Building Enterprise Apps with K2 and Office 365

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In this session, we will cover how to think about moving from siloed applications to business solutions based on Microsoft Cloud Productivity services.

During this presentation, we will be showcasing the K2 workflow process showing the list of technology use in an account onboarding scenario.

During the webinar, Igor will be demonstrating a technology fuelled new staff onboarding process using the following technologies:

• Microsoft Yammer
• Microsoft Planner
• Microsoft SharePoint
• Microsoft Dynamics 365
• Microsoft Flow
• DocuSign

Don’t miss this session. We also showcase the new K2 App Wizard and SmartStarters capability – Read More

Deep Dive: Document Collaboration with external Parties with O365

 
Does the following sound familiar?  You email out a PDF document.
The client prints it, scans it and emails it back; You need more information, so you do it again;
Nobody has visibility of the process internally, documents are everywhere; all this costs time and money!
During this live webinar, we will be demonstrating how easy it is to improve customer service with document sharing.

Register now to see how to:

  • Manage and collate feedback on documents which can then be archived in a SharePoint Library and/or your Records Management platform;
  • Report on customer interaction with tasks, reminders and notifications via email and text messages;
  • View and sign contracts, exchanging NDA agreements, letters of engagement or collaborating on documents in a consortium scenario; and
  • Collaborate within your SharePoint environment with external users whilst maintaining your SharePoint security

Creating the Data Ecosystem for Your Transition to an AI World

When Alan Turing was developing the Turing Test for determining machine intelligence—what we today refer to as Artificial Intelligence (AI)—he first posed the question, “Can machines think?” At the time, this seemed preposterous, but technology advances in recent years now have us asking a similar question: “Can machines learn?” The answer is “yes,” as long as we supply them with enough of the right kind of data.

Click here to read the whitepaper, Creating the Data Ecosystem for Your Transition to an AI World

This ability to learn is a specific, data-oriented form of AI that has the power to dramatically increase productivity and streamline business processes. Companies are increasingly looking to AI and specifically machine learning (ML) as a way to improve their businesses. While many of these applications are still in the early developmental phases, companies must prepare now in order to successfully implement AI and ML in the future and take full advantage of the power of this technology. Specifically, organisations need to establish the data ecosystems today that will become the foundation of ML applications, training models and business process development in the future.

Machine learning analyses data flow in the enterprise. Anticipating this eventual capability, the most critical issue is how companies prepare the data that will be used as the basis for machine learning. Data scrubbing and formatting is one of the greatest challenges in implementing AI so companies should adopt clean data format methods now.

To address this challenge, IT and the lines of business need to organise around a specific business problem they are trying to solve. Defining that specific problem creates a direct correlation between the input, its format and shape, and ultimately the decision output. Therefore, understanding the outcome and the kinds of decisions that need to be made will determine which data sets you use and how you need to scrub, transform or clean them.

Looking ahead into 2018 and the next few years, there are three steps companies looking to power their process optimisation efforts with AI must take:

  1. Look for “low-hanging fruit” opportunities where AI can make a difference and good, clean data is readily accessible.
  2. Build a solid technical infrastructure and invest in developing the digital assets for collecting and organising the data needed for AI and machine learning.
  3. Invest in a common platform that allows IT and the lines of business to collect and clean the data that will be used to build the training models for machine learning.

A comprehensive process automation platform can help businesses address all three of these steps and businesses who use one to make sure they are ready for AI- and ML-enabled applications often fall into one of three categories – each with its unique challenges:

  • New user with existing LOB data
  • New user with no existing LOB data
  • User with an existing platform and an existing data repository

Want to determine where on the spectrum your company falls and how to make sure you are best poised to transform business process management with emerging technologies?

Read the white paper, Creating the Data Ecosystem for Your Transition to an AI World

Meeting of the Minds – Hunter Valley Region

Do you still have manual or ineffective processes in your business?

Are you realising the dividends from your digital transformation investment?

Join us as we hear from one of the leading manufacturer’s in the Hunter region who are realising the rewards of their investment in process automation by improving the visibility of employee safety, reducing the organisation risk profile, and enabling a mobile workforce.

7:45 am – Registration and Arrival

8:00 am – Welcome and Introduction

Tony Roupell

BPA Practice Manager

Definiti

8:05 am: Life Savings Controls – Process and Visibility to the Rescue

Charmaine Underwood

EHS Systems Officer

Tomago Aluminium

8:20 am: K2 Technology Showcase – Driving Process Visibility and Insights to help you make Effective Business Decisions

Igor Jericevich

Process Evangelist

K2

9:00 am: Question and Answer – Panel Discussion

Panel – Tony Roupell, Charmain Underwood, Igor Jericevich

9:15 am Networking

Join K2 at the Velrada V:Inspire Roadshow

In April 2018, Velrada in partnership with K2, will be holding our Annual Microsoft Focused Event, V:Inspire™ around Australia.

