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Blockchain: The Revolutionizing Mobile App Security

Posted on 18/03/202015/06/2021 by Tushar

Blockchain has become the definition of Security in the present digital world. With a number of industries and even governments applying the technology to add a whole new level of security and decentralization to their processes, the technology has penetrated itself into the world beyond IT and Finance.

A trend that is visible in the market growth forecasts of Blockchain technology.

With forecasts as these, Blockchain has become a technology that is worth looking out for.

The trend of making technology a part of the business cycle have now moved into the world of mobile applications as well. While still ruled by a handful of Blockchain based apps, the technology is an open playground for brands to experiment and emerge as a champion in. A move that is also bringing in a demand for the presently very limited group of excelled Blockchain App Development Companies.

Let us look at how you can implement Blockchain in your next mobile app for an added security level.

The start of your aspiration is knowing everything about the technology. In this article, we will look at what the disruptive technology is about, the elements that will come together to give numerous advantages to your mobile app. In the end, we will also look at ways to implement the technology in your app, to make yours the category’s most secure application.

So let us start by looking at how Blockchain works.

Blockchains are sets of interlinked transactions. Every party involved in the chain, sign their transactions with the help of strong keys, which ensure that every transaction has been authenticated.

Next, two hash are being introduced in the block, one that gives tamper protection to the block and the other that safeguards the data transaction that went before the one added. These hash help in recording the data of all the events that happened in a block, making it impossible for any of the involved party to tamper with the block without alerting the other parties.

A deeper dive in the Blockchain technology will open doors of new unheard concepts and algorithms that the world of Blockchain live in. The world which is too deep and complex for brands to get a grasp on, keeping them away from utilizing the technology to its utmost potential. So, without going too deep, I’ll now highlight the significant elements of Blockchain that are the technology’s foundation.

As a brand owner who is new to the complex world of blocks and chains, read these elements as the features that your application would be based on, to be called the next big new age, disruptive mobile application

1. Mining

Mining in Blockchain stands for extracting data from the various transactions and creating a block of them. With each new addition to the transaction, the miner keeps extracting the data and adding them to the block, thus making a chain of the transaction.

2. Hash

By now you must have gathered how Blockchain has been introduced in the technology world as the torchbearer of Digital Security. When we talk about securing a system or an application, the implying notion is to secure the data, file, document, or the contract that is or will be saved in the mobile app.

In Blockchain, when a document or file is stored, a hash is created. Hash is that feature of Blockchain that converts the data in a unique output of fixed length for every transaction. Specific to Hash, every block contains the previous block hash, which has the reference to the hash the next one will be built upon. The block also has the hash of current transaction which will then be connected to the next hash, when the new block gets added.

The authenticity of the block can be identified by verifying its hash.

3. Decentralized System

Every digital asset ranging from a contract and property related papers to even the chain of related events documents was earlier a part of mesh which had to be broken down into several pieces and middlemen to get access. But, with Blockchain, every information is now available online, in a decentralized system.

Now every activity whether it’s record-keeping or keeping it up to date is handled by the users themselves. Irrespective of whether you wish to change the address in your official document or you have to extract the property tax paper related to the first property you purchased ages ago, you will no more have to go through intermediaries.

4. Distributed Ledger

The Blockchain is an open ledger that contains all information related to digital transactions they are meant to handle. By keeping the information in the sequential format as blocks, the ledger allows real-time tracking as soon as a new block of information is added.

By involving a group of users in the ledger who all have access to view and add real-time information of every transaction, Blockchain enables transparent and tamper-proof management of the ledger. For securing the internal communication within your mobile app, Blockchain uses metadata for communication, which is scattered in the distributed ledger and is impossible to collect at any one central point, thus making it impossible to hack.

5. Keyless Security Infrastructure

To store all the data hash and run a hashtag verification algorithm for their verification, Blockchain makes use of the Keyless Security Infrastructure. This enables spotting of any data manipulation in real time as the original hash is always available on other blocks linked in the system/chain.

So, here were the five elements that lay down the basis of Blockchain Technology. While still on the technical side, it’s time that we look into things from your perspective – a perspective that we have detailed in our Entrepreneur’s Guide to Blockchain.

Let’s look at how Blockchain will take your Mobile App Security to the next level by using the features that the world swears upon.

Benefits of Adding Blockchain Technology in Your Next Mobile Application.

