How to increase your speed of learning - Mick LiubinskasMick Liubinskas
It's not the first, biggest or most cashed up company that wins in the innovation race. It's the fastest, best learner.
How can you, your team and your company increase your speed and quality of learning, get ahead and stay ahead.
How to increase your speed of learning - Mick LiubinskasMick Liubinskas
It's not the first, biggest or most cashed up company that wins in the innovation race. It's the fastest, best learner.
How can you, your team and your company increase your speed and quality of learning, get ahead and stay ahead.
IBM Academy of Technology & Cognitive ComputingNico Chillemi
I delivered this presentation at University at Chieti-Pescara in Abruzzo (Italy) in September 2015, introducing IBM Academy of Technology and talking about Cognitiva Computing and Analytics with IBM Watson and IBM IT Operations Analytics Log Analysis (ITOA). The video in Italian is available on YouTube, please contact me if you are interested. Thanks to Amanda Tenedini for the help with Social Media and to Piero Leo for the help with IBM Watson.
Efficiencies That Drive and Transform the Customer ExperienceAnatola He
- Advance digital transformation and automation initiatives by thinking beyond polished customer-facing platforms.
- Uncover hidden, unexpected opportunities in the middle and back office to drive better business outcomes and improve customer experience.
- Discover how rethinking workflows can not only improve operational efficiency, but also create new product and service possibilities.
Building an AI Startup: Realities & TacticsMatt Turck
AI is all the rage in tech circles, and the press is awash in tales of AI entrepreneurs striking it rich after being acquired by one of the giants. As always, the realities of building a startup are different, and the path to success requires not just technical prowess but also thoughtful market positioning and business excellence.
In a talk of interest to anyone building or implementing an AI product, Matt Turck and Peter Brodsky leverage hundreds of conversations with AI (and big data) founders and hard-learned lessons building companies from the ground up to highlight successful strategies and tactics.
Topics include:
Successful data acquisition strategies
Data network effects
Competing with the giants
A pragmatic approach to building an AI team
Why social engineering is just as important to success as groundbreaking AI technology
This was a short presentation introducing the latest work on the IoT Methodology explaining usecases, past projects and lessons learnt from reverse engineering various projects we have carried out recently
The Best & Worst Uses of AI in Software TestingEficode
Ingo Philipp
Distinguished Evangelist – Tricentis
Ingo Philipp champions the methodologies and technologies at the core of the company’s continuous testing solution. In his previous position as a senior product manager, he orchestrated product development and product marketing.
A Guide to Succeeding in the Internet of Things provides innovators, designers, engineers and strategists with shared tools and a vocabulary to collaborate and create fresh, viable product and service concepts in the Internet of Things (IoT).
Introductory presentation for the two day IoT lab at hubraum in Berlin, sponsored by Intel, organised by WebVisions and delivered by Claro Partners.
IoT Labs bring together designers, developers, makers and strategists to learn, create and prototype people centred offerings in the Internet of Things . In only two days teams go from exploring the IoT to prototyping and pitching new IoT business ideas using Claro's tools like the IoT landscape, IoT canvas and need frameworks.
Startupbootcamp Data & IoT and IoT lab - presentation at betahausClaro Partners Inc.
Presentation about the Startupbootcamp Data & IoT and IoT Labs - two initiatives from Claro Partners to help IoT entrepreneurs be successful with tools and mentoring.
AI-SDV 2020: Special Hypertext Information Treatment in is Special Hypertext ...Dr. Haxel Consult
With all new technologies and intelligence one may think that all information issues will be solved in the (near) future. However, one of the most fundamental issues at hand is that with the lack of reliable, quality information there is no useable output to work with in the first place. This presentation looks at the global challenges that we are still faced with today relating to content that will keep us from truly intelligent discovery in the future if nothing is done.
SmartData Webinar: Cognitive Computing in the Mobile App EconomyDATAVERSITY
Mobility is transforming work and life throughout the planet. Mobile apps--built for a growing range of handhelds, wearables, Internet of Things, and other platforms--are becoming the universal access paths to commerce, content, and community in the 21st century. The app economy refers to this new world where every decision, action, exploration, and experience is continuously enriched and optimized through the cloud-served apps that accompany you everywhere. In this webinar, James Kobielus, IBM's Big Data Evangelist, will discuss the potential of cognitive computing to super-power the emerging app economy. In addition to providing an overview of IBM's Watson strategy for cognitive computing, Kobielus will go in-depth on IBM's strategic partnership with Apple to draw on the strengths of each company to transform enterprise mobility through a new class of apps that leverage IBM’s Watson-based big data analytics cloud and add value to Apple's iPhone and iPad platforms in diverse industries.