The purpose of which is to “Inspire” each other to innovate and deliver powerful new technology solutions with our customers.

During this workshop, K2 partner Velrada will introduce you to the wonder of Artificial Intelligence and Bots and the potential that AI offers for business and productivity and process improvement.

Don’t miss out on this unique half-day event!

Perth – Friday, 9th April 2018 
Melbourne – Friday, 13th April 2018
Adelaide – Friday, 20th April 2018
Sydney – Friday, 4th May 2018

AI in the Workplace

AI Is Everywhere, Even in the Workplace

Today the phrase Artificial Intelligence (AI) still conjures up images of robots that look and talk like humans and the notion of using an optical scanner to start your car instead of a key or button. In reality, AI is a technology we all interact with at some level every single day.

View this infographic to see how businesses like yours use AI to help make critical decisions and solve problems.

Prepare Today to Transform Your Business Processes with Artificial Intelligence

Artificial intelligence (AI) is often considered to be the future of computing and possibly the greatest driver of innovation in the next decade. Already it is showing up in autonomous vehicles, voice-controlled digital assistants and devices with facial recognition. But this is only the beginning. AI’s power to support human knowledge and ingenuity and change our perception of business challenges is game-changing when we look at how it can be applied to processes throughout an organization.

In many ways, AI is a natural partner for business process management efforts. AI can help automate routine tasks, improve user interfaces and analyze huge amounts of data. McKinsey & Company estimates that AI can automate as much as 45 percent or more of any particular job – allowing workers to focus on higher level, mission-critical activities.

Let’s look at two examples already in use. AI-driven natural language interfaces make interacting with applications easier and speed up many of the individual steps within a process just by understanding the words spoken and the context of the request. For example, natural language processing can allow doctors to dictate clinical notes into a device, which then automatically populates appropriate forms, lab orders, and prescriptions. Or it can summarise long blocks of text from medical journal articles or studies by identifying key concepts and phrases.

Machine learning, a component of AI, analyses and identifies patterns within vast amounts of data by iterating through the data to identify relationships between data and the resulting decisions made from the data. With each iteration, the system acquires a deeper understanding of why decisions within an organisation are made and apply statistical analysis to develop rules around these decisions. In the case of a complex area of business activity, supply chain management, machine learning can do things like predicting when stock will run out or recommend which products are at a surplus and automatically reduce their price to clear inventory.

As you can see, AI is starting to play a significant role in process automation and optimisation efforts. More importantly, as the adoption of AI technologies become even more widespread, they will become easier to implement and have more applications within business process management.

Looking to determine where on the spectrum your company falls and how to make sure you are best poised to transform business process management with emerging technologies? Read the white paper, Prepare Today to Transform Your Business Processes with Artificial Intelligence.

KOOS DU PREEZ, CHIEF TECHNICAL OFFICER

Australian industrial services company overcome inefficiencies incurred by using manual processes

This industrial services company tried to automate their processes and workflows using traditional .NET development. Instead of showing improvement, however, the existing processes proved to be problematic and time-consuming. Thousands of employees had to submit training requests, which meant chasing approvals and additional supporting information for each step.

“Even though we had digitised our hardware request forms and system access form requests, modifications could not be handled in the system. We would need to change the original document, create the PDF and publish it on our intranet. Our employees would download, print, fill out, get them signed, then scan them to send to the service desk,” said the IT applications and development group manager.

In short, the existing systems were labor-intensive, slow to develop, prone to errors and difficult to troubleshoot. The company abandoned their .NET attempt after six months with no progress — and decided that there had to be a better way.

“After seeing what K2 can do, we knew this is what we were looking for,” continued the IT applications and development group manager.

Download the full case study here

On Demand: Manage your document control and lifecycle process with Office 365

 

 

Nobody has visibility of the process internally, documents are everywhere; all this costs time and money!

Business processes are not always clear or adequately communicated to staff. Processes that require approval from multiple areas are often manual, paper-based and dependant on a user to action items in a timely manner.

During this live webinar, we will be demonstrating how easy it is to improve employee experience with quality document control and lifecycle management.

Watch the video, to see how to:

• Collaborate with your SharePoint environment with tasks, reminders, and notifications via email and text messages
• Manage document compliance with rule-based naming conventions
• Document workflows that require multi-touch approvals which are often manual and time-consuming
• Auto-generate documents based on controlled business data
• Eliminate the need for multi (SharePoint) content types

Document control Workflow is often more complex than you think. Learn how K2 BPM can support your complex business scenarios with ease.