1. Protection of Data

By using cryptography to assign private keys to the users, your users will be able to store, view, and manage all the transaction specific data and information in one place.

2. Data Transparency and Validation

Taking data identity to the next level, Blockchain allows users to make their data available in a decentralized system which every one of the involved parties has real-time access to. Blockchain makes it impossible for any single party to tamper with the information in the block and go unwatched, thus maintaining the integrity of the data and making it transparent for all, thus eliminating the need of middlemen.

3. Protection of Infrastructure

By storing the DNS entry on the Blockchain, the mobile app owners can shift the risk of hack to Blockchain’s secured platform. The distributed, transparent DNS that the technology offers, make it impossible for even the government to get into without the permission of the involved parties.

4. The End of Passwords

Blockchain allows the authentication of users, their devices, and the transaction that they do, without the need of entering a password. Its network decentralization feature helps create consensus among the involved parties for the authentication of Blockchain-based SSL certificates.

Blockchain, while still a new entrant in the mobile app market will soon become mainstream at the back of these and various other advantages that the technology has been introduced to the IT world with.

For you, who have decided to cut ahead of the competition and introduce the feature that will soon become a part of a major number of mobile apps, here are some tips on how to successfully implement the revolutionary technology in your next mobile application.

Tips on How to Implement Blockchain Technology in Mobile App

The first step to successful Blockchain implementation in your mobile application is to identify the app features that would need players to act on it. Only by having players and an incentive plan to keep them to contribute is how you can ensure the authenticity of how fail-safe your Blockchain app is.

The next tip to successful Blockchain implementation is to know the exact transactions that Blockchain will be authenticating. Majorly, Blockchain mobile applications focus on one of the two activities: mediating the ownership of a shared resource value or record facets of multiparty events, such as quotes/bids or bills and payment specific.

When thinking of Blockchain as a service model, plan a strategy around the notion of community. You will be able to get the most of the technology’s value and security feature when you include a community of members who would be a part of your Blockchain based app.

Now that you know what Blockchain is and how you can design your app’s security plan around the disruptive technology, the next step is the groundwork. Contact our team of Blockchain Application Developers today, to get a walkthrough on not just the technology but also its various applications beyond assuring security.

Remote workforces kept productive by IT support automation

Posted on 06/03/202015/06/2021 by Tushar

Enterprise clients have looked to automate IT support for several years. With millions of employees across the globe now working from home, support needs have increased dramatically, with many unprepared enterprises suffering from long service desk wait times and unhappy employees.

Many companies may have already been on a gradual pace to exploit digital solutions and enhance service desk operations, but automating IT support is now a greater priority. Companies can’t afford downtime or the lost productivity caused by inefficient support systems, especially when remote workers need more support now than ever before.

Digital technologies offer companies innovative and cost-effective ways to manage increased support loads in the immediate term, and free up valuable time and resources over the long-term. The latter benefit is critical, as enterprises increasingly look to their support systems to resolve more sophisticated and complex issues. Instead of derailing them, new automated support systems can empower workers by freeing them up to focus more on high-value work.

Businesses can start their journey toward digital support by using chatbots to manage common support tasks such as resetting passwords, answering ‘how to’ questions, and processing new laptop requests. Once basic support functions are under digital management, companies can then transition to layering in technologies like machine learning, artificial intelligence and analytics among others.

An IT support automation ecosystem built on these capabilities can enable even greater positive outcomes – like intelligently (and invisibly) discovering and resolving issues before they have an opportunity to disrupt employees. In one recent example, Anteelo deployed digital support agents to help manage a spike of questions coming in from remote workers. The digital agents seamlessly handled a 20% spike in volume, eliminated wait times, and drove positive employee experiences.

Innovative IT support

IT support automation helps companies become more proactive in serving their employees better with more innovative support experiences. Here are three examples:

Remote access

In a remote workforce, employees will undoubtedly face issues with new tools they need to use or with connections to the corporate network. An automated system that notifies employees via email or text about detected problems and personalized instructions on how to fix them is a new way to care for the remote worker. If an employee still has trouble, an on-demand virtual chat or voice assistant can easily walk them through the fix or, better yet, execute it for them.

Proactive response

The ability to proactively monitor and resolve the employee’s endpoint — to ensure security compliance, set up effective collaboration, and maintain high-performance levels for key applications and networking – has emerged as a significant driver of success when managing the remote workplace.

