.
### Key Components of Internet Security
1. **Confidentiality**: Ensuring that information is accessible only to those authorized to access it.
2. **Integrity**: Protecting information from being altered or tampered with by unauthorized parties.
3. **Availability**: Ensuring that authorized users have reliable access to information and resources when needed.
## Common Internet Security Threats
Cyber threats are numerous and constantly evolving. Understanding these threats is the first step in protecting against them. Some of the most common internet security threats include:
### Malware
Malware, or malicious software, is designed to harm, exploit, or otherwise compromise a device, network, or service. Common types of malware include:
- **Viruses**: Programs that attach themselves to legitimate software and replicate, spreading to other programs and files.
- **Worms**: Standalone malware that replicates itself to spread to other computers.
- **Trojan Horses**: Malicious software disguised as legitimate software.
- **Ransomware**: Malware that encrypts a user's files and demands a ransom for the decryption key.
- **Spyware**: Software that secretly monitors and collects user information.
### Phishing
Phishing is a social engineering attack that aims to steal sensitive information such as usernames, passwords, and credit card details. Attackers often masquerade as trusted entities in email or other communication channels, tricking victims into providing their information.
### Man-in-the-Middle (MitM) Attacks
MitM attacks occur when an attacker intercepts and potentially alters communication between two parties without their knowledge. This can lead to the unauthorized acquisition of sensitive information.
### Denial-of-Service (DoS) and Distributed Denial-of-Service (DDoS) Attacks
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptxBrad Spiegel Macon GA
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.
Multi-cluster Kubernetes Networking- Patterns, Projects and GuidelinesSanjeev Rampal
Talk presented at Kubernetes Community Day, New York, May 2024.
Technical summary of Multi-Cluster Kubernetes Networking architectures with focus on 4 key topics.
1) Key patterns for Multi-cluster architectures
2) Architectural comparison of several OSS/ CNCF projects to address these patterns
3) Evolution trends for the APIs of these projects
4) Some design recommendations & guidelines for adopting/ deploying these solutions.
1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024APNIC
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.
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.