This document discusses the concept of "Big Calculations", which is defined as optimizing a business in real-time to achieve fast and efficient results. It provides examples of optimization challenges in different industries like manufacturing, logistics, and workforce planning. It also outlines the steps involved in delivering "Calculated Decisions" through selecting goals, defining planning problems, modeling constraints, measuring key performance indicators, and optimizing solutions.
The biggest “Big Data” myth is that data itself is valuable. Unfortunately, big data doesn't provide solutions, it simply creates more options—and most businesses are already overwhelmed with options. Making calculated decisions about which options maximize efficiency is the challenge…and efficiency is a puzzle. As permutations increase, so does complexity. But the harder the puzzle, the closer you are to real competitive advantage. The speaker will present a five-step road map to value: calculated decisions.
Kickstarter or Indiegogo or R&D ? What's the best solution to make Your Dreams come true ? VC or Crowdfunding ?
Let's look at the Ring : Shortcut Everything" Kickstarter Project that is "Big Product - Poor Design" with "Fail" suggestion. Can it still be "Success" Product ?
Also i will look at my Startup Project that was similar to "Ring : Shortcut Everything" but i started in 2011.
1. Wish – Sky is not the limit – Dream Big
2. Will – Yes, we Can – I Need a Super Hero
3. Work – No Pain, No Game = Time-To-Market
4. Warnings – When it’s turning from Green to Red.
5. Wonder Why - Programmers quote " My code does(n’t) work – I have no wonder why”
Big Data Meets IoT: Lessons From the Cloud on Polling, Collecting, and Analyz...StampedeCon
The collection and use of Big Data has become an important part of modern business practice. The Internet of Things (IoT) movement promises to provide new opportunities for businesses interested in the intersection of people and technology. It is also wrought with pitfalls for practitioners and researchers who struggle to make sense of an increasing cacophony of signals. How should they poll and collect data from millions of signals in a way that is manageable, scalable, and statistically valid? How should they analyze and predict using these data? This presentation will discuss these challenges with applied examples from monitoring and managing one of the world’s largest computers.
Keynote presentation from AgileChina 2015. An appeal to 1) understand the why behind practices and processes, and 2) remember the people while leading change.
Realtime Risk Management Using Kafka, Python, and Spark Streamingnicolasevans
At Shopify, we underwrite credit card transactions, exposing us to the risk of losing money. We need to respond to risky events as they happen, and a traditional ETL pipeline just isn't fast enough. Spark Streaming is an incredibly powerful realtime data processing framework based on Apache Spark. It allows you to process realtime streams like Apache Kafka using Python with incredibly simplicity.
It is a beginner level talk
Review 6 top supply chain planning deals or projects in past 2 decades
Top take away on decision making
Pitfall and success facts on each project implementation
Define new business environment of enterprise
supplier see needs from customer
customer side request solution responding faster and wide coverage
Define new drivers on supply chain projects next decade
THERE IS SOME NEW MODEL INVOLOVED
OPEATIONAL NEEDS ON NEW KPIS
OR EXPERTS INVOLOVMENTS NEEDS
MODELING TOOLS IS KEY
The biggest “Big Data” myth is that data itself is valuable. Unfortunately, big data doesn't provide solutions, it simply creates more options—and most businesses are already overwhelmed with options. Making calculated decisions about which options maximize efficiency is the challenge…and efficiency is a puzzle. As permutations increase, so does complexity. But the harder the puzzle, the closer you are to real competitive advantage. The speaker will present a five-step road map to value: calculated decisions.
Kickstarter or Indiegogo or R&D ? What's the best solution to make Your Dreams come true ? VC or Crowdfunding ?
Let's look at the Ring : Shortcut Everything" Kickstarter Project that is "Big Product - Poor Design" with "Fail" suggestion. Can it still be "Success" Product ?
Also i will look at my Startup Project that was similar to "Ring : Shortcut Everything" but i started in 2011.
1. Wish – Sky is not the limit – Dream Big
2. Will – Yes, we Can – I Need a Super Hero
3. Work – No Pain, No Game = Time-To-Market
4. Warnings – When it’s turning from Green to Red.
5. Wonder Why - Programmers quote " My code does(n’t) work – I have no wonder why”
Big Data Meets IoT: Lessons From the Cloud on Polling, Collecting, and Analyz...StampedeCon
The collection and use of Big Data has become an important part of modern business practice. The Internet of Things (IoT) movement promises to provide new opportunities for businesses interested in the intersection of people and technology. It is also wrought with pitfalls for practitioners and researchers who struggle to make sense of an increasing cacophony of signals. How should they poll and collect data from millions of signals in a way that is manageable, scalable, and statistically valid? How should they analyze and predict using these data? This presentation will discuss these challenges with applied examples from monitoring and managing one of the world’s largest computers.
Keynote presentation from AgileChina 2015. An appeal to 1) understand the why behind practices and processes, and 2) remember the people while leading change.
Realtime Risk Management Using Kafka, Python, and Spark Streamingnicolasevans
At Shopify, we underwrite credit card transactions, exposing us to the risk of losing money. We need to respond to risky events as they happen, and a traditional ETL pipeline just isn't fast enough. Spark Streaming is an incredibly powerful realtime data processing framework based on Apache Spark. It allows you to process realtime streams like Apache Kafka using Python with incredibly simplicity.
It is a beginner level talk
Review 6 top supply chain planning deals or projects in past 2 decades
Top take away on decision making
Pitfall and success facts on each project implementation
Define new business environment of enterprise
supplier see needs from customer
customer side request solution responding faster and wide coverage
Define new drivers on supply chain projects next decade
THERE IS SOME NEW MODEL INVOLOVED
OPEATIONAL NEEDS ON NEW KPIS
OR EXPERTS INVOLOVMENTS NEEDS
MODELING TOOLS IS KEY
Introducing my position on BLT fusion with my SCM SaaS, and also had general story on BTC and BLT, then discuss the business model i planned. finally discussed on FIAT currency and our credentials and legacy IP. stategy on BLT technology
Introducing my position on BLT fusion with my SCM SaaS, and also had general story on BTC and BLT, then discuss the business model i planned. finally discussed on FIAT currency and our credentials and legacy IP. stategy on BLT technology
5. “The U.S. stock market (is)
a class system, rooted in
speed, of haves and
have-nots. The haves paid
for nanoseconds; the have-
nots had no idea that a
nanosecond had value.”
- Michael Lewis, Flash Boys
6
16. “Everyone has a plan until
they get punched! ”
- Mike Tyson
Major disruptions
CHALLENGE #2
17
17. “Everyone has a plan until
they get punched! ”
- Mike Tyson
Buzz Lightyear effect
CHALLENGE #3
“To infinity and beyond!”
(infinite options of course)
- Buzz Lightyear
18