For example, with more reliance on the home internet as the path into private work networks, there’s a greater opportunity for bad actors to attack. A proactive support system can continuously monitor for threat events and automatically ensure all employee endpoints are security compliant.

Leveraging proactive analytics capabilities, IT support can set up monitoring parameters to match their enterprise needs, identify when events are triggered, and take action to resolve. This digital support system could then execute automated fixes or send friendly messages to the employee with instructions on how to fix an issue. These things can go a long way toward eliminating support disruptions and leave the employee with a sense of being cared for – the best kind of support.

More value beyond IT

Companies are also having employees leverage automated assistance outside of IT support functions. These capabilities could be leveraged in HR, for example, to help employees correctly and promptly fill out time sheets or remind them to select a beneficiary for corporate benefits after a major life event like getting married or having a baby.

Remote support can also help organizations automate business tasks. This could include checking on sales performance, getting recent market research reports sent to any device or booking meetings through a voice-controlled device at home.

More engaged employees

With the power to provide amazing experiences, automated IT support can drive new levels of employee productivity and engagement, which are outcomes any enterprise should embrace.

Matter of mobility to the clinician: Connected healthcare

Posted on 05/03/202015/06/2021 by Tushar

Technology experts will often talk about the benefits of mobility in healthcare, but to understand why mobility matters and how it might improve both workflow and clinical benefits for patients, it’s vital to get a user’s perspective.

As a clinician, my view of mobility is influenced by my own experiences in different medical settings. Clinicians — by which I mean doctors, nurses and other allied health professionals — work across multiple hospital wards, often across several hospitals or medical facilities, with multiple parties involved in the care of the patient. For example, a cardiologist might review a patient in the hospital’s outpatient department, in the emergency department or in the cardiology ward. As a result, the cardiologist may need access to medical records across various locations, which potentially could be sourced from multiple systems of record.

The key is being able to access those records in real-time and on the go. If clinicians are required to interrupt a patient evaluation to access information from a file or computer, valuable time can be lost, affecting the care of the patient. If clinicians can access the right information at the right time and in the right place — at the patient’s bedside, on the go, or in various locations — they are better equipped to make informed and accurate clinical decisions, enabling them to spend more time with the patient and ultimately improving patient care.

Furthermore, clinicians don’t work in isolation. Mobile access to clinical data and the ability to share information with other health professionals — for example accessing blood results from pathology or rehabilitation progress notes from a physiotherapist — give everyone involved in the patient’s care the right information as and when needed. These also ensure that clinicians make good use of their time. For example, if a doctor can see that the patient is scheduled for an X-ray at 11:45 a.m., he or she knows a midday appointment is not feasible.

Taking a holistic approach to Healthcare

We also need to realize that healthcare doesn’t happen in isolation from the rest of our lives. Most people now access information through their mobile devices. It makes sense, therefore, that clinicians would want to access clinical data in the same way.

And patients are also more connected in every way. They expect to be included in decisions driving their own healthcare. They want to understand their diagnosis and what it means. If the clinician can access the patient’s data on a mobile device, it’s much easier to have an informative bedside discussion with the patient. For example, the clinician can pull up the patient’s X-ray or blood test results on a mobile device and show the patient areas of concern or trends in the results.

The clinician might want to go further and share information about a procedure — for example, videos of a procedure or hyperlinks to information that might be helpful to the patient. Or the clinician and patient can watch the video together on the mobile device, giving the patient an opportunity to ask questions and be properly informed.

A truly mobile, integrated solution will also be able to aggregate information from multiple sources — the patient’s medical record, pharmacy record, nurses’ notes — and have it all in one place.

In an age where data security, patient privacy, and accountability are under the microscope, mobility gives healthcare systems the ability to track information. The system will show that a certain clinician has seen the results. It’s possible to also require that clinician acknowledge receipt of the information as he or she receives it.

There’s no doubt that challenges exist — technical, logistical, user-specific, and more — but the benefits are worth the pursuit of a solution. Healthcare organizations have the information required to ensure quality patient care, increase patient satisfaction and reduce the rate of mortality and morbidity. But, they want to be able to get that information about their patients in real-time and on the go. Ultimately, clinicians want mobility. After all, it’s how most people — clinicians included — interact with the world in their daily lives. Why should healthcare be any different?

