Outlook on Hot Technologies

•

1 like•563 views

1) The document discusses emerging technologies including artificial intelligence, blockchain, quantum computing, cloud computing, mobility, big data, the Internet of Things, and security. 2) It notes that these technologies are driving a digital transformation and the creation of a data economy where machines, bots, decentralized autonomous organizations, and decentralized applications will perform most creating, consuming, and payment activities. 3) The technologies are also transforming how data is generated from devices and things, governed, stored, analyzed, and used for both data products and applications.

Technology

(The annual)
Outlook on Hot Technologies
Shahin Khan

When things change, they’re not the same any more
©2018 OrionX.net 2

Revolution
©2018 OrionX.net 3
Industrial InformationAgricultural
Agricultural Manufacturing
Mechanized Ag
Service
Digital Mfg
Digital Farming
RevolutionEconomy
Social / Economic Model
Hunting à Farming
Planning
Family structure
Governance
Social / Economic Model
Rural à Cities
Automation - action
Climate
Jobs
Money
Social / Economic Model
Regional à Global
Automation - decision
Awareness
Mistrust
Accelerated Change
Problems

Data
Extraction
–
Digitization
Processing
–
IT Systems
Interpretation
–
HPC
©2018 OrionX.net 4

Sources of data
5
Organizations
Systems
Things
People
Data
Extracting
Information
Content
Apps

Big rules of big
data
1. Data is cheaper to keep than to delete. Multiple copies, in fact.
2. Whatever caused you to collect data will cause you to collect a lot more data.
3. Big Data systems start small, show promise, go big.
4. Data must flow to be valuable. Just how valuable is a function of context.
5. Never assume that you know what is cause and what is effect.
6. The ratio of relevant data to irrelevant data will asymptotically approach zero.
7. The ultimate purpose of analysis is synthesis.
8. Time = Money = Data. There is always a context in which a piece of data is
valuable.
9. Volume-Velocity-Variety-Value, meet Irreproducible-Irrelevant-Incomplete-Incorrect.
10. Given enough data, you can simultaneously "prove" opposites.
11. Most conclusions will be either uninteresting or invalid. Big Data starts with
interesting-but-useless and graduates to valid-and-useful.
12. Big Data and HPC converge as data volume grows.
©2018 OrionX.net 6

If you’re not feeling discomfort,
you’re not out of your comfort zone
©2018 OrionX.net 8

Cloud MobilityBig DataAI IoTBlockchain
Security
•••
Security
New World Order: Digital Transformation (DX)
It’s complex
©2018 OrionX.net 9

The FUTURE is
IoT Blockchain Quantum AI
where Machines/Bots/DAOs/Dapps
do most of the
Creating-Consuming-Paying
©2018 OrionX.net 10

Data Economy
IoT
©2018 OrionX.net 11
Atoms (Things)
Bits (Information)
Data Economy
Data Sources
GovernanceApplicationsDataDevices
Data Supply Data Product
Data
Consumption
(à Market)
Security

The Engine of the Information Age
HPC
©2018 OrionX.net 12
Experiment
Theory
SimulationInstrumentation
Automation
Visualization
New
Way
New
Data
Communication
New
Idea
Digitization Data
STEM
IT
HPC

Intelligence is Computable
AI =
High
Performance AI
©2018 OrionX.net 13
Artificial Intelligence
Search
Logical
Expert SystemStatistical
Numerical
Optimization
Big Data
Simulation / HPC Automation / IoTCloud
Big Rules of
Big Data
AI

Blockchain is like
watching an Ingmar Bergman movie:
You know it’s important but you don’t get it
©2018 OrionX.net 14

Trust is computable
Blockchain =
Decentralized
trust
©2018 OrionX.net 15
Natural Scale Distributed
Need
Traceability
Rights Mgmt
BlockchainParticipation
Consensus Algorithms
Layer-2 Technologies
Token: Equity, Utility
Smart Contracts
DecentralizedCentralized
Traditional model
Tokenless

1. Probability functions made controllable
2. Yes, too early
3. Hot, and will remain hot for the next decade
4. Used as an accelerator
5. Is it QC à What can it do?
6. Quantum supremacy, Y2Q, Quantum-safe Cryptography
©2018 OrionX.net 16
Quantum Computing

Change is best when it's your own idea
©2018 OrionX.net 17

Dealing with change
©2018 OrionX.net 18
Celebrate
Appreciate Recalibrate
Reinvent
Desirable Undesirable
ExpectedUnexpected
Good
Great Bad
Awful
Desirable Undesirable
ExpectedUnexpected

What's hot

Intersect360 Top of All Things in HPC Snapshot Analysis

inside-BigData.com

"This talk will discuss why it is important to measure High Performance Computing, and how to do so. The talk covers measuring performance, both technical (e.g., benchmarks) and non-technical (e.g., utilization); measuring the cost of HPC, from the simple beginnings to the complexity of Total Cost of Ownership (TCO) and beyond; and finally, the daunting world of measuring value, including the dreaded Return on Investment (ROI) and other metrics. The talk is based on NAG HPC consulting experiences with a range of industry HPC users and others. This is not a sales talk, nor a highly technical talk. It should be readily understood by anyone involved in using or managing HPC technology." Watch the video presentation: http://wp.me/p3RLHQ-fJm Learn more: http://nag.com and http://hpcuserforum.com Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Measuring HPC: Performance, Cost, & Value

inside-BigData.com

Lean Technologies Infographic/Trendgram

EarthLink Business

Internet-of-Things discussions can end up either going down the consumer gadget rabbit hole or focused on the sort of data logging that industrial manufacturers have been doing forever. However, in fact, companies today are already using IoT data both to optimize their operational technology and to improve the experience of customer interactions in novel ways. In this session, Red Hat Technology Evangelist Gordon Haff will share examples from a wide range of industries--including energy, transportation, and retail--of using IoT to create new business opportunities and improve efficiency. We’ll also discuss strategies for protecting data as it flows through a distributed IoT solution from endpoints that are often difficult to reliably secure. This includes practices for using IoT gateways, maintaining secure communications, and determining appropriate policies for different types of data.

The Interesting IoT: Digitizing Operations

Gordon Haff

Explosive growth of Smart Meter (SM) deployments has presented key infrastructure challenges across the utility industry. The huge volumes of smart meter data has led the industry to a tipping point which requires investments in modernizing existing data warehouses. Typical modernization efforts lead to huge capital expenditures for DW appliances and storage. Sizing this new infrastructure is tricky and can lead to underutilized or poorly performing hardware. The Cloud is the catalyst to solving these Big Data challenges. Utilizing a Cloud architecture delivers huge benefits by: Maximizing use of existing architecture Minimizing new CapEx expenditures Lowering overall storage costs Enabling scale on demand

Supercharging Smart Meter BIG DATA Analytics with Microsoft Azure Cloud- SRP ...

Mike Rossi

“Without data, you’re just another person with an opinion.” W. Edwards Deming was talking about statistical quality control in manufacturing but he could equally have been referring to managing modern iterative and automated software deployment pipelines and cloud-native infrastructure. Certainly there's a wealth of open source tools to capture and visualize data. However, a data strategy isn’t solely or even mostly about drawing up a long list of technical measurements and instrumenting software to capture everything. It's crucial to distinguish between metrics that relate software initiatives to positive business outcomes, the alerts needed to respond to problems now, and the data required for root cause analysis or to optimize processes over time. All data is not equal. And most data is not a metric for measuring success.

That's not a metric! Data for cloud-native success

Gordon Haff

Check out this white paper from eInfochips which showcases how energy and utility providers can unlock potential service opportunities using our predictive analytics solution across all stages of the business cycle. Major utility players are set to roll out millions of smart meters with the aim of generating actionable insights even though as per the industry’s own admission, any serious effort toward monetization is being offset by a lack of core IT capabilities, especially in big data technology. Capturing proactive intelligence on consumer behavior is the way to go. In this white paper, eInfochips demonstrates how utility players can predict demand response, generation response and create new revenue models around coincidental peak demands, smart expenditure modeling and other forms of end user data.

Whitepaper - Transforming the Energy & Utilities Industry with Smart Analytics

eInfochips (An Arrow Company)

Historically, insurers used 50-, 100-, and 500-year flood models for risk evaluation and pricing. The extreme weather events we have experienced in 2017 alone prove how dated these methods really are. To better understand their customers and potential current/future liability claims, forward thinking insurers are monitoring, analyzing, and integrating external data sources in real time (weather feeds from USGS.gov, news and stock feeds, and satellite imagery, to name just a few). By integrating and injecting these new data sources into their risk models and underwriting, insurers are better able to identify their risk appetites and effectively price. The session will include real-world case studies, including how a global P&C insurer is now quickly analyzing and monitoring 50,000 customers and targets, gaining new insights into the market. Another example is a global reinsurance and specialty company that now leverages digital news channels to monitor its risk portfolio for early warning claims indicators to help drive down loss costs. Speaker Cindy Maike, VP Industry Solutions, GM of Insurance, Hortonworks

Risk listening: monitoring for profitable growth

DataWorks Summit

Why Learn Hadoop & Big Data Technology in 2019 ?

Janbaskjdd

Summary of the 2018 22nd Annual 3PL Study

Infosys Consulting

Data-Driven Innovation & Competitive Advantage

Martin De Saulles

Eligotech presents @ Data Donderdag on 24 April 2014

Paul Broekhoven

Industrial Internet

DataWorks Summit/Hadoop Summit

Big Data Analytics Ecosystem WW IDC

Miguel Garcia

Asterix Solution’s Hadoop Training is designed to help applications scale up from single servers to thousands of machines. With the rate at which memory cost decreased the processing speed of data never increased and hence loading the large set of data is still a big headache and here comes Hadoop as the solution for it. http://www.asterixsolution.com/big-data-hadoop-training-in-mumbai.html Duration - 25 hrs Session - 2 per week Live Case Studies - 6 Students - 16 per batch Venue - Thane

Hadoop Training

faizrashid1995

CASE 1 : Big Data Big Reward

Aya Wan Idris

Lars Lyberg, Inizio: Rapport från konferensen BigSurv18

Alf Fyhrlund

Big Data LDN 2017: Real World Impact of a Global Data Fabric

Matt Stubbs

using big-data methods analyse the Cross platform aviation

ranjit banshpal

What's hot (19)

Intersect360 Top of All Things in HPC Snapshot Analysis

Measuring HPC: Performance, Cost, & Value

Lean Technologies Infographic/Trendgram

The Interesting IoT: Digitizing Operations

Supercharging Smart Meter BIG DATA Analytics with Microsoft Azure Cloud- SRP ...

That's not a metric! Data for cloud-native success

Whitepaper - Transforming the Energy & Utilities Industry with Smart Analytics

Risk listening: monitoring for profitable growth

Why Learn Hadoop & Big Data Technology in 2019 ?

Summary of the 2018 22nd Annual 3PL Study

Data-Driven Innovation & Competitive Advantage

Eligotech presents @ Data Donderdag on 24 April 2014

Industrial Internet

Big Data Analytics Ecosystem WW IDC

Hadoop Training

CASE 1 : Big Data Big Reward

Lars Lyberg, Inizio: Rapport från konferensen BigSurv18

Big Data LDN 2017: Real World Impact of a Global Data Fabric

using big-data methods analyse the Cross platform aviation

Similar to Outlook on Hot Technologies

Information revolution is changing everything. Here is a snapshot of some critical technologies that are changing the world: IoT, Blockchain, Quantum Computing, AI, Cybersecurity, 5G,... resting on a foundation of Mobility, Cloud, and HPC. This talk has evolved since 2011. Most recently, it was presented at the HPC-AI Advisory Council conference held at Stanford University in Feb-2018. A video of the talk is available on InsideHPC.com. Contact OrionX.net if you'd like to request a speaker.

Critical Technologies of the Future

Shahin Khan

What is AI without Data?

InnoTech

Big Data, Trends,opportunities and some case studies( Mahmoud Khosravi)

Mahmood Khosravi

What's the future for data orchestration

IIHEvents

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!

Top 6 Upcoming Big Data Trends of 2018!

Ajeet Singh

“Imagine, you could drive your new, fancy car, and the mechanic looks after everything else, including refuelling, repairs, and maintenance.” With our smooth and timely full-service handling of databases, operating systems, and network configurations we ensure that you can enjoy the advantages of HPE Vertica for your business at any time. Talk to our experts and learn about our simple way into big data. Simply start.

