.Net Conference 2019 Meetup | Infogain

Join us for a meetup hosted by Infogain’s S. Ravi Kumar, founder of NCR Xamarin & Cloud Techies group, where you will get to learn about:

  • All new announcements made during this years .Net Conference
  • Applicability & benefits of newly launched frameworks and features
  • Demos of some new frameworks & features

Sign up HERE to attend! Limited seats only!

10:15 AM Registration
10:30 AM Highlights of .NET Conference by S Ravi Kumar
11.15 AM DevOps for .NET developers by Abhishek Maitrey
12:00 PM Break
12:15 PM Serverless architecture on Azure by Alok Bhatnagar
1:00 PM Building FullStack C# Web Apps with Blazor in .NET Core
3.0 by Abhishek Sidhhu & S Ravi Kumar

Venue:

 A-16, Sector 60, Noida,
Gautam Budh Nagar, 201301 (U.P.)
+91 12 0244 5144
info@infogain.com

 

THE CHURCHILLS 2019

Join Infogain for “THE CHURCHILLS 2019,” the annual premier event, hosted by the Churchill Club on Thursday, September 12th at the Hyatt Regency in Santa Clara.

Please nominate yourself to attend, register HERE.

Infogain recognizes excellence in innovation, leadership, collaboration and societal benefit for the purpose of inspiring others to positive action. The honorees were nominated by their contributions in four areas of excellence. In the spirit of “giving back,” they will share their perspectives and insights for contributing to the greater good.

THE CHURCHILLS 2019 | THURSDAY, SEPTEMBER 12, 2019
Time: 5:30 PM – Registration/check-in
6:00 PM – Dinner
7:00 PM – Program begins
9:00 PM – Program concludes
Location: Hyatt Regency Santa Clara, 5101 Great America Parkway, Santa Clara, CA 95054
Speakers: Game Changer—Peloton & Slack
Magical Team—Zoom
Local Benefactor—Carl Guardino, SVLG
Legendary Leader—John Thompson, Lightspeed Venture Partners & Microsoft

Project Management | Response Planning, Analysis and Behaviors Key To Risk Management

Authored by Mohd. Adnan Shamsi, Program Manager

We know that every project has certain risks associated with it. A ‘risk’ or ‘project-risk’ is an uncertain event or condition that could influence one or more project objectives. It is prudent to identify all potential risks at the time of kick-off to ensure delivery of the project. Risk management is crucial and imperative for project success. Early identification of risks and its management on a project includes planning, analysis, response planning and behaviors needed to control risks. The ideology is simple because when a risk can be identified at the early stage, it can be mitigated; ensuring successful project deliveries.

Assessing risks at the start of a project is efficient and gives managers better control. Risk Management planning helps determine each risk and its impact, and risks are relative to a project. Any risk that is detected will affect the productivity of a project.

Potential risks could come from:

Requirement Instability – Introduces new requirements halfway through a project, reviews plans at a slower pace, causing delay. They may introduce something that could impact the estimated schedule, delaying the deliverables. The customer may also be unhappy with the quality of planning, expectation management, communication, efficiency, budgetary control etc.

Schedule – Identify the project activities at granular level, arrange these with correct sequence and build right dependencies within these.  Any unfamiliar part of the product not in the plan will disturb the schedule. Additionally, missing important tasks, lack of baselines and unexpected vendor delays due to labour dispute, supplier bankruptcy, etc. can impact the project schedule.

Quality – Non-adherence to specifications can cause failure if the quality does not adhere to the required specifications. In addition, the quality of certain products or services may not equate with the fulfilment of a certain specification as determined by the customers’ needs.

Effort – Inaccurate effort estimates can be risky, so it is important to focus on the intended improvement plan to eliminate/ minimize risks. Changes in line requirements during a project might lead to extra effort or delays.

Margin – Managing the budget is one of the most important aspects of risk-based approach and any impacts must be flagged immediately and managed. Lack of proper planning could lead to poor cost estimation and inaccuracies.

People – Non-availability of resources as per a resource plan will impact delivery. The available resources include inadequate skills or inexperience required for the execution of a project.