Learning complexities: Best practices of work in the future

Posted on 04/03/202015/06/2021 by Tushar

Today’s high performing organizations know that the world of learning has undergone tremendous change, and they need to put employees at the center. Employees require a lifetime of continuous learning to keep pace with change.
An innovative approach to learning can help tackle the workforce skills gap, retain talent, increase performance and improve productivity.

Organizations need to create a learning culture and environment that welcomes knowledge seeking and employee self-improvement. The next generation of learning technology expands access, personalizes experiences, offers actionable insight and helps track how learning affects business outcomes.

Learning leaders must work together and share the same vision to successfully engage and prepare their employees for the future of work. Here are five best practices we view as critical for successfully overcoming the challenges and complexity within learning today:

Take advantage of new learning platforms. Standardizing on a single LMS is not the only option to address learning complexity. Having multiple systems is fine, even preferable, provided they can be accessed through a single platform. What’s important is to implement a multi-platform, agile methodology where the learner’s experience is the focus.

Meet learners where they are at. Employees do not have as much time as they would like for formal learning, informal “in-the-flow” work learning is necessary for training and development.

Embrace evolving workforce demographics. To address learning diversity, investing in next-generation learning technology and fresh approaches includes mobile learning tools and personalize learning paths needed to improve performance and retain talent.

Up-skill for the future of work. Closing the skills gap requires prioritizing learning development programs that empower employees to seek new skills that meet evolving business needs.

Ensure employees remain relevant in the digital workplace. Employees need to build comprehensive skill sets that are applicable to a variety of roles that will eventually be in high demand with the adoption of automation, robotics, and artificial intelligence.

In today’s changing world of work, employees need access to anytime, anywhere learning that’s relevant and meaningful to their development. An active learning community encourages employees to become insight experts and share actionable knowledge that enhances organizational intelligence.

It is time to pursue an innovative approach to learning and to take full advantage of next generation learning technology that prepares employees for change, aligns with business goals and connects a global workforce to deliver performance that accelerates growth.

What is IoT? The internet of things explained

Posted on 03/03/202015/06/2021 by Tushar

Suppose you are going for a meeting to a nearby town. While traveling, a message popped on your device screen informing that the volume of petrol is going low. You were confused about what’s happening, when another message sharing the details of a nearby petrol station popped up on your smartphone device. Wondering how is that possible? Well, it’s nothing but a real-life example of IoT.

Confused about what is Internet of Things (IoT)? How does it work?

Let’s talk about it in detail in this article – starting with some exciting statistics.

Statistics Proving the Uprising Market for Internet of Things (IoT)
A Brief Introduction of Internet of Things (IoT)
Working of IoT Technology
4 Major Components of IoT Ecosystem
Ways IoT is reshaping Business world

Statistics Proving the Uprising Market for Internet of Things (IoT)

By 2019, the global IoT market will generate a revenue of $1.7T.
By 2022, 100% of the population is predicted to have LPWAN coverage.
By 2025, there will be more than 75.4B Internet of Things devices worldwide.
In 2018, there were around 7B IoT devices. However, more than 10B devices are expected to join Internet of Things ecosystem.
As of 2018, nearly half of all IoT (Internet of Things) devices were connected to WPAN (Wireless Personal Area Networks), including Zigbee, Bluetooth, and Z-wave.
54% of Enterprises invested in IoT app development because of its cost saving factor.

Now as we have taken a glimpse of IoT Trends 2020, let’s begin right from the basics.

A Brief Introduction of What is Internet of Things

IoT, also referred to as the Internet of Everything (IoE), is an ecosystem of interrelated computer devices, digital machines and objects that has the ability to transfer data to each other in real-time, with minimum human intervention.

These devices include coffee makers, washing machines, music system, TVs, wearables and other electronic devices that can communicate with each other using what is called Machine-to-Machine (M2M) communication.

While this is all about what is IoT technology, let’s turn towards its working mechanism.

Working of IoT Technology

When talking about how does IoT work, the process begins with devices that have built-in sensors. These devices are connected to IoT platforms which stores data from all the connected devices. The important data is then used to perform tasks that fulfil the needs of people.

When we say the data is stored in the IoT platforms, it doesn’t mean that all the data is useful. Devices carefully select only particular data that is relevant to execute an action. These pieces of information can detect patterns, recommendations and problems before they occur.

In this way, IoT application works with smart systems that automate tasks to address specific needs.

However, if you still have any doubts regarding how does it work, check out this video:-

With this attended to, let’s dive deeper into IoT market and see what are the prime components of Internet of Things technology.