The full service mechanic for your big data project

Neos IT Services GmbH

OpenText keynote -- Enterprise World 2018

John Mancini

The mountain of Big Data is growing, presenting immense opportunities for businesses ready to summit its peak, but the journey requires careful preparation. Integra helps businesses equip their network infrastructure to handle big requirements for Big Data—with fully-symmetrical Ethernet solutions designed to deliver low-latency, high-bandwidth connectivity between organizational peers, the cloud, and the servers where your data is stored. Our infographic, "Summiting the Mountain of Big Data" will help you understand how big "Big Data" really is; who's producing, consuming, managing and storing all that data; the business advantages you can capture by tapping into its power; and how you can prepare your organization to meet its demands—resulting in Big Gains from Big Data.

Summiting the Mountain of Big Data

Integra

Top 10 technologies trending in 2019

Janu Jahnavi

How to design ai functions to the cloud native infra

Chun Myung Kyu

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.

Big Data Expo 2015 - IBM 5 predictions

BigDataExpo

Smart Data Module 6 d drive the future

caniceconsulting

Digital Velocity London - What's The Future for Data Orchestration, Tealium D...

Tealium

Future of IT

Narayana Rao Kandregula

Big data Analytics

Guduru Lakshmi Kiranmai

1.Introduction 2.Overview 3.Why Big Data 4.Application of Big Data 5.Risks of Big Data 6.Benefits & Impact of Big Data 7.Conclusion ‘Big Data’ is similar to ‘small data’, but bigger in size But having data bigger it requires different approaches: Techniques, tools and architecture An aim to solve new problems or old problems in a better way Big Data generates value from the storage and processing of very large quantities of digital information that cannot be analyzed with traditional computing techniques.

BIG DATA & DATA ANALYTICS

NAGARAJAGIDDE

Business with Big data

Bruno Curtarelli

As pressure for digital transformation increases, companies must harness big data more effectively. But the well-known V’s of data—volume, variety, velocity—represent both opportunities and challenges. Data enrichment enables organizations to take full advantage of the benefits while addressing these typical problems. In this session, we look at what an enrichment workflow might look like and how it enhances data’s value across different use cases.

-Enrichment - Unlocking the value of data for digital transformation - Big Da...

webwinkelvakdag

Keeping pace with technology and big data.pdf

Claire D'Costa

Designing the Next Generation Data Lake

Robert Chong

Similar to Outlook on Hot Technologies (20)

Critical Technologies of the Future

What is AI without Data?

Big Data, Trends,opportunities and some case studies( Mahmoud Khosravi)

What's the future for data orchestration

Top 6 Upcoming Big Data Trends of 2018!

The full service mechanic for your big data project

OpenText keynote -- Enterprise World 2018

Summiting the Mountain of Big Data

Top 10 technologies trending in 2019

How to design ai functions to the cloud native infra

Big Data Expo 2015 - IBM 5 predictions

Smart Data Module 6 d drive the future

Digital Velocity London - What's The Future for Data Orchestration, Tealium D...

Future of IT

Big data Analytics

BIG DATA & DATA ANALYTICS

Business with Big data

-Enrichment - Unlocking the value of data for digital transformation - Big Da...

Keeping pace with technology and big data.pdf

Designing the Next Generation Data Lake

More from inside-BigData.com

In this deck from the Stanford HPC Conference, Shahin Khan from OrionX describes major market Shifts in IT. "We will discuss the digital infrastructure of the future enterprise and the state of these trends." "We work with clients on the impact of Digital Transformation (DX) on them, their customers, and their messages. Generally, they want to track, in one place, trends like IoT, 5G, AI, Blockchain, and Quantum Computing. And they want to know what these trends mean, how they affect each other, and when they demand action, and how to formulate and execute an effective plan. If that describes you, we can help." Watch the video: https://wp.me/p3RLHQ-lPP Learn more: http://orionx.net and http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Major Market Shifts in IT

inside-BigData.com

In this deck from IWOCL / SYCLcon 2020, Hal Finkel from Argonne National Laboratory presents: Preparing to program Aurora at Exascale - Early experiences and future directions. "Argonne National Laboratory’s Leadership Computing Facility will be home to Aurora, our first exascale supercomputer. Aurora promises to take scientific computing to a whole new level, and scientists and engineers from many different fields will take advantage of Aurora’s unprecedented computational capabilities to push the boundaries of human knowledge. In addition, Aurora’s support for advanced machine-learning and big-data computations will enable scientific workflows incorporating these techniques along with traditional HPC algorithms. Programming the state-of-the-art hardware in Aurora will be accomplished using state-of-the-art programming models. Some of these models, such as OpenMP, are long-established in the HPC ecosystem. Other models, such as Intel’s oneAPI, based on SYCL, are relatively-new models constructed with the benefit of significant experience. Many applications will not use these models directly, but rather, will use C++ abstraction libraries such as Kokkos or RAJA. Python will also be a common entry point to high-performance capabilities. As we look toward the future, features in the C++ standard itself will become increasingly relevant for accessing the extreme parallelism of exascale platforms. This presentation will summarize the experiences of our team as we prepare for Aurora, exploring how to port applications to Aurora’s architecture and programming models, and distilling the challenges and best practices we’ve developed to date. oneAPI/SYCL and OpenMP are both critical models in these efforts, and while the ecosystem for Aurora has yet to mature, we’ve already had a great deal of success. Importantly, we are not passive recipients of programming models developed by others. Our team works not only with vendor-provided compilers and tools, but also develops improved open-source LLVM-based technologies that feed both open-source and vendor-provided capabilities. In addition, we actively participate in the standardization of OpenMP, SYCL, and C++. To conclude, I’ll share our thoughts on how these models can best develop in the future to support exascale-class systems." Watch the video: https://wp.me/p3RLHQ-lPT Learn more: https://www.iwocl.org/iwocl-2020/conference-program/ and https://www.anl.gov/topic/aurora Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Preparing to program Aurora at Exascale - Early experiences and future direct...

