This power point precisely presents the guidelines for collecting and interpreting innovation data. It is very helpful for individuals and organization who are doing innovation research
The Oslo Manual is the international reference guide for collecting and using data on innovation. In this new 4th edition, published in October 2018, the manual has been updated to take into account a broader range of innovation-related phenomena as well as the experience gained from recent rounds of innovation surveys in OECD countries and partner economies and organisations.
The Oslo Manual is the international reference guide for collecting and using data on innovation. In this new 4th edition, published in October 2018, the manual has been updated to take into account a broader range of innovation-related phenomena as well as the experience gained from recent rounds of innovation surveys in OECD countries and partner economies and organisations.
iicie.com is a global centre of innovations and entrepreneurs offering training,
certifications and membership in the fields of Technology, Biotech, Green Energy,
Gaming and New Media.
Research and Development is the most important and functional part of the whole business organization which helps in deciding the considerable objectives, finding ways to accomplish them and taking future decisions for overall business growth.
In 2017, Global Research and Development investment has been maximum in the field of electronics and computing. The present foremost requirement of developing business is innovation and Research and Development is contributing a lot towards it.
Thanks for Reading
Team MakeWebBetter
Innovation is the glue between invention and investment, and transforms ideas into businesses. The process of innovation shapes your idea into something people will value and ultimately purchase.
The innovation process cycles through 4 key steps:
1) Ideas and Solutions
2) Business propositions
3) Business feasibility
4) Business planning
What is innovation?
Various types of innovation?
The process of innovation.
Examples of successful and unsuccessful innovation.
packaging innovation.
Importance of innovation.
WHO IS THE GREATER INNOVATOR ?
WHAT ARE THE INNOVATION OBSTACLES?
Original Source www.ctca.ca, share here for discussion at www. facebook.com/xtrategist
Reasons for failure of innovation; Economics of innovation; Importance of innovation management; Innovations strategies for a nation and an organization; Traits of innovative organizations; Types of innovative organizations; Management of innovation
This topic is related to general and professional studies like MBA. If u want to know about the complete innovation topic then please checkout my other presentation which i'll upload soon...
Best Practices for an Effective Innovation ProcessMindjet
In our webinar with Forrester VP and analyst Chip Gliedman, we discuss best practices for implementing an effective innovation process, from ideas through execution.
Presentation by Diego Useche, Associated Professor at the University of Rennes 1 (France), at the FogGuru training Business Modeling and Development in November 2019.
iicie.com is a global centre of innovations and entrepreneurs offering training,
certifications and membership in the fields of Technology, Biotech, Green Energy,
Gaming and New Media.
Research and Development is the most important and functional part of the whole business organization which helps in deciding the considerable objectives, finding ways to accomplish them and taking future decisions for overall business growth.
In 2017, Global Research and Development investment has been maximum in the field of electronics and computing. The present foremost requirement of developing business is innovation and Research and Development is contributing a lot towards it.
Thanks for Reading
Team MakeWebBetter
Innovation is the glue between invention and investment, and transforms ideas into businesses. The process of innovation shapes your idea into something people will value and ultimately purchase.
The innovation process cycles through 4 key steps:
1) Ideas and Solutions
2) Business propositions
3) Business feasibility
4) Business planning
What is innovation?
Various types of innovation?
The process of innovation.
Examples of successful and unsuccessful innovation.
packaging innovation.
Importance of innovation.
WHO IS THE GREATER INNOVATOR ?
WHAT ARE THE INNOVATION OBSTACLES?
Original Source www.ctca.ca, share here for discussion at www. facebook.com/xtrategist
Reasons for failure of innovation; Economics of innovation; Importance of innovation management; Innovations strategies for a nation and an organization; Traits of innovative organizations; Types of innovative organizations; Management of innovation
This topic is related to general and professional studies like MBA. If u want to know about the complete innovation topic then please checkout my other presentation which i'll upload soon...
Best Practices for an Effective Innovation ProcessMindjet
In our webinar with Forrester VP and analyst Chip Gliedman, we discuss best practices for implementing an effective innovation process, from ideas through execution.
Presentation by Diego Useche, Associated Professor at the University of Rennes 1 (France), at the FogGuru training Business Modeling and Development in November 2019.
New Product Development & Product Life Cycle Strategies - MarketingFaHaD .H. NooR
New-Product Development Strategy
New-Product Development Process
Managing New-Product Development
Product Life-Cycle Strategies
Additional Product and Service Considerations
Acquisition refers to the buying of a whole company, a patent, or a license to produce someone else’s product
New product development refers to original products, product improvements, product modifications, and new brands developed from the firm’s own research and development
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
2. Measuring Innovation
• Guidelines for collecting and
interpreting innovation data,
• OM presents guidelines for
collecting data on:
• the general process of innovation (e.g.
innovation activities, expenditures &
linkages),
• the implementation of significant changes
in the firm (i.e. innovations),
• the factors that influence innovation
activities, and
• the outcomes of innovation.
