Five Steps to Migrate Unisys Mainframes to AWS By Craig Marble, Senior Director of Legacy Modernization, Astadia Key Takeaways - Cloud providers like AWS have proven to be a viable option for running mainframe application workloads - The most effective method to exploit the value of Unisys mainframe applications and data is a transformative migration to modern systems frameworks in AWS, reusing as much of the original application source as possible. - Execute a discover, design, modern, test, and implement cycle to move mainframe applications. - Some mainframe migration tools can keep existing code in place, but expect to replace components and rethink data storage. The Mainframe Conundrum If you have a Unisys mainframe, you may be thinking that cloud computing isn't an option. You'd like to take advantage of all that cloud computing offers but don't think it's pos... (more)

The #LowCode Revolution Is Here to Stay | @DevOpsSummit #CloudNative #DX #DevOps

Build or Buy Is Passe - The Low Code Revolution Is Here to Stay The year 2017 so far has been the year of digital transformation with cloud, IoT, APIs and low-code application development gaining focus. Companies that build Low Code Platforms and help organizations build business applications are beginning to see these technologies scale up. The low-code platform market is expected to scale up to $20B by the end of the decade, says Forrester.  So since a lot of business enterprises across the globe have been talking about this low code revolution we will delve deep into the realms of this application development methodology and its role in digital transformation. Let’s look at some of the common queries that surround low-code platforms and their usability. How are low-code platforms solving enterprise IT challenges and   help in ushering digital transformation? Wha... (more)

[slides] Analytics and #FinTech | @CloudExpo #AI #ML #DL #DX #API #DigitalTransformation

Download Slide Deck: ▸ Here Download Slide Deck: ▸ Here How Data Analytics and Cognitive Computing Are Changing the Game for Financial Services Historically, some banking activities such as trading have been relying heavily on analytics and cutting edge algorithmic tools. The coming of age of powerful data analytics solutions combined with the development of intelligent algorithms have created new opportunities for financial institutions. Download Slide Deck: ▸ Here In his session at 20th Cloud Expo, Sebastien Meunier, Head of Digital for North America at Chappuis Halder & Co., discussed how these tools can be leveraged to develop a lasting competitive advantage in priority areas: customer analytics, financial crime prevention, regulatory compliance and risk management. Download Slide Deck: ▸ Here Speaker Bio Sebastien Meunier is an expert in Innovation in Fi... (more)

[session] @Schmarzo's Economic Value of Data | @CloudExpo @DellEMC #BigData #Analytics

Determining the Economic Value of Your Data Organizations do not need a Big Data strategy; they need a business strategy that incorporates Big Data. Most organizations lack a road map for using Big Data to optimize key business processes, deliver a differentiated customer experience, or uncover new business opportunities. They do not understand what's possible with respect to integrating Big Data into the business model. In his session at @BigDataExpo, Bill Schmarzo CTO, Big Data Practice at Dell EMC, will discuss the transformative potential of Big Data and offers an overview of the Big Data Business Model Maturity Index, a guide for helping organizations understand where and how they can leverage data and analytics to power their business models. He will also explain how to apply economic and data science concepts to quantify the economic value of the organizatio... (more)

IBM Named "Diamond Sponsor" of @CloudExpo | #CloudNative #Serverless #DevOps #AI #DX

SYS-CON Events announced today that IBM  has been named “Diamond Sponsor” of SYS-CON's 21st Cloud Expo, which will take place on October 31 through November 2nd 2017 at the Santa Clara Convention Center in Santa Clara, California. Hybrid Cloud Transformation: New Platforms, Technologies and Solutions View Keynote ▸ Here Download Slide Deck ▸ Here In an era of historic innovation fueled by unprecedented access to data and technology, the low cost and risk of entering new markets has leveled the playing field for business. Today, any ambitious innovator can easily introduce a new application or product that can reinvent business models and transform the client experience. View Keynote ▸ Here Download Slide Deck ▸ Here In their Day 2 Keynote at 19th Cloud Expo, Mercer Rowe, IBM Vice President of Strategic Alliances, and Raejeanne Skillern, Intel Vice President of D... (more)