Presentation by Bob Sutor at the International Association of Privacy Professionals in Washington, DC USA, on March 6, 2014. This short presentation was meant to stimulate ideas that would then be complemented by discussions about privacy policies as it relates to Big Data, and in that sense is not complete regarding all aspects of privacy that come from the issues discussed.
Technology, especially IT has affected our lives. Various activities are getting streamlined due to IT. The world today is characterized by powerful IT, forces of collaboration and digitization.
IBM Academy of Technology & Cognitive ComputingNico Chillemi
I delivered this presentation at University at Chieti-Pescara in Abruzzo (Italy) in September 2015, introducing IBM Academy of Technology and talking about Cognitiva Computing and Analytics with IBM Watson and IBM IT Operations Analytics Log Analysis (ITOA). The video in Italian is available on YouTube, please contact me if you are interested. Thanks to Amanda Tenedini for the help with Social Media and to Piero Leo for the help with IBM Watson.
Efficiencies That Drive and Transform the Customer ExperienceAnatola He
- Advance digital transformation and automation initiatives by thinking beyond polished customer-facing platforms.
- Uncover hidden, unexpected opportunities in the middle and back office to drive better business outcomes and improve customer experience.
- Discover how rethinking workflows can not only improve operational efficiency, but also create new product and service possibilities.
Building an AI Startup: Realities & TacticsMatt Turck
AI is all the rage in tech circles, and the press is awash in tales of AI entrepreneurs striking it rich after being acquired by one of the giants. As always, the realities of building a startup are different, and the path to success requires not just technical prowess but also thoughtful market positioning and business excellence.
In a talk of interest to anyone building or implementing an AI product, Matt Turck and Peter Brodsky leverage hundreds of conversations with AI (and big data) founders and hard-learned lessons building companies from the ground up to highlight successful strategies and tactics.
Topics include:
Successful data acquisition strategies
Data network effects
Competing with the giants
A pragmatic approach to building an AI team
Why social engineering is just as important to success as groundbreaking AI technology
This was a short presentation introducing the latest work on the IoT Methodology explaining usecases, past projects and lessons learnt from reverse engineering various projects we have carried out recently
The Best & Worst Uses of AI in Software TestingEficode
Ingo Philipp
Distinguished Evangelist – Tricentis
Ingo Philipp champions the methodologies and technologies at the core of the company’s continuous testing solution. In his previous position as a senior product manager, he orchestrated product development and product marketing.
A Guide to Succeeding in the Internet of Things provides innovators, designers, engineers and strategists with shared tools and a vocabulary to collaborate and create fresh, viable product and service concepts in the Internet of Things (IoT).
Introductory presentation for the two day IoT lab at hubraum in Berlin, sponsored by Intel, organised by WebVisions and delivered by Claro Partners.
IoT Labs bring together designers, developers, makers and strategists to learn, create and prototype people centred offerings in the Internet of Things . In only two days teams go from exploring the IoT to prototyping and pitching new IoT business ideas using Claro's tools like the IoT landscape, IoT canvas and need frameworks.
Startupbootcamp Data & IoT and IoT lab - presentation at betahausClaro Partners Inc.
Presentation about the Startupbootcamp Data & IoT and IoT Labs - two initiatives from Claro Partners to help IoT entrepreneurs be successful with tools and mentoring.
AI-SDV 2020: Special Hypertext Information Treatment in is Special Hypertext ...Dr. Haxel Consult
With all new technologies and intelligence one may think that all information issues will be solved in the (near) future. However, one of the most fundamental issues at hand is that with the lack of reliable, quality information there is no useable output to work with in the first place. This presentation looks at the global challenges that we are still faced with today relating to content that will keep us from truly intelligent discovery in the future if nothing is done.
SmartData Webinar: Cognitive Computing in the Mobile App EconomyDATAVERSITY
Mobility is transforming work and life throughout the planet. Mobile apps--built for a growing range of handhelds, wearables, Internet of Things, and other platforms--are becoming the universal access paths to commerce, content, and community in the 21st century. The app economy refers to this new world where every decision, action, exploration, and experience is continuously enriched and optimized through the cloud-served apps that accompany you everywhere. In this webinar, James Kobielus, IBM's Big Data Evangelist, will discuss the potential of cognitive computing to super-power the emerging app economy. In addition to providing an overview of IBM's Watson strategy for cognitive computing, Kobielus will go in-depth on IBM's strategic partnership with Apple to draw on the strengths of each company to transform enterprise mobility through a new class of apps that leverage IBM’s Watson-based big data analytics cloud and add value to Apple's iPhone and iPad platforms in diverse industries.