inside-BigData.com

In this deck, Greg Wahl from Advantech presents: Transforming Private 5G Networks. Advantech Networks & Communications Group is driving innovation in next-generation network solutions with their High Performance Servers. We provide business critical hardware to the world's leading telecom and networking equipment manufacturers with both standard and customized products. Our High Performance Servers are highly configurable platforms designed to balance the best in x86 server-class processing performance with maximum I/O and offload density. The systems are cost effective, highly available and optimized to meet next generation networking and media processing needs. “Advantech’s Networks and Communication Group has been both an innovator and trusted enabling partner in the telecommunications and network security markets for over a decade, designing and manufacturing products for OEMs that accelerate their network platform evolution and time to market.” Said Advantech Vice President of Networks & Communications Group, Ween Niu. “In the new IP Infrastructure era, we will be expanding our expertise in Software Defined Networking (SDN) and Network Function Virtualization (NFV), two of the essential conduits to 5G infrastructure agility making networks easier to install, secure, automate and manage in a cloud-based infrastructure.” In addition to innovation in air interface technologies and architecture extensions, 5G will also need a new generation of network computing platforms to run the emerging software defined infrastructure, one that provides greater topology flexibility, essential to deliver on the promises of high availability, high coverage, low latency and high bandwidth connections. This will open up new parallel industry opportunities through dedicated 5G network slices reserved for specific industries dedicated to video traffic, augmented reality, IoT, connected cars etc. 5G unlocks many new doors and one of the keys to its enablement lies in the elasticity and flexibility of the underlying infrastructure. Advantech’s corporate vision is to enable an intelligent planet. The company is a global leader in the fields of IoT intelligent systems and embedded platforms. To embrace the trends of IoT, big data, and artificial intelligence, Advantech promotes IoT hardware and software solutions with the Edge Intelligence WISE-PaaS core to assist business partners and clients in connecting their industrial chains. Advantech is also working with business partners to co-create business ecosystems that accelerate the goal of industrial intelligence." Watch the video: https://wp.me/p3RLHQ-lPQ * Company website: https://www.advantech.com/ * Solution page: https://www2.advantech.com/nc/newsletter/NCG/SKY/benefits.html Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Transforming Private 5G Networks

inside-BigData.com

In this deck from the Stanford HPC Conference, Katie Lewis from Lawrence Livermore National Laboratory presents: The Incorporation of Machine Learning into Scientific Simulations at Lawrence Livermore National Laboratory. "Scientific simulations have driven computing at Lawrence Livermore National Laboratory (LLNL) for decades. During that time, we have seen significant changes in hardware, tools, and algorithms. Today, data science, including machine learning, is one of the fastest growing areas of computing, and LLNL is investing in hardware, applications, and algorithms in this space. While the use of simulations to focus and understand experiments is well accepted in our community, machine learning brings new challenges that need to be addressed. I will explore applications for machine learning in scientific simulations that are showing promising results and further investigation that is needed to better understand its usefulness." Watch the video: https://youtu.be/NVwmvCWpZ6Y Learn more: https://computing.llnl.gov/research-area/machine-learning and http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

The Incorporation of Machine Learning into Scientific Simulations at Lawrence...

inside-BigData.com

In this deck from the Stanford HPC Conference, DK Panda from Ohio State University presents: How to Achieve High-Performance, Scalable and Distributed DNN Training on Modern HPC Systems? "This talk will start with an overview of challenges being faced by the AI community to achieve high-performance, scalable and distributed DNN training on Modern HPC systems with both scale-up and scale-out strategies. After that, the talk will focus on a range of solutions being carried out in my group to address these challenges. The solutions will include: 1) MPI-driven Deep Learning, 2) Co-designing Deep Learning Stacks with High-Performance MPI, 3) Out-of- core DNN training, and 4) Hybrid (Data and Model) parallelism. Case studies to accelerate DNN training with popular frameworks like TensorFlow, PyTorch, MXNet and Caffe on modern HPC systems will be presented." Watch the video: https://youtu.be/LeUNoKZVuwQ Learn more: http://web.cse.ohio-state.edu/~panda.2/ and http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

How to Achieve High-Performance, Scalable and Distributed DNN Training on Mod...

inside-BigData.com

In this deck from the Stanford HPC Conference, Nick Nystrom and Paola Buitrago provide an update from the Pittsburgh Supercomputing Center. Nick Nystrom is Chief Scientist at the Pittsburgh Supercomputing Center (PSC). Nick is architect and PI for Bridges, PSC's flagship system that successfully pioneered the convergence of HPC, AI, and Big Data. He is also PI for the NIH Human Biomolecular Atlas Program’s HIVE Infrastructure Component and co-PI for projects that bring emerging AI technologies to research (Open Compass), apply machine learning to biomedical data for breast and lung cancer (Big Data for Better Health), and identify causal relationships in biomedical big data (the Center for Causal Discovery, an NIH Big Data to Knowledge Center of Excellence). His current research interests include hardware and software architecture, applications of machine learning to multimodal data (particularly for the life sciences) and to enhance simulation, and graph analytics. Watch the video: https://youtu.be/LWEU1L1o7yY Learn more: https://www.psc.edu/ and http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze ...

inside-BigData.com

In this deck from the Stanford HPC Conference, Ryan Quick from Providentia Worldwide describes how DNNs can be used to improve EDA simulation runs. "Systems Intelligence relies on a variety of methods for providing insight into the core mechanisms for driving automated behavioral changes in self-healing command and control platforms. This talk reports on initial efforts with leveraging Semiconductor Electronic Design Automation (EDA) telemetry data from cross-domain sources including power, network, storage, nodes, and applications in neural networks as a driving method for insight into SI automation systems." Watch the video: https://youtu.be/2WbR8tq-XbM Learn more: http://www.providentiaworldwide.com/ and http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