Based on the list of potential risks, a project manager must understand the key properties of risks, such as:

  • Strategy: Risks need to be identified early on and assigned an owner to lead its resolution. The risk must be accepted, avoided or minimized. Avoidance and reduction of risk means you can change the plan entirely and strategize according to potential risks.
  • Visibility: Risks are better identified when there is clear visibility on how a project is performing and what level of risk might be involved throughout the project.
  • Possibility: The level of each risk differs, with different dependencies and the magnitude of one risk may differ from the other. A project manager must focus on the possibility of risks and their occurrence.
  • Impact: A risk may not be certain, impacting the project at various levels like project, division, program or even organizational.
  • Costs: In case a risk occurs, its costs in terms of project, division, program and organizational level must be ascertained and necessary actions must be taken.

Once all risks have been identified and their properties determined, a ‘Risk Assessment Plan’ is readied for kick-off, which focuses on series of action that are planned to avoid the risks. The document addresses three key questions:

  1. Who is the owner of the risk?
  2. Should the risk occur, what is the estimated time needed for closure?
  3. Regular checks or status updates.

The mission of risk-based project management is successful project delivery. Once the risks are identified, they can have owners across the organization from Executive to a Project Manager to a Global Delivery Head.

Risk planning is essential to successful project deliveries and with off-the-shelf tools and solutions such as Planview or SpiraPlan available, this can be done easily enough. Infogain drives business outcomes with our emphasis on high-quality, on-budget, on-time delivery of projects.

Fostering Highly Productive & Efficient Teams with Extreme Programming (XP)

Authored by Nitin Shrivastava – Technology Advisor & Rashmi Gupta – Program Manager 

Extreme programming (XP) is one of the most important software development frameworks of the Agile model. When it is used to improve software quality and responsiveness to customer requirements, XP is an efficient way to organize projects and develop software and collaborate on code and how best to increase developers’ productivity.

The principles of XP are centered on customer satisfaction and empowering developers to confidently respond to dynamic customer requirements, however late in the development cycle. XP is team oriented; it implements a simple, yet effective environment enabling teams to become highly productive and efficient.

Extreme programming’s basic functions and activities include:

  • Code Review detects and corrects errors efficiently. It suggests pair programming as coding and reviews the written code carried out between a pair of programmers who switch their work every hour.
    • Pair programming helps with hotfixes that need to be released immediately and new feature development where complex business rules are to be implemented. It helps new team members understand the application code faster and become more productive.
    • Daily group reviews ensure the new additions to the codes are as per the coding standards and the changes do not adversely impact other areas of development lifecycle.
  • Testing codes check for errors and improves its reliability. XP promotes Test-Driven Development (TDD) to continually write and execute test cases. In the TDD approach, test cases are written prior to the code. The TDD approach in insurance project helps to find complex business scenarios which can impact other business rules.
  • Incremental development proves very effective specially after a customer feedback when the development team adds new increments every few days after each iteration.
  • Simplicity makes it easier to develop good quality code, to test and to debug it.
  • Design is the most important component to developing a good quality
  • Integration testing helps with identifying bugs at the interface of different functionalities. XP recommends that developers follow continuous integration by building and performing integration testing several times a day.
    • Dev/QA environment is regularly updated to help the team test in a production environment with data and the new code base.
    • Sandbox environments are provided for the team to quickly create an integrated testing environment with the latest code, so developers can test the code within sprint cycles.

While there are several advantages of following an extreme programming framework, it is important to ascertain a company’s size, structure and expertise base to allow for applying XP practices. Some factors to consider include:

  • XP was designed to help development teams adapt to fast-changing requirements, making it suitable for the ‘highly adaptive’ software development style.
  • The projects are risky, perhaps a shorter deadline to be met, problems connected with working on a new system; XP practices are most adept with handling these.
  • Team size is essential to successful XP implementations. A team of 12 or less is typically efficient for XP.
  • Developers’ ability to create and run unit tests, automated testing.
  • XP is customers centric, requiring customer participation to work with developers and managers side-by-side. It is mandatory that the client be available in the same office.

 

Extreme Programming is for the team that defines collaboration and continuous development with high importance. XP ensures a healthy product because it anticipates errors, is highly adaptable and requires ongoing feedback from customers.

