IN2ACTION

Robb Bush was the founder and CEO of “IN2ACTION” – a new venture backed by i2 Technologies.
IN2ACTION provided world-class Interactive Design and Implementation services for online B2B eMarketplace solutions.
In addition the company developed Enterprise Portal software that provided a unified and role-based user experience of multiple applications and data sources.

Primary Role: VP & GM
Secondary Role(s):

Business Driver(s): Capture Market Opportunity
Results & Benefits:

Time Range: 1999-2001

Class: Company

Prodika Material Sourcing Visualization

As part of a larger application ad deliver project Robb design specialized Data Visualization of large / complex data sets.
In this case the subject is Raw Material sourcing relationship to different suppliers and locations
While the design worked well for on-screen display, the customer enjoyed the wall sized poster printouts!

Primary Role: VP Marketing & Alliances
Secondary Role(s): Visualization Designer

Business Driver(s):
Results & Benefits:

Time Range: 2005-2005

Class: Product

SAP IOT – Product-Centric-View (PCV)

The 1992 a Harvard Business Review article entitled “Staple Yourself to an Order” helped to illustrate the customer-centric impact of all processes from the time an order is placed, to fulfillment of the order. Every touch point of the order management process – touches the customer to some degree.
So, what does it mean when every touch point also has an impact on the near and/or long-term performance and profitability of your products and services? the following examples are intended to illustrate various “product-centric” activities that affect a product or service’s overall lifecycle cost, profitability, and ultimately – market success.
This presentation explores the benefits of incorporating transformational “product-centric” applications of cross-functional information and services into everyday activities across diverse business functions and roles – and not just in the context of a single application or module.

Primary Role: Sr. Director – Solution Management
Secondary Role(s):

Business Driver(s): Capture Market Opportunity
Results & Benefits: Improved Market Perception

Time Range: 2006-2008

Class: Project

SAP PLM – Contextual Analytics

Robb was the product “owner” for SAP’s first “embedded analytics” solution that presented contextual analytics related to the business object (eg Project, Order, Customer, Item, etc). This capability shipped with SAP Business Suite 5.
With SAP’s acquisition of Business Objects, additional tools became available. Robb led the specification and development of Dashboards for analyzing Product and Service performance.

Primary Role: Sr. Director – Solution Management
Secondary Role(s):

Business Driver(s): Capture Market Opportunity
Results & Benefits: Improved Customer Enthusiasm

Time Range: 2008-2009

Class: Product

One Network 3D WMS / Dock / Yard

ONE Network 3D WMS Game Development
NAVIGATION – GETTING AROUND
– Between Levels
– Between Sites
– Assets
– Within Charts

OBJECTS (3D Models)
– All are Data-Driven to change shape (dimensions), color, or location (time & space)
– Sites / Buildings
– Physical Assets (containers, assembly lines, material, vehicles)
– Charts / Analytics

LEVELS
– Network Level View
– Corporate Level View
– LoB Domain Level View (My Locations)
– Site / Inside View
– Warehouse

3D Warehouse Mgmt

Show “Virtual Buffers” in 3D Warehouse
 – Receiving
 – QA
 – Storage
 – Staging

Drag and Drop from Storage to Staging (creates a pick-list)

“Level 6 Data” Where is it, what asset, how many, what order

GENERAL NAVIGATION
Navigation from Corp Level

from Inbound Docks / Yard
to
Warehouse (move something from Storage to Staging)
to
Outbound Docks / Yard
 – Ability to show resources form multiple locations in a single view
Asset View

GAME MECHANICS
 – Purpose / Objective for Player
 – Gain Points, Health, Badges, Unlock New Features / Levels

MULTI-PLAYER COLLABORATION

OVERALL SCENE
 – Add Timeline to Lanes
 – Navigator Menu – Jump to Top View, Side View, Reset View
 – Zoom In Out (Stay in Isometric mode)
 – Drill Down from a Higher Level to this DC level

APPEARANCE OF OBJECTS

Data to Define the Material (Object)
 – Dimensions (Different representations from being a “Trailer” to how it looks in timeline)
 – – Container (H=Fixed, W=Fixed, Length=53, 40, 24)
 – – Container ON Timeline (H=Fixed, W Fixed, Length=Duration on Schedule)
 – Color
 – Labels / Graphics (eg JB Hunt as Text or Logo)

Data to Define the Capacity (Lane)
 – Dimensions, Color of the Lane
 – Segmenting (Schedule States, Occupied, Maintenance, Open)

INTEGRATION

Writing to and from sample Data?

Primary Role: VP Product Management
Secondary Role(s): Designer

Business Driver(s):
Results & Benefits:

Time Range: 2014-2014

Class: Product

AI: a paradigm-shift for software?

In his landmark book “The Structure of Scientific Revolutions”, Thomas S. Kuhn introduced the concept of the paradigm-shift, which is a fundamental change in the way that we view and approach a particular problem or field.

For there to be a shift, the new paradigm:

  • explains previously inexplicable phenomena
  • resolves inconsistencies in the old paradigm
  • fundamentally changes the way we approach the field

Today, we are witnessing another shift in the computing paradigm with AI making it easier and faster to create code, automate tasks, and more – and improving itself at an accelerating pace. Like other paradigm-shifts in computing, it is also enabled by the predictable increase in computing power (Moore’s Law). In addition, there is a ‘stacking’ or multiplier-effect of AI-oriented computing capabilities – that may prove to scale or multiply in a similar way.

Will AI-oriented computing be a true paradigm-shift, or simply a continuation of the current paradigm?

There is a striking fundamental difference from the current paradigm of humans writing code to explicitly define the steps a computer should take, to a potentially new paradigm of algorithms and models that learn and make decisions based on data and objectives.

The AI-oriented computing paradigm can explain things that were previously inexplicable and it can resolve many of the inconsistencies and inefficiencies of the current paradigm.

Perhaps most importantly, AI has the potential to enable new applications and solve problems that were previously impossible or impractical to address using traditional methods.

More broadly, a true Kuhnian paradigm-shift is NOT just ‘new technology or breakthrough’, but must include:

  • a change in the way we think about and approach computing as a whole
  • a shift in the underlying assumptions and concepts that guide our understanding

My Take

The current trajectory of AI-oriented computing is approaching a new paradigm.

AI-oriented computing could fundamentally change the way that we think-about and approach what we currently call the ‘software design / development / maintenance’ process – and towards new-thinking and approaches that are not centered on ‘the code’, and the multitude of tasks and human-efforts around it, that we see today.

I anticipate the new paradigm will be increasingly interdisciplinary – where the definition, purpose, and process of what we call ‘software’ today, will become more inclusive across disciplines and domains, with an increasingly broad span of capabilities; from the most ephemeral / esoteric personal use such as, ‘l need a one-time app composed for what I am doing today’ – to running the most sensitive and mission-critical business functions such as ‘execute according to required policies and business objectives’.


What do you think?

Will AI-oriented computing be a new paradigm, or is it simply a continuation of the current paradigm?