Presentation by Bob Sutor at the International Association of Privacy Professionals in Washington, DC USA, on March 6, 2014. This short presentation was meant to stimulate ideas that would then be complemented by discussions about privacy policies as it relates to Big Data, and in that sense is not complete regarding all aspects of privacy that come from the issues discussed.
Technology, especially IT has affected our lives. Various activities are getting streamlined due to IT. The world today is characterized by powerful IT, forces of collaboration and digitization.
Keynote talk targeted to PhD students, during the BENEVOL 2023 research seminar (focused on software evolution) in Nijmegen, 27 November 2023, by Tom Mens (full professor in software engineering at University of Mons, Belgium). The keynote aims to provide tips, tricks and practical advice on how to become successful as a PhD student.
Introductory talk given to PhD students starting research at NUS PhD open day 2020. Covers research in Computer Science, and some experience in research on trustworthy software systems.
How to do science in a large IT company (ICPC World Finals 2021, Moscow)Alexander Borzunov
The talk covers:
- Why do companies need research?
- What researchers do?
- Research at Yandex
- How did I get there?
- Our group's research: Distributed deep learning over the Internet
SDSU Mgt747 FA13 summary - Technology Commercialization Ricardo dos Santos
Summary of SDSU's MBA class, MGT 747: Seminar in Technology Commercialization
Overview of major frameworks covered in class including disruptive innovation, customer development, business model generation and strategic choice canvas
EffectiveUI's Ari Weissman (Lead Experience Architect) and Lys Maitland (Senior Experience Planner) spoke at Denver Startup Week 2016. Discussion description:
Test early, test often.
It’s a mantra that’s been proven successful time and again when it comes to innovation and design. So why aren’t you doing it? In the start-up world, when everything is moving so quickly, it can be easy to overlook or postpone collecting feedback from real people because of cost, time, or lack of preparation. Don’t let those things stop you. Valid data can be captured cheaply, quickly, and with half-finished products and strategies.
This talk will cover:
What is user testing and why is it important
How to plan for user testing
What are ways to make testing cheaper
What are ways to make testing quicker
How to test with different fidelities of concept and design
How to collect data more frequently
Opportunities for getting the whole team engaged
What to do with the insights/outcomes of research
Iscram Multi Stakeholder Track And Labs Proposal 20090512Paul Burghart
This presentation was given at ISCRAM2009 to propose a special track for ISCRAM2010. The proposed track will involve practioners, business and researchers in a number of workshops that are of common interest. Additionally a network of ISCRAM (living) labs is proposed that could use this special track as a place to prsent and discuss their work.
Denver Startup Week 2019: Choosing a Direction Learning How to Test Ideas and...BrittanyRubinstein
As part of Denver's 2019 Startup Week, Crownpeak's Director of UX, Ari Weissman and Lys Maitland, Experience Research Manager at a national healthcare organization, presented a joint session on "Choosing a direction: Learning how to test ideas and designs."
How to build a data science project in a corporate setting, by Soraya Christi...WiMLDSMontreal
"Applied data science in the industry: How to build a data science project in a corporate setting - best practices and a real-world example"
By Soraya Christina, Senior Data Scientist at Morgan Stanley
Abstract:
- Which platforms/technology to use for your analytics project and why? (Spark, Hadoop, vendor products, open source, Python, Scala, etc?)
- How to build your data science flow and what to avoid? (Occam's razor, testable and structured flow)
- How to presents results in a way business stakeholders understand them? (Making complex concepts easy to understand by business lines)
- A real-world example of a real-time failure prediction using Spark streaming and ML components.
The purpose of this talk is to present the challenges and solutions when building data science projects in a corporate environment. Generating insights for better business decision making is what drives data science projects. But working with business side by side, being able to build a reliable flow and properly communicating results and key elements are more than crucial, it is what will guarantee the success of your data science projects.
Which institute is best for data science?DIGITALSAI1
EduXfactor is the top and best data science training institute in hyderabad offers data science training with 100% placement assistance with course certification.