HPC Impact: EDA Telemetry Neural Networks

inside-BigData.com

In this deck from the Stanford HPC Conference, Nicole Xu from Stanford University describes how she transformed a common jellyfish into a bionic creature that is part animal and part machine. "Animal locomotion and bioinspiration have the potential to expand the performance capabilities of robots, but current implementations are limited. Mechanical soft robots leverage engineered materials and are highly controllable, but these biomimetic robots consume more power than corresponding animal counterparts. Biological soft robots from a bottom-up approach offer advantages such as speed and controllability but are limited to survival in cell media. Instead, biohybrid robots that comprise live animals and self- contained microelectronic systems leverage the animals’ own metabolism to reduce power constraints and body as an natural scaffold with damage tolerance. We demonstrate that by integrating onboard microelectronics into live jellyfish, we can enhance propulsion up to threefold, using only 10 mW of external power input to the microelectronics and at only a twofold increase in cost of transport to the animal. This robotic system uses 10 to 1000 times less external power per mass than existing swimming robots in literature and can be used in future applications for ocean monitoring to track environmental changes." Watch the video: https://youtu.be/HrmJFyvInj8 Learn more: https://sanfrancisco.cbslocal.com/2020/02/05/stanford-research-project-common-jellyfish-bionic-sea-creatures/ and http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Biohybrid Robotic Jellyfish for Future Applications in Ocean Monitoring

inside-BigData.com

In this deck from the Stanford HPC Conference, Peter Dueben from the European Centre for Medium-Range Weather Forecasts (ECMWF) presents: Machine Learning for Weather Forecasts. "I will present recent studies that use deep learning to learn the equations of motion of the atmosphere, to emulate model components of weather forecast models and to enhance usability of weather forecasts. I will than talk about the main challenges for the application of deep learning in cutting-edge weather forecasts and suggest approaches to improve usability in the future." Peter is contributing to the development and optimization of weather and climate models for modern supercomputers. He is focusing on a better understanding of model error and model uncertainty, on the use of reduced numerical precision that is optimised for a given level of model error, on global cloud- resolving simulations with ECMWF's forecast model, and the use of machine learning, and in particular deep learning, to improve the workflow and predictions. Peter has graduated in Physics and wrote his PhD thesis at the Max Planck Institute for Meteorology in Germany. He worked as Postdoc with Tim Palmer at the University of Oxford and has taken up a position as University Research Fellow of the Royal Society at the European Centre for Medium-Range Weather Forecasts (ECMWF) in 2017. Watch the video: https://youtu.be/ks3fkRj8Iqc Learn more: https://www.ecmwf.int/ and http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Machine Learning for Weather Forecasts

inside-BigData.com

In this deck, Gilad Shainer from the HPC AI Advisory Council describes how this organization fosters innovation in the high performance computing community. "The HPC-AI Advisory Council’s mission is to bridge the gap between high-performance computing (HPC) and Artificial Intelligence (AI) use and its potential, bring the beneficial capabilities of HPC and AI to new users for better research, education, innovation and product manufacturing, bring users the expertise needed to operate HPC and AI systems, provide application designers with the tools needed to enable parallel computing, and to strengthen the qualification and integration of HPC and AI system products." Watch the video: https://wp.me/p3RLHQ-lNz Learn more: http://hpcadvisorycouncil.com Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

HPC AI Advisory Council Update

inside-BigData.com

Today RIKEN in Japan announced that the Fugaku supercomputer will be made available for research projects aimed to combat COVID-19. "Fugaku is currently being installed and is scheduled to be available to the public in 2021. However, faced with the devastating disaster unfolding before our eyes, RIKEN and MEXT decided to make a portion of the computational resources of Fugaku available for COVID-19-related projects ahead of schedule while continuing the installation process. Fugaku is being developed not only for the progress in science, but also to help build the society dubbed as the “Society 5.0” by the Japanese government, where all people will live safe and comfortable lives. The current initiative to fight against the novel coronavirus is driven by the philosophy behind the development of Fugaku." Initial Projects Exploring new drug candidates for COVID-19 by "Fugaku" Yasushi Okuno, RIKEN / Kyoto University Prediction of conformational dynamics of proteins on the surface of SARS-Cov-2 using Fugaku Yuji Sugita, RIKEN Simulation analysis of pandemic phenomena Nobuyasu Ito, RIKEN Fragment molecular orbital calculations for COVID-19 proteins Yuji Mochizuki, Rikkyo University

Fugaku Supercomputer joins fight against COVID-19

inside-BigData.com

In this deck from the Performance Optimisation and Productivity group, Lubomir Riha from IT4Innovations presents: Energy Efficient Computing using Dynamic Tuning. "We now live in a world of power-constrained architectures and systems and power consumption represents a significant cost factor in the overall HPC system economy. For these reasons, in recent years researchers, supercomputing centers and major vendors have developed new tools and methodologies to measure and optimize the energy consumption of large-scale high performance system installations. Due to the link between energy consumption, power consumption and execution time of an application executed by the final user, it is important for these tools and the methodology used to consider all these aspects, empowering the final user and the system administrator with the capability of finding the best configuration given different high level objectives. This webinar focused on tools designed to improve the energy-efficiency of HPC applications using a methodology of dynamic tuning of HPC applications, developed under the H2020 READEX project. The READEX methodology has been designed for exploiting the dynamic behaviour of software. At design time, different runtime situations (RTS) are detected and optimized system configurations are determined. RTSs with the same configuration are grouped into scenarios, forming the tuning model. At runtime, the tuning model is used to switch system configurations dynamically. The MERIC tool, that implements the READEX methodology, is presented. It supports manual or binary instrumentation of the analysed applications to simplify the analysis. This instrumentation is used to identify and annotate the significant regions in the HPC application. Automatic binary instrumentation annotates regions with significant runtime. Manual instrumentation, which can be combined with automatic, allows code developer to annotate regions of particular interest." Watch the video: https://wp.me/p3RLHQ-lJP Learn more: https://pop-coe.eu/blog/14th-pop-webinar-energy-efficient-computing-using-dynamic-tuning and https://code.it4i.cz/vys0053/meric Sign up for our insideHPC Newsletter: http://insidehpc.com/newslett

Energy Efficient Computing using Dynamic Tuning

inside-BigData.com

In this deck from GTC Digital, William Beaudin from DDN presents: HPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD. Enabling high performance computing through the use of GPUs requires an incredible amount of IO to sustain application performance. We'll cover architectures that enable extremely scalable applications through the use of NVIDIA’s SuperPOD and DDN’s A3I systems. The NVIDIA DGX SuperPOD is a first-of-its-kind artificial intelligence (AI) supercomputing infrastructure. DDN A³I with the EXA5 parallel file system is a turnkey, AI data storage infrastructure for rapid deployment, featuring faster performance, effortless scale, and simplified operations through deeper integration. The combined solution delivers groundbreaking performance, deploys in weeks as a fully integrated system, and is designed to solve the world's most challenging AI problems. Watch the video: https://wp.me/p3RLHQ-lIV Learn more: https://www.ddn.com/download/nvidia-superpod-ddn-a3i-ai400-appliance-with-the-exa5-filesystem/ and https://www.nvidia.com/en-us/gtc/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

HPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD

inside-BigData.com

In this deck, Paul Isaacs from Linaro presents: State of ARM-based HPC. This talk provides an overview of applications and infrastructure services successfully ported to Aarch64 and benefiting from scale. "With its debut on the TOP500, the 125,000-core Astra supercomputer at New Mexico’s Sandia Labs uses Cavium ThunderX2 chips to mark Arm’s entry into the petascale world. In Japan, the Fujitsu A64FX Arm-based CPU in the pending Fugaku supercomputer has been optimized to achieve high-level, real-world application performance, anticipating up to one hundred times the application execution performance of the K computer. K was the first computer to top 10 petaflops in 2011." Watch the video: https://wp.me/p3RLHQ-lIT Learn more: https://www.linaro.org/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

State of ARM-based HPC

inside-BigData.com

Today Xilinx announced Versal Premium, the third series in the Versal ACAP portfolio. The Versal Premium series features highly integrated, networked and power-optimized cores and the industry’s highest bandwidth and compute density on an adaptable platform. Versal Premium is designed for the highest bandwidth networks operating in thermally and spatially constrained environments, as well as for cloud providers who need scalable, adaptable application acceleration. Versal is the industry’s first adaptive compute acceleration platform (ACAP), a revolutionary new category of heterogeneous compute devices with capabilities that far exceed those of conventional silicon architectures. Developed on TSMC’s 7-nanometer process technology, Versal Premium combines software programmability with dynamically configurable hardware acceleration and pre-engineered connectivity and security features to enable a faster time-to- market. The Versal Premium series delivers up to 3X higher throughput compared to current generation FPGAs, with built-in Ethernet, Interlaken, and cryptographic engines that enable fast and secure networks. The series doubles the compute density of currently deployed mainstream FPGAs and provides the adaptability to keep pace with increasingly diverse and evolving cloud and networking workloads. Learn more: https://insidehpc.com/2020/03/xilinx-announces-versal-premium-acap-for-network-and-cloud-acceleration/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Versal Premium ACAP for Network and Cloud Acceleration

inside-BigData.com

In this video from the Rice Oil & Gas Conference, Chin Fang from Zettar presents: Moving Massive Amounts of Data across Any Distance Efficiently. The objective of this talk is to present two on-going projects aiming at improving and ensuring highly efficient bulk transferring or streaming of massive amounts of data over digital connections across any distance. It examines the current state of the art, a few very common misconceptions, the differences among the three major type of data movement solutions, a current initiative attempting to improve the data movement efficiency from the ground up, and another multi-stage project that shows how to conduct long distance large scale data movement at speed and scale internationally. Both projects have real world motivations, e.g. the ambitious data transfer requirements of Linac Coherent Light Source II (LCLS-II) [1], a premier preparation project of the U.S. DOE Exascale Computing Initiative (ECI) [2]. Their immediate goals are described and explained, together with the solution used for each. Findings and early results are reported. Possible future works are outlined. Watch the video: https://wp.me/p3RLHQ-lBX Learn more: https://www.zettar.com/ and https://rice2020oghpc.rice.edu/program-2/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Zettar: Moving Massive Amounts of Data across Any Distance Efficiently

inside-BigData.com

In this deck from the Rice Oil & Gas Conference, Bradley McCredie from AMD presents: Scaling TCO in a Post Moore's Law Era. "While foundries bravely drive forward to overcome the technical and economic challenges posed by scaling to 5nm and beyond, Moore’s law alone can provide only a fraction of the performance / watt and performance / dollar gains needed to satisfy the demands of today’s high performance computing and artificial intelligence applications. To close the gap, multiple strategies are required. First, new levels of innovation and design efficiency will supplement technology gains to continue to deliver meaningful improvements in SoC performance. Second, heterogenous compute architectures will create x-factor increases of performance efficiency for the most critical applications. Finally, open software frameworks, APIs, and toolsets will enable broad ecosystems of application level innovation." Watch the video: Learn more: http://amd.com and https://rice2020oghpc.rice.edu/program-2/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Scaling TCO in a Post Moore's Era

inside-BigData.com

In this deck from the ECSS Symposium, Abe Stern from NVIDIA presents: CUDA-Python and RAPIDS for blazing fast scientific computing. "We will introduce Numba and RAPIDS for GPU programming in Python. Numba allows us to write just-in-time compiled CUDA code in Python, giving us easy access to the power of GPUs from a powerful high-level language. RAPIDS is a suite of tools with a Python interface for machine learning and dataframe operations. Together, Numba and RAPIDS represent a potent set of tools for rapid prototyping, development, and analysis for scientific computing. We will cover the basics of each library and go over simple examples to get users started. Finally, we will briefly highlight several other relevant libraries for GPU programming." Watch the video: https://wp.me/p3RLHQ-lvu Learn more: https://developer.nvidia.com/rapids and https://www.xsede.org/for-users/ecss/ecss-symposium Sign up for our insideHPC Newsletter: http://insidehp.com/newsletter

CUDA-Python and RAPIDS for blazing fast scientific computing

inside-BigData.com

In this deck from FOSDEM 2020, Colin Sauze from Aberystwyth University describes the development of a RaspberryPi cluster for teaching an introduction to HPC. "The motivation for this was to overcome four key problems faced by new HPC users: * The availability of a real HPC system and the effect running training courses can have on the real system, conversely the availability of spare resources on the real system can cause problems for the training course. * A fear of using a large and expensive HPC system for the first time and worries that doing something wrong might damage the system. * That HPC systems are very abstract systems sitting in data centres that users never see, it is difficult for them to understand exactly what it is they are using. * That new users fail to understand resource limitations, in part because of the vast resources in modern HPC systems a lot of mistakes can be made before running out of resources. A more resource constrained system makes it easier to understand this. The talk will also discuss some of the technical challenges in deploying an HPC environment to a Raspberry Pi and attempts to keep that environment as close to a "real" HPC as possible. The issue to trying to automate the installation process will also be covered." Learn more: https://github.com/colinsauze/pi_cluster and https://fosdem.org/2020/schedule/events/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Introducing HPC with a Raspberry Pi Cluster

inside-BigData.com

In this deck from ATPESC 2019, Ken Raffenetti from Argonne presents an overview of HPC interconnects. "The Argonne Training Program on Extreme-Scale Computing (ATPESC) provides intensive, two-week training on the key skills, approaches, and tools to design, implement, and execute computational science and engineering applications on current high-end computing systems and the leadership-class computing systems of the future." Watch the video: https://wp.me/p3RLHQ-luc Learn more: https://extremecomputingtraining.anl.gov/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Overview of HPC Interconnects

inside-BigData.com

More from inside-BigData.com (20)

Major Market Shifts in IT

Preparing to program Aurora at Exascale - Early experiences and future direct...