For questions and comments, or to speak to an expert, contact us here.

Infogain & Zinnov Joint Roundtable: Emergence of Platform Business Models

Emergence of Platform Business Models: Accelerating towards Industry Dominance

Infogain & Zinnov Joint Roundtable | July 31, 2019

Platform-led transformation is radically changing the way enterprises conduct business. Enterprises, large and small, are under immense pressure to differentiate themselves in an ecosystem inundated with innovative ideas and disruptive use of new age technologies. The platform economy has grown by leaps and bounds in the last decade or so, with ‘platformization’ emerging as a critical part of any digital business strategy.

To address this topic, Infogain and Zinnov will host an interactive roundtable discussion, “Emergence of Platform Business Models: Accelerating towards Industry Dominance,” at the Santa Clara Hyatt Regency on July 31, 2019, 3:00pm-6pm PDT.  Attendees will:

  • Learn from business leaders, technology experts, industry veterans and influencers about strategies for successful adoption of the platform business model.
  • Discuss and debate key areas such as benefits of transformational platform-led business models, potential challenges in the adoption journey and best practices.
  • Hear from their peer’s experiences; their challenges and success stories.

Speakers:

  • Nishith Mathur, Chief Solutions Officer
  • Pari Natrajan, Co-Founder & CEO, Zinnov
  • Infogain & Jitender Sethi, VP, Infogain

This invitation-only event will host 20+ senior Product Engineering practitioners, and IT leaders driving technology-related initiatives within their organizations.

For more information or an invitation, contact us at events.us@infogain.com

No Code Machine Learning Solutions with AWS

Authored by Sanveer Osahan, Software Engineer

Machine Learning (ML) has emerged as an exciting and new technology for many industries, however, it can be complex and difficult to understand. The fast growth of ML has created a demand for off-the-shelf applications that are simple to use, without requiring expert knowledge. The off-the-shelf “AutoML” automates the end-to-end process of applying ML to real-world problems and improves efficiency by accelerating research on ML.

Amazon Machine Learning (Amazon ML) is one such player in the market, who are promoting ML development and adoption in cloud-based Auto ML processing models. AWS launched its ML services in 2015. It announced many AutoML capabilities such as Amazon Rekognition, Comprehend and Translate services at re:Invent 2018.

With Amazon ML, you can build and train predictive models, and host applications in a scalable cloud solution. The visualization tools and wizards available through Amazon ML can guide an individual through the process of creating a new machine learning model without learning complex ML algorithms and technology.

We have compiled several use cases and corresponding AWS ML services that are easily utilized for ML processing:

Use Cases Service Description Benefits
  • Customer Analytics: This insight can be used to
    improve product and services. This analyses customer
    interactions in support – emails, social media posts,
    online comments, telephone transcriptions, etc., factors
    that drive the most positive and negative experiences .
  • Knowledge Management: Organize and categorize
    documents by topic for easier discovery. Personalize
    content by recommending other articles related to the same
    topic.
  • Amazon Comprehend
    is a Natural Language Processing (NLP) uses machine
    learning to easily discover insights and relationships
    in text.
  • Amazon Comprehend is fully managed, with no servers
    to provision, and no machine learning models to build,
    train, or deploy.
  • Automatically extract key phrases, entities,
    sentiment, language, syntax, topics and document
    classifications with confidence scores.
  • No machine learning expertise required. You can
    simply provide your labels and a small set of examples for
    each and Comprehend takes care of the rest.
  • Voice analytics:
    Discover customer insights and improve contact centre
    performance.
  • Media & Entertainment:
    Automate closed captioning and subtitling workflows for
    greater accessibility.
  • Advertising:
    Improve user engagement by displaying relevant content
    and targeted ads to end-users.
  • Search & Compliance:
    Transcribe audio and video assets into fully searchable
    archives for compliance monitoring and risk management.
  • Amazon Transcribe
    is an advanced machine learning technology that
    recognizes speech in audio files and transcribes them
    into text.
  • Custom vocabulary:
    Upload a custom vocabulary to improve the accuracy of
    speech recognition for product names, domain-specific
    terminology, or names of individuals.
  • Speaker identification:
    Detect different speakers in your audio with high
    accuracy and confidence to produce intelligible
    transcriptions (“who spoke when”).
  • Streaming transcription:
    Transcribe audio to text in real time. You can send an
    audio stream and receive a stream of text in real time.
  • Product Demand Planning:
    You can forecast the appropriate inventory levels for
    your various store locations. Export your forecasts in
    batch in CSV format and import them back into your
    retail management systems so that you can determine how
    much inventory to purchase and allocate per store.
  • Financial planning:
    Accurate financial forecasting such as sales revenue
    predictions is fundamental to every business success.
    Amazon Forecast can forecast key financial metrics such
    as revenue, expenses, and cash flow across multiple
    time periods and monetary units.
  • Amazon Forecast
    builds forecasts using machine learning combining time
    -series with additional variables.
  • Amazon Forecast
    does not require ML experience. It requires historical
    data, and any additional data that may impact your
    forecasts. Once the data is provided, Amazon Forecast
    examines it, and automatically identifies what is
    meaningful, then it produces a forecasting model
    capable of making predictions.
  • Forecasts by Amazon Forecasts are up to 50% more
    accurate due to ML which automatically discovers time
    series data and other variables like product features and
    store locations, etc. that affect each other.
  • Immediate response for public safety and security:Create applications that help find missing persons in social media video content. By recognizing their faces against a database of missing persons that you provide, you can accurately flag matches and speed up a rescue operation.
  • Face-based user verification: Your applications can confirm user identities by
    comparing their live image with a reference image.
  • Amazon Rekognition
    is based on the same proven, highly scalable, deep
    learning technology developed by Amazon’s computer
    vision scientists to analyse billions of images and
    videos daily and requires no machine learning expertise
    to use.
  • You have to provide an image or video to the Rekognition API, and the service can identify the objects, people, text, scenes, and activities, as well as detect any inappropriate content.
  • Amazon Rekognition makes it easy to add visual analysis features to your application with easy to use APIs that don’t require any machine learning expertise.
  • Build automated document processing workflows:Provide the inputs required to automatically process forms without human intervention.
  • Maintain compliance in document archives:Automatic identification of data types and form label, enabling easy to maintain compliance with information controls. For example, an insurer could use Amazon Textract to feed a workflow that automatically redacts personally identifiable information (PII) for review
    before archiving claim forms by automatically recognizing the important key-value pairs that require protection.
  • Amazon Textract
    take out text and data from scanned documents, this
    extraction is done automatically.
  • No code or templates to maintain:
    Amazon Textract’s pre-trained ML models removes the need to write code for data extraction. Since the software already knows millions of documents from virtually every industry, including invoices, receipts, contracts, tax documents, sales orders, enrolment forms, benefit applications, insurance claims, policy documents and more, code maintenance is not needed for every document or form that is received. In addition, changes in page layouts over time are effortless. Extract data quickly & accurately: Amazon Textract makes it easy to quickly and accurately extract data from documents and forms.

 

 

To summarize, Amazon ML helps create meaningful insights from large data sets, generate billions of predictions and deliver them in real-time with a high rate of return. There are no upfront costs for AWS ML since the consumer pays per use only. This also facilitates starting small and scaling the application as the business grows.

Infogain counsels its clients in many industries in their decision between a variety of AWS service options, settings and configurations to deliver value to their business in a very short cycle, and scale per business needs.

We invite you to reach out to us at “digitaltransformations@infogain.com” for any questions on AWS AutoML solutions for your business.

 

Event | HPE Discover 2019

Infogain is extremely proud and excited to attend HPE Discover 2019 in Las Vegas for the first time.

This is a Hewlett Packard Enterprise event where technology is showcased for business and government customers and partners.  This is a three days event packed with action with to inspire and showcase tools to improve the strategy of the business to help it grow. It is dedicated to HP’s vision for the future, strategies and technologies and features the latest in Edge-to-Cloud, AI and security innovations, hands-on demos, thought-provoking sessions, networking opportunities and expert breakouts.

 

Name of attendees:

Anthony Sturgeon- Senior Vice President- Business Development

Prakash Velpula- Assistant Vice President- Sales

Event Details:

Venue: The Venetian Resort, Las Vegas

For more information or to connect with us, email us at Events.US@infogain.com

Is There a ‘Silicon Renaissance’ on the Horizon?

Authored by Cathy Chandhok, VP of Marketing

Every year I eagerly await the Top 10 Tech Trends event by Churchill Club, it is exciting and gives a slight peek into the future! I didn’t get a chance to attend this year, so I watched the event on YouTube instead.  The referee uniforms were great!

On a more serious note, Naveen Chaddha’s predictions about the renaissance of silicon were very interesting.  I had not previously heard much about DPUs, i.e. data processing units, which are chips that far outstrip traditional CPU performance for handling data intensive applications and large data streams such as Netflix, etc.  Perhaps Pradeep Sindhu’s Fungible will become one of the new industry giants Chaddha predicts will emerge; the abstract of the company’s DPU patent application (US Patent Application 20190012350) is a good read for further detail.”

Cathy continued, “Aside from DPUs, Chaddha mentioned two additional major trends in chips, namely the emerging development of chips specifically for ML and ultra-low-power chips for IOT applications.  This makes sense to me.  In fact, a report by Tractica indicates cloud-based AI chipsets will account for $14.6 billion in revenue by 2025.

I also agree with the event co-host Rich Karlgaard, who at the start of the evening mentioned the quiet rise of the enterprise software companies.  That did not end up coming up among the panelists, but I agree with Karlgaard that it is a non-obvious trend, and it seems like it may transform the silicon, software, and device marketplace.  The evolving chip market may further boost this trend: Apple has created its own chips for years, and Chaddha mentions that Google, Facebook and Microsoft have also started.  By creating their own chips these mammoth companies are increasing their competitive differentiation, reducing their reliance on suppliers, and further strengthening their already huge market power.

Another exciting trend was the ‘Rise of Functional Medicine’. Brian Ascher, while supporting this trend, mentioned the use of devices to measure blood sugar levels and coaches to help control Type 2 diabetes. We see a significant rise in healthcare products, such as Dexcom’s glucose monitoring device; launches in this category were also prominent at this year’s Consumer Electronics Show (check out our commentary on the best CES launches in our blog).”

Infogain is excited to work with our partners and clients on disruptive digital technologies that transform marketplaces, leverage platform technologies and reframe business processes.  As an example, we recently deployed and integrated an RPA Platform to Google Cloud for a world leading digital hospitality marketplace. As a part of the trend, we see many enterprises opt for cloud services and invest in a cloud strategy.

For more information, contact us at digitaltransformation@infogain.com

 

The Top Technology Trends | Churchill Club

In this fast-paced world, technology innovations are vital to the economic growth and enrichment of human possibilities. With this in mind, it is imperative to identify what new technology trends will emerge over the next several years and the outcome of their implications. This is a question Churchill Club’s popular Top 10 Tech Trends event has covered well over the years. This year, the 21st annual event was held on May 16th in Santa Clara, Californi. The attendees from Infogain included CEO Sunil Bhatia, Peter Shumaker, Tony Sturgeon, and their guests.

Founded by Rich Karlgaard, now publisher of Forbes magazine and Tony Perkins, former editor-in-chief of AlwaysOn, the Churchill Club adheres to the belief that igniting conversations will strengthen innovation, economic growth and societal benefit. The event is Silicon Valley’s top independent thought leadership forum, hosting forums global leaders, senior business and tech professionals, investors, entrepreneurs, academics and media. At the first meeting in 1985, mobile devices were predicted to become a ubiquitous part of our lives.

Each year Churchill Club invites key people to present two trends each that show promise of growth over the next five years. These trends are polled by the audience, and a winner is chosen. This year’s event featured Lauren Kolodny of Aspect Ventures, Rebecca Lynn of Canvas Ventures, Navin Chaddha of Mayfield, Jeff Crowe of Norwest Venture Partners and Brian Ascher of Venrock.

Here is a quick snapshot of the top technology trends as presented by Churchill Club, in the order of votes they accrued at the event.

  1. The Renaissance of Silicon Will Create Industry Giants by Navin Chaddha, 79% agreed with this trend. With the rise of tech and industry demands, and the redundancy of Moore’s Law, new semiconductors are required for a Cloud-native, Data- dominated, AI-powered, IoT world. This trend will see a rise in new players who will address the growing demands
  2. Federal Defense and Intelligence Budgets Will Dramatically Unlock for Start-ups by Brian Ascher, 69% agreed with this trend. Start-ups will fill the gap that has been created by traditional military industrial contractors with their lack the software skills and agility to counter the threat, while big tech companies are held back by picketing employees.
  3. Biology as Technology Will Reinvent Trillion Dollar Industries by Navin Chaddha, 60% agreed with this trend. Biology as Technology to reinvent trillion-dollar industries in food, fuels, materials, diagnostics, therapeutics, computers and more.
  4. Flexible Fertility Management Will Become Mainstream by Lauren Kolodny, 57% agreed with this trend. This trend talks about the changing mindset on when and how people will have families; the fact that there are more situations and choices now; a woman choosing to have kids later, same-sex couples, etc.
  5. Rise of Functional Medicine by Rebecca Lynn, 54% agreed with this trend. The trend predicts an increase in one-stop shop companies that facilitate functional medicine and do more than just provide diet or supplements but create packaged actionable results based on diagnostics, diet and diagnosis.
  6. Distributed Workforces Will Become the Norm by Rebecca Lynn, 53% agreed with this trend. Companies to have a global presence without the need to travel. This will be facilitated by collaboration software like Notion, Zoom, etc., turning eastern Europe and the Balkans as hubs for outsourcing, which in turn will create domestic tech industries over the next 20 years.
  7. Digital Technology Makes Positive (!) Inroads on Mental Health by Jeff Crowe, 53% agreed with this trend. An interesting trend, it presented machine learning based therapy for people who are always online, using smartphones frenetically. Texting with your remote therapist to machine learning unique combinations of therapeutic problem/response, digital Technology democratizes access to effective mental health treatment.
  8. Physical Space: The Final Frontier Jeff Crowe, 51% agreed with this trend. Jeff spoke about how physical spaces are utilized. Technology will change the way real estate is consumed, making buying and selling an easier and simpler process.
  9. A Democratized Network of Trust by Lauren Kolodny, 38% agreed with this trend. A massive network of verified identity will make our digital activities more seamless and secure. This network will connect new clearinghouses that verify our most important attributes without unnecessary redundancy.
  10. VR-AI-Bioelectronic Wearables Program Our Emotions in Healthful and Intentional Ways by Brian Ascher, 30% agreed with this trend. The trend presented the case for immersive, non-invasive wearables that bio-hack us into states of relaxation, mindfulness, and peak performance. It also removes the unhealthy addiction to the dopamine hits of social media.

We thank our guests for attending the Churchill Event with us.

We are looking forward to watching these trends unfold and are excited about the next set of trends.

Contact us here to talk about digital transformation and more.

Infogain & Google Joint Roundtable | RPA & AI on Google Cloud

June 18th, 2019 | Infogain & Google Joint Roundtable

Google Cloud’s Sunnyvale Campus

3 p.m. – 5 p.m. PDT

Infogain and Google will host an interactive roundtable discussion, “Supercharge your business with RPA and AI on Google Cloud”, at Google Cloud’s Sunnyvale campus on June 18th, 2019, starting at 3:00pm PDT.

This event is a fantastic opportunity to learn from technology experts, industry analysts and influencers about successful cloud strategies and technologies. Attendees will also have an opportunity to share their journeys, experiences, challenges, and success stories. We will also discuss:

  • How to identify quick wins: criteria for identifying workloads ready to move to the cloud
  • New application development – going cloud native right from the start
  • Leveraging machine learning, analytics, and RPA services already available on the cloud
  • Addressing security concerns: DevSecOps

Agenda Highlights:

  • Topic for the event: Supercharge your business with RPA & AI on Google Cloud
  • Moderator: Nishith Mathur, Chief Solutions Officer – Infogain
  • Presentation by Abhishek Singh, VP – Digital, IT Services and Industries, Everest Analyst
  • Presentation by Matt Thorson, Strategic Technology Partner Manager, AI & ML – Google
  • Presentation by Jay Sethi, VP Strategic Solutions – Infogain
  • Discussion
  • Networking Cocktails & Dinner

Space is limited, so register today.