4 Major Components of IoT Ecosystem

1. Sensors/ Devices

The foremost component to consider in Internet of Things technology is sensor/devices. A sensor picks up all the minute details from an environment. The environment can have many complexities. What makes IoT security so great is these sensors that pick up even the most sensitive changes. These sensors are built in the devices which collects all the data to be used later. For instance, our phone is a device with built-in sensors like GPS, camera, etc.

2. Connectivity

Once the data is collected it is transferred to the cloud infrastructure (also known as IoT platforms). But to transfer the data, the devices will need a medium. That’s when connections like Bluetooth, Wi-Fi, WAN, cellular networks, etc come into play. These mediums are all different and must be chosen wisely for best results.

The effectiveness IoT security highly depends on the speed and availability of these mediums.

3. Data Processing

After reaching the cloud infrastructure the data has to be analysed so that the right action can be taken. This process is however considered one of the most crucial obstacles in front of IoT app development. The analysis can be as simple as checking the temperature of the AC or a complex one such as a situation where an intruder comes in and the device has to identify it through cameras. The IoT application is made such that it can process all the data at a fast rate to take immediate actions.

4. User Interface

The last step is when the user is notified about the action with the help of a notification or an alert sound sent to the IoT mobile apps. This way the user will know that his command has been run through the systems.

However, this isn’t as easy as it seems. It all depends on what is IoT platform and how the technology has been developed. It becomes crucial for Internet of Things (IoT) app development companies to develop a system that can also be manually adjusted. In a situation where the temperature of the fridge is not cold enough to freeze ice cubes, users should be able to do that manually without the system backfiring.

Now as you have gained an insight of what this technology is, let’s take a look at what are the uses of Internet of Things in the present world – besides backing the concept of Smart Homes and cars.

What IoT Means to the Business World

1. Healthcare

IoT in Healthcare has opened new doors of opportunity for medical specialists and patients. The technology enables doctors to get a real-time access to patient medical data, store them on cloud, and share with others. It also cut down the waiting time, helps to check for the availability of hardware and equipment, and simplifies the process to identify chronic diseases and take the right actions to mitigate the risk.

2. Education

Internet of Things technology is also revolutionizing the education sector. It is connecting people worldwide to ease the process of sharing knowledge, reduce the barrier in gaining access to any data, introduce security in education system, and more – a glimpse of which you can take from the video shared below:-

3. Retail

Another domain that is enjoying a myriad of opportunities and facilities after getting an understanding of what is Internet of Things and how to incorporate it in their processes is Retail.

The industry, with the help of what we call as Internet of Things applications, is finding it easier to deliver personalized experience to their user base, automate checkout processes, perform maintenance effortlessly, and more.

4. Sharing Economy

The combination of IoT and Blockchain, i.e, (Blockchain of Things) is reshaping the Sharing economy. The dual technologies are helping to build an online marketplace where data from all the companies and stores can be stored and shared securely and effectively using the concept of Smart Contracts. And eventually, used by others with the motive to cut down the efforts required from the user end.

5. Real Estate

IoT technology is also reshaping the real estate economy by speeding up decision making process, offering more energy-efficient options, making space smart, and more.

6. Travel

Here, IoT is empowering travel agencies to deliver real-time information, automate most of the processes, and send electronic key cards on guests’ smartphone. And in this way, adding convenience, ease and security to their experience.

So, as we have covered so far in this article upon what is Internet of Things, the technology has a wider scope in almost every business vertical. But, if you still have any doubt or wish to design an IoT-based solution for your business, connect our IoT mobility experts today.

Dimensions of change in the digital workplace

Posted on 26/02/202015/06/2021 by Tushar

Upgrade workplace technology: check. Modernize infrastructure: check. Adjust to new workforce: check. Overcome resistance to new ways of working: check. Adjusting to digital transformation’s impact on the workplace and workers is, well, a lot of work. A lot of change. And it’s essential to understand that workplace transformation will only deliver expected business benefits when organizations develop effective ways to cope with change along many dimensions. These include:

Workforce. For the last few years, we have focused on the generational shift taking place as millennials become the bulk of the workforce. However, there is a second shift that will impact how we operate. Organizations are adopting more gig workers for specific tasks or projects, which puts pressure on IT to streamline gig workers’ experience and optimize processes to maximize gig workers’ productivity. Capitalizing on automation, intelligence, and integration to optimize business flows and processes will become fundamental to IT operations.

Human resources. This blended workforce, and the recognition that organizations are already adopting a task or gig-like approach internally, impacts the way we run our Human Resources processes. The line manager might continue as a custodian, but the management chain becomes flatter, tied to activities and projects. The old reporting model breaks by having so many stakeholders and managers. We need to automate and collate information for the relevant project and stakeholder, distill it succinctly, and publish it to those who are invested, as well as archive it as input to the performance review process.

Project management. That information will enable project managers and stakeholders to better manage the individual and the team, optimizing for performance and cost. As they see near-real-time information about productivity and performance (on their specific project), they can flex, coach, and change the team as needed. It is a much more hands-on world, although some of the tasks can be automated. Project resource managers can learn from just-in-time manufacturing techniques, bringing in the right folks at the time they are needed.

Relevant information. In this environment, relevant information — not more information — is the key. Luckily, the platforms citizen developers are experimenting with also provide some of the components needed. They can capture tasks done, documents touched and discussions held, giving us a raw feed of activity. Post-process this information, in the context of each stakeholder, can be used to produce concise, relevant reports grounded in system data, not flawed memories.

Embrace employee-driven innovation. Organizations must become better at matching the pace of change, using techniques like employee-driven innovation to quickly identify new workplace trends and opportunities. Formalizing informal support networks can help manage change more effectively and capture the benefits of disruption. And when companies understand how productivity and morale are boosted by ongoing workplace investments, the cost of change is less daunting and easier to justify.

Connection and collaboration. Companies must continue to develop policies that give workers flexibility in the devices they chose to use. How people connect and collaborate is changing as well; companies will need to foster collaboration on, and set policies for, social media in the enterprise.

Automation. Software agents, bots and intelligent machines will make tasks easier. Companies will need to consider how these new devices and applications can learn and apply user preferences, and how they can use real-time information in context to automate more tasks and decisions.

Enterprises can truly change the way employees work by providing a flexible, expansive workplace with the right technologies and policies. Those who come to grips with the new definition of the workplace and its enabling technologies will be the digital leaders of tomorrow.

Here’s how a digital core enables industry-wide digital transformation

Posted on 25/02/202015/06/2021 by Tushar

Companies in every industry are facing the challenge of evolving digital capabilities given their current operating models, resources, talent and culture. These elements are so intrinsic that any digital transformation not addressing them will ultimately fail because the legacy organization will inevitably exert a gravitational pull back to established practices, while agile competitors forge ahead. Some enterprises may be further along than others, but in most industries there are only a few companies that have made significant progress.

Becoming a digital enterprise is a complex and lengthy journey. It is much more than implementing predictive analytics or intuitive eCommerce experiences. Beyond product/service innovation, the journey demands attitude change in agility, experimentation, openness and transparency. However, for now let us focus on the digital core levers that CIOs and their teams can use to accelerate transformation –and how industries’ different use of digital enablers leads to different routes to digitilization.

Digital core enablers – technologies that realize digital transformation

As I explained in the first blog of this series, a digital core represents a set of loosely coupled cloud-enabled and SaaS business applications integrated with analytics and big data, on top of an elastic, yet resilient, data platform. A digitalized enterprise core enables a scalable, enterprise-wide digital strategy with the intent to accelerate business innovation through insight-based customer, partner and employee engagement. This transparency and automation drives optimization of business process and asset utilization, as well as employee productivity, and allows forays into new business models beyond the industry.

The digital core components accelerate the benefits of digital transformation by:

Enabling creation of engaging and effective customer, employee and partner “experiences,” leading to adaptable, collaborative transactions
Optimizing end-to-end business processes, even extending them beyond the enterprise to improve business efficiency and effectiveness
Innovating current business models that open potential for net-new revenue from products and/or services in unexplored market segments or via cross-industry collaboration and/or digital business platforms.

Digital core demands a hybrid transactional and analytics data platform

So, where should most enterprises start? While the hype about cloud-native, loosely coupled microservice applications is raging, there is a quiet revolution taking place enabling the sensible modernization of a business operational core. SAP, Oracle, Microsoft Dynamics, IBM, Workday, Salesforce and other vendors are increasingly offering “in-process,” hybrid transactional and analytical business applications based on optimized, ACID-compliant, columnar databases sharing one data platform. These merged platforms support data harmonization and application consolidation from a value stream perspective into one data store — with significant impact on TCO. In-process applications leveraging translytical data platforms or hybrid transaction/analytical processing (HTAP) accelerated by in-memory computing are disruptive. Companies can optimize business process execution by meshing many of the digital core enablers like real-time analytics (for example, planning, forecasting, outcome simulations and what-if analysis) in transactional execution, rather than performing them as separate activities after the fact.