Chatbots Are Here | @ThingsExpo #AI #DX #IoT #M2M #CognitiveComputing

Chatbots Are Here, and It Is Just the Beginning By Mark Troester Chatbots are the next big thing, but there’s always another big thing coming. Prepare for the future with a flexible architecture that’s ready for everything. Chatbots are growing rapidly in popularity and adoption, but while more and more organizations are beginning to see the potential, far fewer have developed a concrete strategy for them. Major companies are experimenting with the AI behind chatbots though (with varying degrees of success, such as Microsoft’s Tay.ai and Facebook’s recent conversing bots), and it’s easy to find coverage about the promising future of chatbots and enthusiastic statistics such as how 80% of businesses want to use chatbots by 2020. Clearly, it’s an important technology that business leaders need to plan for. However, there’s a bigger story here, and that’s that the app... (more)

Patterns, Platforms and Automation in #DigitalTransformation | @CloudExpo #DX #IoT #SmartCities

Any significant business process that can be documented and best practices identified - will be.  Any defined process that can be standardized - will be.  Standardized processes that can be codified and automated (through robotic software automation), will be - if the volume justifies it.  If the process is repeatable across many companies it will be offered as a shared service on a platform in a cloud. If you agree with these technology maxims, then you are likely to agree that most existing business processes offer little competitive advantages in the long run, and the advantages of new innovations are fleeting so must be captured early.  They will eventually become part of a shared services platform followed and used by your competitors.  For example, 20 and 40 foot shipping containers offered a competitive advantage for shipping companies and ports that were ea... (more)

Brain Change and #DigitalTransformation | @ThingsExpo #IoT #API #AI #DX #SmartCities

The renowned military strategist John Boyd taught that people and institutions collect favorite philosophies, strategies, theories and ideologies over a period of time, and then try to align the future to fit them.  The problem with this is the future is rarely like the past, and trying to fit new data into old paradigms often forces us to perform irrational mental gymnastics, which leaves us farther from the truth. Our resistance to change and unwillingness to question our beliefs in the face of mounting evidence, leads us to analytical and execution failure. A more productive habit would be to continuously review our mental constructs to find out how to modify our interpretations to align with new evidence.  This action, however, goes against our human nature that seeks stability and resists change.  We see the consequences of these challenges weekly as we read a... (more)

[session] #Serverless ML Operations | @CloudExpo #MachineLearning #IoT #AI #ML #DL #DX

Serverless Machine Learning Operations Any startup has to have a clear go -to-market strategy from the beginning. Similarly, any data science project has to have a go to production strategy from its first days, so it could go beyond proof-of-concept. Machine learning and artificial intelligence in production would result in hundreds of training pipelines and machine learning models that are continuously revised by teams of data scientists and seamlessly connected with web applications for tenants and users. In his demo-based session at 21st Cloud Expo, Stepan Pushkarev, CTO of Hydrosphere.io, will walk through the best practices for simplifying machine learning operations across the enterprise and providing a serverless abstraction for data scientists and data engineers so they could train, deploy and monitor machine learning models faster and with better quality. ... (more)

TechTarget: #CognitiveComputing at @CloudExpo New York | #AI #ML #DL

What is cognitive computing, and how is it alike -- or different -- from artificial intelligence (AI)? Judith Hurwitz: What's key in building traditional systems is that they begin with process and logic, attempting to answer the question, 'What am I trying to do for my business?' You develop the logic, write the code and then flow data into that. That doesn't work in this age of digital transformation, where business logic and processes are constantly changing. In a cognitive approach, you lead with the data and let it drive you to the right logic. This is a very different way of approaching computing. In addition to data helping determine the logic, cognitive computing applications are designed to learn from human experts. Read TechTarget's review here. @DevOpsSummit at Cloud Expo taking place June 6-8, 2017, at Javits Center, New York City, and is co-located w... (more)

DXWorldExpo to Sponsor @CloudExpo | #AI #DX #IoT #FinTech #SmartCities #DigitalTransformation

SYS-CON Events announced today that DXWorldExpo has been named "Global Sponsor" of SYS-CON's 21st International Cloud Expo, which will take place on Oct 31 - Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. The Key to IT Business Digital Transformation is the key issue driving the global enterprise IT business. Digital Transformation is most prominent among Global 2000 enterprises and government institutions. Global 2000 Global 2000 companies have more than US$40 trillion in annual revenue - more than 50% of the world's entire GDP. The Global 2000 spends a total of US$2.4 trillion annually on enterprise IT. The average Global 2000 company has US$11 billion in annual revenue. The average Global 2000 company spends more than $600 million annually on enterprise IT. Governments throughout the world spend another US$500 billion on IT - much of it ... (more)