3. Why measure innovation?
• Innovation and economic development;
• Innovation is more than R&D;
• Innovation policy should be evidence-based;
• Innovation data…
• Understanding of innovation and its relation to economic
growth;
• Indicators for benchmarking national performance.
4. What is innovation?
• Innovation is the implementation of:
• New or significantly improved product or process;
• New marketing or organisational method.
Implementation:
A new or improved product is implemented when it is
introduced on the market;
New processes, marketing methods or organisational
methods are implemented when they are brought into
actual use in the firm’s operations.
6. Types of innovation – Product (1)
• Product Innovation:
• Introduction of a good or service that is new or significantly
improved with respect to its characteristics or intended
uses;
• New products: different characteristics or intended uses
from previous products;
• Significantly improvements: changes in materials,
components, and other characteristics that enhance
performance.
7. Types of innovation – Product (2)
• Product Innovation - examples:
• New products:
• The first microprocessors;
• The first digital cameras;
• The first portable MP3 player;
• Significantly improvements:
• Introduction of ABS braking, GPS navigational systems,
or other subsystem improvements in cars;
• The use of breathable fabrics in clothing;
• Improvements in internet banking services, such as
greatly improved speed and ease of use.
Brought to
market
8. Types of innovation – Process (1)
• Process Innovation:
• Implementation of a new or significantly improved
production or delivery method (changes in techniques,
equipment and/or software);
• Intended to: decrease unit costs of production or delivery,
increase quality, or produce or deliver new or significantly
improved products.
9. Types of innovation – Process (2)
• Process Innovation - examples:
• Introduction of a bar-coded goods-tracking system;
• Introduction of GPS tracking devices for transport
services;
• Implementation of computer-assisted design for
product development;
• Implementation of a new reservation system in a travel
agency.
10. Types of innovation – Marketing (1)
• Marketing Innovation:
• Implementation of a new marketing method involving
significant changes in product design or packaging, product
placement, product promotion or pricing;
• Better addressing customer needs, opening up new
markets, or newly positioning a firm’s product on the
market increasing firm’s sales;
• Marketing method NOT previously used - part of a new
marketing concept or strategy;
• For both new and existing products.
11. Types of innovation – Marketing (2)
• Marketing Innovation:
• Product design or packaging: changes in form and
appearance that do not alter products’ functional or user
characteristics + changes in the packaging;
• Product placement: new sales channels;
• Product promotion: new concepts for promoting firms’
goods and services;
• Pricing: new pricing strategies to market the firms’ goods
or services.
12. Types of innovation – Marketing (3)
• Marketing Innovation - examples:
• Development and introduction of a fundamentally new
brand symbol;
• First use of a significantly different media - product
placement in a television programme;
• Introduction for the first time of a franchising system.
13. Types of innovation – Organisational (1)
• Organisational Innovation:
• Implementation of a new organisational method in the
firm’s business practices, workplace organisation or
external relations;
• Increase firm’s performance by reducing
administrative/transaction costs, improving workplace
satisfaction, accessing non-tradable assets, or reducing
costs of supplies;
• Organisational method NOT used before - result of
strategic decisions taken by management.
14. Types of innovation – Organisational (2)
• Organisational Innovation:
• Business practices: implementation of new methods for
organising routines and procedures for the conduct of
work;
• Workplace organisation: new methods for distributing
responsibilities and decision making among employees for
the division of work within and between firm activities +
new concepts for the structuring of activities;
• External relations: new ways of organising relations with
other firms or public institutions.
15. Types of innovation – Organisational (3)
• Organisational Innovation - examples:
• First implementation of a database of best practices;
• Establishment of new types of collaborations with
research organisations;
• First implementation of an organisational model that
gives the firm’s employees greater autonomy in
decision making and encourages them to contribute
their ideas.
16. Diffusion and degree of novelty
By definition, all innovations must contain a degree of novelty:
• New to the firm;
• New to the market:
• Market is defined as the firm and its competitors and it can include a geographic region
or product line.
• New to the world;
• when the firm is the first to introduce the innovation for all markets and industries,
domestic and international.
A related concept is a radical or disruptive innovations:
• defined as an innovation that has a significant impact on a market and on the
economic activity of firms in that market;
• The focus is on impact of innovations as opposed to their novelty;
• May become apparent only long after introduction,
• Difficult to measure
17. Example – product innovation/degree of novelty
(Product innovations) Yes No
New or significantly improved goods? ( ) ( )
New or significantly improved services? ( ) ( )
(Degree of novelty) Yes No
New to your market? ( ) ( )
Only new to your firm? ( ) ( )
During the three years 200X to 200Y, did your
enterprise introduce:
Were any of your product innovations during the three
years 200X to 200Y:
18. Example – organisational innovation
(Organisational innovations) Yes No
New business practices for organising
procedures
( ) ( )
New methods of organising work
responsibilities and decision making
( ) ( )
New methods of organising external relations
with other firms or public institutions
( ) ( )
During the three years 200X to 200Y, did your enterprise
introduce: