Convolution Neural Networks (CNNs) simplified for Supply Chain executives ” The invention of convolutional neural networks (CNNs) applied to vision represents by far one of

Exploring simplicity in complexity
Convolution Neural Networks (CNNs) simplified for Supply Chain executives ” The invention of convolutional neural networks (CNNs) applied to vision represents by far one of
Scenario Let us assume that we have a Fashion apparel company that manufactures 11 different SKUs using different production lines. Each production lines produces discrete
“When the wind of change rises, some people build walls while others erect windmills” – Old Chinese saying We are swamped with Analytics consulting companies
Smart manufacturing initiatives are not just about factory floors. Its positive impact will propogate across related functions, as overviewed below: Marketing: Marketing will be able
Your Journey towards a “Smart Enterprise” It is not news by now that AI is a critical component in helping organizations transform the way they
Introduction Developing Manufacturing 4.0 capabilities does not happen overnight. Lot of groundwork needs to be done in order to create the foundational infrastructure. However, that
Helping a Logistics Company save millions on future maintenance costs In August this year, someone in my network who works as a Data Scientist for
Millennials, Diversity and Disruptive Technologies If I were to highlight one, single most important trait of the group of people known as Millennials, it will
Introduction Deep learning algorithms have many applications in Manufacturing analytics domain. The core of Smart factories, in my perspective, is embedded in the right and
Teams exist to create a unified amalgamation of various skills The reason teams exist is because it is supposed to bring people of varied skill
On Edge Analytics will drive Industry 4.0 networks On-edge analytics are the newest class of analytics in the IoT but few of us know that
Although analytics should be agnostic with regard to how the data is fed to the platform, we have to consider several potential pitfalls that can affect the
Alteryx is a powerful tool for data blending, data cleansing, joining and aggregating data to help solve complex business problems accurately and quickly. This post
AI will help Manufacturing attain its eternal goal Manufacturing strategies have always strived to produce high quality products at a minimum cost. For many best
India missed the bus decades ago – I will let Statistics do the talking As you can see from the chart below, in 1987, GDP
Untapped Opportunities Galore As I have mentioned in many of my previous posts, Industrial equipment has been coming loaded with sensors for years now. The
Amidst all the hype around Industry X.0, you probably already know that implementing predictive maintenance capability has several advantages which include reducing machine downtime and
Trucking is a massive industry in US that affects virtually every American. Trucks move roughly 70 percent of the nation’s freight by weight, according to
It should be stale information to you by now that analytics can add value in a multitude of areas within your organization. This also extends
It is NOT just about Sensors and IoT Technology stack Unfortunately, many “experts” with limited understanding of Industry X.0 landscape may make you believe otherwise.
The first step in establishing a world class Inventory planning process is to evaluate your existing inventory planning process, technology and analytics capabilities to determine
The main goal of the inventory planning process is to provide the safety and sometimes cycle stock parameters to other planning functions, namely: 1. Production
Logistics has been redefined in last few years, bringing it to the forefront within the broader Supply Chain umbrella and resulting in a new interpretation
Executives and supply chain leaders face many challenges today in every aspect of their operations and enterprise integration. The following in my opinion are the
It will not be a surprise for anyone when I say that the world around us evolved at the fastest pace in this decade. The