Transforming Private 5G Networks

The Incorporation of Machine Learning into Scientific Simulations at Lawrence...

How to Achieve High-Performance, Scalable and Distributed DNN Training on Mod...

Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze ...

HPC Impact: EDA Telemetry Neural Networks

Biohybrid Robotic Jellyfish for Future Applications in Ocean Monitoring

Machine Learning for Weather Forecasts

HPC AI Advisory Council Update

Fugaku Supercomputer joins fight against COVID-19

Energy Efficient Computing using Dynamic Tuning

HPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD

State of ARM-based HPC

Versal Premium ACAP for Network and Cloud Acceleration

Zettar: Moving Massive Amounts of Data across Any Distance Efficiently

Scaling TCO in a Post Moore's Era

CUDA-Python and RAPIDS for blazing fast scientific computing

Introducing HPC with a Raspberry Pi Cluster

Overview of HPC Interconnects

Recently uploaded

ICT role in 21st century education and its challenges

rafiqahmad00786416

💉💊+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHABI}}+971581248768 +971581248768 Mtp-Kit (500MG) Prices » Dubai [(+971581248768**)] Abortion Pills For Sale In Dubai, UAE, Mifepristone and Misoprostol Tablets Available In Dubai, UAE CONTACT DR.Maya Whatsapp +971581248768 We Have Abortion Pills / Cytotec Tablets /Mifegest Kit Available in Dubai, Sharjah, Abudhabi, Ajman, Alain, Fujairah, Ras Al Khaimah, Umm Al Quwain, UAE, Buy cytotec in Dubai +971581248768''''Abortion Pills near me DUBAI | ABU DHABI|UAE. Price of Misoprostol, Cytotec” +971581248768' Dr.DEEM ''BUY ABORTION PILLS MIFEGEST KIT, MISOPROTONE, CYTOTEC PILLS IN DUBAI, ABU DHABI,UAE'' Contact me now via What's App…… abortion Pills Cytotec also available Oman Qatar Doha Saudi Arabia Bahrain Above all, Cytotec Abortion Pills are Available In Dubai / UAE, you will be very happy to do abortion in Dubai we are providing cytotec 200mg abortion pill in Dubai, UAE. Medication abortion offers an alternative to Surgical Abortion for women in the early weeks of pregnancy. We only offer abortion pills from 1 week-6 Months. We then advise you to use surgery if its beyond 6 months. Our Abu Dhabi, Ajman, Al Ain, Dubai, Fujairah, Ras Al Khaimah (RAK), Sharjah, Umm Al Quwain (UAQ) United Arab Emirates Abortion Clinic provides the safest and most advanced techniques for providing non-surgical, medical and surgical abortion methods for early through late second trimester, including the Abortion By Pill Procedure (RU 486, Mifeprex, Mifepristone, early options French Abortion Pill), Tamoxifen, Methotrexate and Cytotec (Misoprostol). The Abu Dhabi, United Arab Emirates Abortion Clinic performs Same Day Abortion Procedure using medications that are taken on the first day of the office visit and will cause the abortion to occur generally within 4 to 6 hours (as early as 30 minutes) for patients who are 3 to 12 weeks pregnant. When Mifepristone and Misoprostol are used, 50% of patients complete in 4 to 6 hours; 75% to 80% in 12 hours; and 90% in 24 hours. We use a regimen that allows for completion without the need for surgery 99% of the time. All advanced second trimester and late term pregnancies at our Tampa clinic (17 to 24 weeks or greater) can be completed within 24 hours or less 99% of the time without the need surgery. The procedure is completed with minimal to no complications. Our Women's Health Center located in Abu Dhabi, United Arab Emirates, uses the latest medications for medical abortions (RU-486, Mifeprex, Mifegyne, Mifepristone, early options French abortion pill), Methotrexate and Cytotec (Misoprostol). The safety standards of our Abu Dhabi, United Arab Emirates Abortion Doctors remain unparalleled. They consistently maintain the lowest complication rates throughout the nation. Our Physicians and staff are always available to answer questions and care for women in one of the most difficult times in their lives. The decision to have an abortion at the Abortion Cl

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...

?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@

AWS Community Day CPH - Three problems of Terraform

Andrey Devyatkin

MINDCTI Revenue Release Quarter One 2024

MIND CTI

presentation ICT roal in 21st century education

jfdjdjcjdnsjd

Understanding the FAA Part 107 License ..

Christopher Logan Kennedy

Elevate Developer Efficiency & build GenAI Application with Amazon Q

Bhuvaneswari Subramani

Dubai, often portrayed as a shimmering oasis in the desert, faces its own set of challenges, including the occasional threat of flooding. Despite its reputation for opulence and modernity, the emirate is not immune to the forces of nature. In recent years, Dubai has experienced sporadic but significant floods, testing the resilience of its infrastructure and communities. Among the critical lifelines in this bustling metropolis is the Dubai International Airport, a bustling hub that connects the city to the world. This article explores the intersection of Dubai flood events and the resilience demonstrated by the Dubai International Airport in the face of such challenges.

Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...

Orbitshub

Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar. In this sequel, we’ll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Safe Software

The Good, the Bad and the Governed - Why is governance a dirty word? David O'Neill, Chief Operating Officer - APIContext Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

apidays

Corporate and higher education. Two industries that, in the past, have had a clear divide with very little crossover. The difference in goals, learning styles and objectives paved the way for differing learning technologies platforms to evolve. Now, those stark lines are blurring as both sides are discovering they have content that’s relevant to the other. Join Tammy Rutherford as she walks through the pros and cons of corporate and higher ed collaborating. And the challenges of these different technology platforms working together for a brighter future.

Corporate and higher education May webinar.pptx

Rustici Software

FWD Group - Insurer Innovation Award 2024

The Digital Insurer

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Edi Saputra

CNIC Information System with Pakdata Cf In Pakistan

danishmna97

DBX First Quarter 2024 Investor Presentation

Dropbox

Boost Fertility New Invention Ups Success Rates.pdf

sudhanshuwaghmare1

💥 You’re lucky! We’ve found two different (lead) developers that are willing to share their valuable lessons learned about using UiPath Document Understanding! Based on recent implementations in appealing use cases at Partou and SPIE. Don’t expect fancy videos or slide decks, but real and practical experiences that will help you with your own implementations. 📕 Topics that will be addressed: • Training the ML-model by humans: do or don't? • Rule-based versus AI extractors • Tips for finding use cases • How to start 👨‍🏫👨‍💻 Speakers: o Dion Morskieft, RPA Product Owner @Partou o Jack Klein-Schiphorst, Automation Developer @Tacstone Technology

DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam

UiPathCommunity

Discover the innovative features and strategic vision that keep WSO2 an industry leader. Explore the exciting 2024 roadmap of WSO2 API management, showcasing innovations, unified APIM/APK control plane, natural language API interaction, and cloud native agility. Discover how open source solutions, microservices architecture, and cloud native technologies unlock seamless API management in today's dynamic landscapes. Leave with a clear blueprint to revolutionize your API journey and achieve industry success!

WSO2's API Vision: Unifying Control, Empowering Developers

WSO2

Angeliki Cooney has spent over twenty years at the forefront of the life sciences industry, working out of Wynantskill, NY. She is highly regarded for her dedication to advancing the development and accessibility of innovative treatments for chronic diseases, rare disorders, and cancer. Her professional journey has centered on strategic consulting for biopharmaceutical companies, facilitating digital transformation, enhancing omnichannel engagement, and refining strategic commercial practices. Angeliki's innovative contributions include pioneering several software-as-a-service (SaaS) products for the life sciences sector, earning her three patents. As the Senior Vice President of Life Sciences at Avenga, Angeliki orchestrated the firm's strategic entry into the U.S. market. Avenga, a renowned digital engineering and consulting firm, partners with significant entities in the pharmaceutical and biotechnology fields. Her leadership was instrumental in expanding Avenga's client base and establishing its presence in the competitive U.S. market.

Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...

Angeliki Cooney

Strategies for Landing an Oracle DBA Job as a Fresher

Remote DBA Services

Recently uploaded (20)

ICT role in 21st century education and its challenges

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...

AWS Community Day CPH - Three problems of Terraform

MINDCTI Revenue Release Quarter One 2024

presentation ICT roal in 21st century education

Understanding the FAA Part 107 License ..

Elevate Developer Efficiency & build GenAI Application with Amazon Q

Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

Corporate and higher education May webinar.pptx

FWD Group - Insurer Innovation Award 2024

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

CNIC Information System with Pakdata Cf In Pakistan

DBX First Quarter 2024 Investor Presentation

Boost Fertility New Invention Ups Success Rates.pdf

DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam

WSO2's API Vision: Unifying Control, Empowering Developers

Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...

Strategies for Landing an Oracle DBA Job as a Fresher

Outlook on Hot Technologies

1. (The annual) Outlook on Hot Technologies Shahin Khan

3. Revolution ©2018 OrionX.net 3 Industrial InformationAgricultural Agricultural Manufacturing Mechanized Ag Service Digital Mfg Digital Farming RevolutionEconomy Social / Economic Model Hunting à Farming Planning Family structure Governance Social / Economic Model Rural à Cities Automation - action Climate Jobs Money Social / Economic Model Regional à Global Automation - decision Awareness Mistrust Accelerated Change Problems

5. Sources of data 5 Organizations Systems Things People Data Extracting Information Content Apps

6. Big rules of big data 1. Data is cheaper to keep than to delete. Multiple copies, in fact. 2. Whatever caused you to collect data will cause you to collect a lot more data. 3. Big Data systems start small, show promise, go big. 4. Data must flow to be valuable. Just how valuable is a function of context. 5. Never assume that you know what is cause and what is effect. 6. The ratio of relevant data to irrelevant data will asymptotically approach zero. 7. The ultimate purpose of analysis is synthesis. 8. Time = Money = Data. There is always a context in which a piece of data is valuable. 9. Volume-Velocity-Variety-Value, meet Irreproducible-Irrelevant-Incomplete-Incorrect. 10. Given enough data, you can simultaneously "prove" opposites. 11. Most conclusions will be either uninteresting or invalid. Big Data starts with interesting-but-useless and graduates to valid-and-useful. 12. Big Data and HPC converge as data volume grows. ©2018 OrionX.net 6

13. Intelligence is Computable AI = High Performance AI ©2018 OrionX.net 13 Artificial Intelligence Search Logical Expert SystemStatistical Numerical Optimization Big Data Simulation / HPC Automation / IoTCloud Big Rules of Big Data AI

15. Trust is computable Blockchain = Decentralized trust ©2018 OrionX.net 15 Natural Scale Distributed Need Traceability Rights Mgmt BlockchainParticipation Consensus Algorithms Layer-2 Technologies Token: Equity, Utility Smart Contracts DecentralizedCentralized Traditional model Tokenless

16. 1. Probability functions made controllable 2. Yes, too early 3. Hot, and will remain hot for the next decade 4. Used as an accelerator 5. Is it QC à What can it do? 6. Quantum supremacy, Y2Q, Quantum-safe Cryptography ©2018 OrionX.net 16 Quantum Computing

19. Thank You! Shahin.Khan@OrionX.net

Outlook on Hot Technologies

Recommended

Recommended

More Related Content

What's hot

What's hot (19)

Similar to Outlook on Hot Technologies

Similar to Outlook on Hot Technologies (20)

More from inside-BigData.com

More from inside-BigData.com (20)

Recently uploaded

Recently uploaded (20)

Outlook on Hot Technologies