Similar to Maximise Your Research Potential with Relevant Industry (20)
This presentation, created by Syed Faiz ul Hassan, explores the profound influence of media on public perception and behavior. It delves into the evolution of media from oral traditions to modern digital and social media platforms. Key topics include the role of media in information propagation, socialization, crisis awareness, globalization, and education. The presentation also examines media influence through agenda setting, propaganda, and manipulative techniques used by advertisers and marketers. Furthermore, it highlights the impact of surveillance enabled by media technologies on personal behavior and preferences. Through this comprehensive overview, the presentation aims to shed light on how media shapes collective consciousness and public opinion.
This presentation by Morris Kleiner (University of Minnesota), was made during the discussion “Competition and Regulation in Professions and Occupations” held at the Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found out at oe.cd/crps.
This presentation was uploaded with the author’s consent.
Acorn Recovery: Restore IT infra within minutesIP ServerOne
Introducing Acorn Recovery as a Service, a simple, fast, and secure managed disaster recovery (DRaaS) by IP ServerOne. A DR solution that helps restore your IT infra within minutes.
0x01 - Newton's Third Law: Static vs. Dynamic AbusersOWASP Beja
f you offer a service on the web, odds are that someone will abuse it. Be it an API, a SaaS, a PaaS, or even a static website, someone somewhere will try to figure out a way to use it to their own needs. In this talk we'll compare measures that are effective against static attackers and how to battle a dynamic attacker who adapts to your counter-measures.
About the Speaker
===============
Diogo Sousa, Engineering Manager @ Canonical
An opinionated individual with an interest in cryptography and its intersection with secure software development.
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Lessons Learned
1. No industrial experience in Product
Development
2. Didn’t realize the scale of the Project
3. Too ambitious – Prototype to Real Product
4. Importance of Teamwork – Research Cluster
(Telematics)
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Lessons Learned
1. Business opportunities – B2C or B2B
2. Technology too early – SMS, MMS, GPRS
3. Talent insufficient to develop in-house
4. Priority - Solving internal problems or creating
new products
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The MIMOS (R&D)
Journey
• 39 Research prototypes
(covering projects such as
IPv6, WSN, WiMAX, IMS,
6LoWPAN, IOT, HetNet,
Cognitive Radio, Mobile
Cloud etc), 130 IP
Disclosures including 27
Patents, which are
considered novel and
inventive.
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WiWi Product Variants
Access Point
Relay
Wireless Hybrid
Point-to-Point
Bridge
IOT
Gateway
Mesh
WiWi Gen 1.8b-1 (AP)
WiWi Gen 1.8b-2 (AP Ent)
WiWi Gen 1.8b-3 (Relay)
WiWi Gen 1.8b-11 (Relay Ent)
WiWi Gen 1.8b-4 (WiMAX)
WiWi Gen 1.8b-10 (HSDPA)
WiWi Gen 1.8b-19 (LTE)
WiWi Gen 1.8b-5
WiWi Gen 1.8b-6
WiWi Gen 1.8b-7 (IOT/ADSL)
WiWi Gen 1.8b-16 (IOT/WiMAX)
WiWi Gen 1.8b-17 (IOT/HSDPA)
WiWi Gen 1.8b-18 (IOT/LTE)
WiWi Gen 1.8b-12 (Gateway/ADSL)
WiWi Gen 1.8b-13 (Gateway/WiMAX)
WiWi Gen 1.8b-14(Gateway/HSDPA)
WiWi Gen 1.8b-15 (Gateway/LTE)
WiWi Gen 1.8b-9 (Mesh Point)
GPS
WiWi Gen 1.8b-8 **
Completed (PRA)
On-Going
Not CCN yet
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Lessons Learned
1. Very costly and long period - Research to Product to
Commercialization
2. Patents on the shelf
3. Two separate teams (Research & Development) under
different Heads
4. Non-agile – Too process oriented
5. The Trap of Osborne Effect
6. Too big to chew
7. “Solution in search of a Problem”?
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How-To Build Producer Nation
University Industry Market
R&D Product (Roadmap) Commercialise
Maintain Loyalty
Output
Share
Industry problems
Sell
Understanding Roles and Responsibilities
• Publications
• Knowledge
• Time-to-market
• Revenue
• Solve their problems
YouTube Video
Prototype
(Alpha)
Prototype
(Beta)
Copyright: Dr. Mazlan Abbas (2020)
16. favoriot
10-Slides Pitch Deck
10. Call to Action
9. Team
8. Competitive
Analysis
2. Problem
Statement
3. Target
Market
4. The Solution –
Your Product
5. Business
Model
6. Current
Traction
7.
