The search for new business ideas and new business models is hit-or-miss in most corporations, despite the extraordinary pressure on executives to grow their businesses.
This presentation explains about What is innovation and how it is important for business. What are the different innovation pattern and how they affect business and clients. It also describe how this is in reference with managers of India.
Most Significant Trends Impacting Global Supply Chain and Manufacturing Teamsbobferrari823
Within the next five years, five converging mega-trends will impact global supply chain and manufacturing teams. This presentation reviews these trends and offers conclusions as to their impact.
This presentation explains about What is innovation and how it is important for business. What are the different innovation pattern and how they affect business and clients. It also describe how this is in reference with managers of India.
Most Significant Trends Impacting Global Supply Chain and Manufacturing Teamsbobferrari823
Within the next five years, five converging mega-trends will impact global supply chain and manufacturing teams. This presentation reviews these trends and offers conclusions as to their impact.
How does Green Information Tehcnology achieve innovation? Is this possible in real time? One needs to focus on Green IT, technology driven software development to ascertain for themselves.
Digital Transformation of the Enterprise Value ChainsRui Ribeiro
Presentation of research paper in Global Forum for Intellectual Capital
Paper available at Research Gate: https://www.researchgate.net/publication/332963342_Digital_Transformation_of_the_Enterprise_Value_Chains
From Automation System to Hyperconvergence - The Top Data Center Trends in Re...Comarch_Services
The beginning of 2016 was a promising period for data centers, filled with new drivers such as the power of Big Data and
new capabilities for analysis. What were the major trends in the data center industry during 2016? We try to identify and dive
a bit deeper into top data center issues and the technologies that have had the most significant impact on the sector in 2016.
Keynote Address - Leaning Forward: Imagine Supply Chain 2030
Setting the stage for the conference, Lora Cecere will share recent research on the future of the supply chain. and insights on what drives value in supply chains.
Lora Cecere, Founder of Supply Chain Insights
From the 2017 Supply Chain Insights Global Summit
The science of big data, along with new IT standards that allow enhanced data integration, makes it possible to coordinate information across industries or sectors in new ways.
In this presentation, Abhinish introduces the topic of SMAC and associated trends. His interest area lies cloud computing where he is curious to know the working of cloud.
How does Green Information Tehcnology achieve innovation? Is this possible in real time? One needs to focus on Green IT, technology driven software development to ascertain for themselves.
Digital Transformation of the Enterprise Value ChainsRui Ribeiro
Presentation of research paper in Global Forum for Intellectual Capital
Paper available at Research Gate: https://www.researchgate.net/publication/332963342_Digital_Transformation_of_the_Enterprise_Value_Chains
From Automation System to Hyperconvergence - The Top Data Center Trends in Re...Comarch_Services
The beginning of 2016 was a promising period for data centers, filled with new drivers such as the power of Big Data and
new capabilities for analysis. What were the major trends in the data center industry during 2016? We try to identify and dive
a bit deeper into top data center issues and the technologies that have had the most significant impact on the sector in 2016.
Keynote Address - Leaning Forward: Imagine Supply Chain 2030
Setting the stage for the conference, Lora Cecere will share recent research on the future of the supply chain. and insights on what drives value in supply chains.
Lora Cecere, Founder of Supply Chain Insights
From the 2017 Supply Chain Insights Global Summit
The science of big data, along with new IT standards that allow enhanced data integration, makes it possible to coordinate information across industries or sectors in new ways.
In this presentation, Abhinish introduces the topic of SMAC and associated trends. His interest area lies cloud computing where he is curious to know the working of cloud.
The search for new business ideas and new business models is hit-or-miss in most corporations
When good ideas do emerge, they’re often doomed because the company is organized to support one way of doing business and doesn’t have the processes or metrics to support a new one.
The search for new business ideas and new business models is hit-or-miss in most corporations
When good ideas do emerge, they’re often doomed because the company is organized to support one way of doing business and doesn’t have the processes or metrics to support a new one.
This presentation is about the innovative ideas that should be encouraged in various organizations for their positive progress. Also, it deals with the 5 most important patterns for Innovation.
Are you making money on your data assets? You could be. And there is more than one way. Boost innovation, tap into new revenue streams and industry sectors. It’s time to see the potential of big data.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
2. Tested ways of framing the search for ideas:
1.Competency based
2.Customer focused
3.Changes in the business environment
4.Explosion in digital information and tools
Managers can concieve solid ideas for new
businesses through patterns formed from
the basis of framework.
3. Patterns depends on bleeding-edge
technology:-
1.Using data that physical objects generate.
2.Digitizing physical assets.
3.Combining data within & across
industries.
4.Trading data.
5.Codifying Capability.
5. •Advances in sensors, wireless communications,
and big data, have made it feasible to gather
and crunch enormous amounts of data in a
variety of contexts— from wind turbines to
kitchen appliances to intelligent scalpels. Those
data can be used to improve the design,
operation, maintenance, and repair of assets or
to enhance how an activity is carried out.
• Such capabilities have, in turn, opened
opportunities new services or new business
models.
7. •Over the past two decades, the digitization of
music, books, and video has famously upended
entertainment industries, spawning new models
such as iTunes, e-readers, and more. As mobile
technologies continue to fuel this trend, more
creative businesses are tapping into it and
generating their own enhanced services or new
business models.
• The management of digitization itself could
be a new business. Many industries need a
long-term, secure way to store their digital
assets. As more assets become digitized, we
expect competitive advantage to shift.
9. The science of big data, along with new IT
standards that allow enhanced data
integration, makes it possible to
coordinate information across industries
or sectors in new ways.
Behind the scenes, a common IT system
links all the relevant agencies—social
services, health, and property
maintenance—enabling a highly
coordinated response.
11. The ability to combine disparate data sets
allows companies to develop a variety of
new offerings for adjacent businesses.
Cell phone data can also be used to
improve transit and traffic management
and, we speculate, in more-commercial
ways as well.
13. Ever since their invention, IT systems have
helped automate business processes. Now
companies have a practical way to take the
processes they’ve perfected, standardize
them, and sell them to other parties. Any
process that is best-in-class—but not
central to a company’s competitive
advantage—can thus be turned into a
profitable business.
15. •The five patterns are a helpful way to
structure a conversation about new
business ideas—and, as we’ve shown,
there are good examples of all five—but
actual initiatives often encompass two or
three of the patterns.
16. •It’s becoming a stronger force in the
quest for new business opportunities.
The faster technology advances, the
more opportunities seem to open up. It’s
time companies took a structured,
systematic approach to examining these
advances, carefully considering how IT
can enable not only better products and
services but also innovative business
models and platforms.