Marketing
Strategy
1. Vision
Pitch
Deck
17. favoriot
Crossing the CHASM
Public Sector
Grants
Entrepreneurial and
Seed/Angel
Investors
Venture
Capitalists
Stock Owners
Technology
Creation
Market Focused
Business & Product
Development
Early
Commercialization
Private Sector
CHASM
Cash Flow
“Valley of Death”
Cash
Flow
Or
Sales
Typical
Primary
Investors
Cash Flow
Sales
Time
19. favoriot
Research “Misunderstanding”
• How Long Does It Take?
• What’s the Difference Between Masters and PhD?
• Why Problem Definition Takes A Long Time?
• Why “Research” Approach is Different From “Development”?
• What are the characteristics of a Good Researcher?
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What is BASIC Research?
• Basic research also known as fundamental or pure research is driven by a
scientist’s curiosity or interest in a question. The main motivation of this type of
research is:-
• To expand man’s knowledge of the world and not to invent or create
something new.
• There is no obvious commercial value in research of this type.
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What is
BASIC
Research?
• Basic science research includes
answers to such questions as:
• How did the universe begin?
• How has the brain evolved over
time?
• How does DNA determine who
we are?
• What is the specific genetic code
of an earth worm?
• What are protons, neutrons and
electrons made of?
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What is APPLIED Research?
• Applied research is designed to the practical problems that exist in the
modern world, rather than to just acquire knowledge for knowledge’s sake.
• One main goal of applied science is to improve human conditions and
make the world a better place.
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What is
APPLIED
Research?
Applied science may investigate ways
to:
• improve agricultural crop
production
• get better network throughput
• find alternative routing solutions
• treat or cure a specific disease
• improve the energy efficiency of
homes
37. favoriot
Activity Detail Tasks Timeframe
Establish
Context
Literature Review
Problem Definition
Scope of Research
3-6 months
(MSc-PhD)
Select & Design
Methods
Mathematical Modeling
Simulation
Experimental
3-6 months
Undertake
Research
New mathematical theory
New programming language
New simulation tool
Acquisition and trials test-bed
3-6 months
Analysis &
Validation
Testing of Model 6-12 months
Create Output Thesis
Technical report
3-6 months
Review &
Evaluate
Publication
Conference
VIVA
< 3 months
Note: On average = Masters (2 years to complete) and PhD (3-6 years to complete)
38. favoriot
How To Choose a Good
Scientific Problem?
[Excerpts from the Article “How To Choose a Good Scientific Problem” by Uri Alon]
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Choosing good problem is essential for
being a good researcher.
But what is a good problem, and how do
you choose one?
42. favoriot
The mentors’ task is to support students through the cloud that seems to guard
the entry into the unknown. And, with this schema, we have more space to see
that problem C exists and may be more worthwhile than continuing to plod
toward B.
“Sailing into the unknown again and again takes courage”
The Objective and Nurturing Schemas of Research
46. favoriot
Network Model
Traffic Model
Packet Scheduling Model
Algorithm
Performance Results
Simulation
Scalable, Flexible
Assumptions must be
accurate
Time consuming
Either self-programming or
using simulation tool
Expensive (?)
48. favoriot
Degree
Masters
PhD
Support test-bed setup
Simple experiment and Data Collection
Some simple application programming
Support experimental work (advanced)
Simulation to proof the concept/ideas
Mathematical modeling
Develop Simulation model
Co-generate and test new ideas
The need for Degree, Masters and PhD In a
research group
50. favoriot
Researchers Expectations
• Breathing space
• Need time to think to be creative.
• Understanding Short and Long Term
• Knowledge always starts anew in every project.
• Impact of “Killing A Project”
• We can kill a Product or Project but be careful in killing a
“Research” since it will “wipe out” knowledge.
• Quest for Knowledge
• Never ending journey to the Frontiers of Knowledge
• Finding new challenges
• Recognition in their area of expertise
51. favoriot
Light At the End of The Tunnel
“Research” Working with the “Unknown”
“Development” Working with “Known”
PhD is not all about the novelty achieved but it’s the Systematic
Process of Doing Research that’s the utmost important.
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Viewing Angle
Application Layer
Physical Layer
Data Link Layer
Presentation Layer
Network Layer
Transport Layer
Session Layer
Valley of Appreciation – the challenge
Management
Researcher
My view…
59. favoriot
Development
(D)
Stage Activities ~ %
S E
R 100 0
AR 80 20
AT 50 50
PD 10 90
M 0 100
Risk
increases
Research
Research to Development Value Chain
Applied
Research
Advanced
Technology
Product
Development
Maintenance