Beyond this potential transition route to a digital core by consolidating applications into transanalytical data platforms, big data (Apache Hadoop) repositories can complement the reach of core applications by infusing additional external or sensor-based data to transition from manual to sense-and-respond, event-driven processes. As shown in the graphic below, these digital enablers may even “blur” the boundaries between industries, therefore enabling cross-sector collaboration.

Digital enablers disrupt industries and break down boundaries

Recent disruptive competitive moves by Amazon into transportation and financial services reinforced the importance of establishing a hybrid data platform that drives internal optimization and allows competitive moves into new services and products.

While different industrial sectors have a natural proximity to some of the digital enablers shown below, there is a rising consensus that the transparency and insight provided by richer data in analytical and big data repositories are the “fuel” of automation. Most of the technologies highlighted as disruptive in the graph below revolve around the utilities of artificial intelligence and machine learning.

Becoming digital – a maturity and context-based approach per industry

Recently, researchers from the McKinsey Global Institute (MGI) looked at the state of digitization in sectors across the United States and Europe and found significant gaps between many of them. Most digital companies see outsized growth in productivity and profit margins. But what are the key attributes of these digital leaders, and how can companies benchmark themselves against competitors? MGI’s digitization index encompasses (a) digitization of assets, including infrastructure, connected machines, data, and data platforms, (b) digitization of business operations, including processes, payment and business models, customer and supply chain interactions and (c) digitization of the workforce, including worker use of digital tools, digitally skilled workers and new digital jobs and roles.

The industry digitization dashboard below shows the digitization maturity scores. The IT technology sector comes out on top. Media, finance and professional services are right behind. Not surprisingly, these are some of the industries that currently invest in cognitive AI for operations and services, which in many ways demand a rapid modernization of their business operational cores.

No doubt the extent to which companies are digitizing their physical assets and supply chains and enabling their knowledge workers — that is, if they have smart buildings, connected vehicle fleets, big data or IoT systems and information at their employees’ fingertips – determines the performance they get out of equipment, systems, and business networks. However, different states of maturity with such enablers demand a varied approach by industry. For example:

A consumer-products company will benefit from focusing its data and automation efforts on establishing a synchronized supply network able to respond to events from their customers. The fourth recommendation above shows that digitization of the B2B channel through “intelligent shelves” will improve forecast accuracy and trade promotion efficiency and evolve from a make-to-stock model into a make-to-order product flow. That in return will demand a transition from forecasting to response planning and big data repositories that sense, categorize and act upon on-shelf shortages. Product and packaging fragmentation will further demand digitization of the heart of manufacturing.
Asset-intensive industries like utilities can leverage AI to drive improved matching of supply and demand, which needs to be done, literally, in real time. With the addition of smart metering sensors, utilities have been able to progress from forecasted to actual consumption billing, but more importantly, to increase accuracy of their short-term load forecasts in order to adjust supply to meet anticipated demand. This delivers substantial savings, reduces waste and emissions and adds further system resilience via predictive and preventive maintenance.
Service- and labor-intensive industries like retail need to improve their interactions with consumers by improving the omni-channel experience and empowering their employees towards higher productivity via mobile-enabled tools, while collecting and bargaining using the wealth of information on behavior and assortment. Efficient logistics, goods tagging and placement can be automated.

In summary, by understanding their digital maturity vis-à-vis their peers and even related industries, companies can streamline the deployment of a digital core, focusing on business model optimization or innovation while enhancing their business network experience. Easier deployment of digital enablers is one of the benefits of a modernized digital core. Advanced analytics, IoT, AI/ML, robotics, algorithmic operations and blockchain can transform how companies create and manage digital assets, accelerate supply-to-demand, facilitate digital experiences and empower digital workers towards higher productivity.

In my next blog post, I’ll write about how a digital business platform extends an enterprise’s digital core into the broader business network and allows for end-to-end value stream optimization of current operations.

Optimizing Agile delivery when the development team isn’t co-located

Posted on 24/02/202015/06/2021 by Tushar

Co-locating Agile development teams with the customer or business unit is optimal for collaboration and customer intimacy. However, co-location is not always feasible. Development team members could be from multiple geographic locations, the customer could also be spread across multiple locations, and economic considerations might direct some of the development to regions with lower costs.

This requires an effective Distributed Agile/Remote Agile Delivery model. Here are the four key considerations that need to be taken into account for a Distributed Agile Delivery model to ensure successful delivery:

1. Culture. If the teams are spread across multiple countries, cultural differences are bound to arise due to diverse work practices, values, processes, styles of leadership, decision-making, and problem-solving approaches. Not being able to work side-by-side can lead to misunderstandings from unrecognized cultural differences.

To mitigate, it is essential to build trust and establish relationships between the teams early on. Initiation events, where teams meet and work together, and establish common standards and consistent practices, present a great opportunity to establish trust and foster team building. Sending “Ambassadors” from each site to the others on a periodic basis is also an effective way to bridge the cultural gap.

2. Common hours and communications. Cultural and language differences make effective communications hard. Even with web- and video-conferencing, it is challenging to overcome the lack of visual cues and face-to-face interactions. This is further compounded by insufficient time zone overlap.

Teams need to work out an approach to shift some work hours to improve their time zone overlap. Often teams agree on “core hours” during which members at all locations will be simultaneously available. Reliable communication tools, desktop sharing, phone, instant messaging, and virtual rooms can then play a big role in establishing strong communications. Agile coaches and Scrum masters need to step up as effective coordinators. Bi-directional travel by key customer stakeholders and vendor leaders also helps.

3. Collaboration. Distance makes collaboration and frequent communication challenging. Context of discussions is sometimes lost as well. Using a “Proxy Product Owner” at each site can help bridge any gaps in business and domain knowledge. Building a work culture around compulsively using Enterprise Agile Planning Tools (EAPT) and collaboration tools facilitates collaboration among remote teams. The Ambassador program mentioned earlier — rotating some or all of the team between locations — and bringing the teams together on a periodic basis helps.

4. Consistent Infrastructure and Configuration Management. Challenges with Distributed Agile multiply if you do not have standard shared infrastructure and continuous integration. You need to leverage virtualization and provide identical environments for teams at all sites. Other strategies include using a single configuration management system for all teams, deploying DevOps (at least Continuous Integration and Continuous Testing), and insisting on frequent builds.

Ensuring that these four areas are addressed at project onset sets the collaborative tone for your distributed agile delivery. Having a collaborative team mindset from kick-off through delivery is crucial to project success.

Techniques and Tactics concerning Hybrid IT

Posted on 23/02/202015/06/2021 by Tushar

As companies embrace hybrid IT, they must address both technology and the human side of change. There are several key actions to take:

Staff and train differently: As applications move from traditional platforms to the cloud, current IT staff needs to be trained and re-skilled. Companies should recruit developers adept in Agile methodologies. Siloes should be broken down, and the workforce should become more integrated, multifunctional, flexible and agile.

Overhaul change management: The existing governance processes, gates and approval procedures designed for traditional legacy IT environments are no longer appropriate in a cloud environment. Companies need to revamp their change management systems to allow changes to happen quickly and, using automated workflows, to reduce manual intervention.

Integrate cloud operations: As organizations move workloads to the cloud, the IT operations function should adapt to manage both on-premises and cloud-based applications. This new model, called CloudOps, can provide continuous integrated operations in a multi-cloud environment to enable rapid response to events, incidents and requests. Adding DevOps to the mix then utilizes automation, integration and organizational change to enable more frequent enhancements that result in higher quality software.

Automate support: To the extent possible, automate IT support functions. For example, the traditional trouble ticket system can be manually intensive and inefficient. Automation can improve service and free up IT personnel for higher-level activities. Longer term, companies will be able to deploy machine learning and AI to take log data from cloud-based systems and automatically take actions to resolve and even prevent incidents.

Manage “shadow IT”: Business units are often acquiring the cloud services they need because IT moves too slowly. At some point, those services must be integrated back into the traditional IT environment for operational and security reasons through a services governance model that encompasses hybrid IT elements.

In addition, it’s important for CIOs to have a handle on what the enterprise is spending on IT services. The only way to accomplish this is to adopt hybrid IT and demonstrate to business units that IT can support the pace and scale that the business requires.

Most popular questions companies have regarding AI and ML

Posted on 22/02/202015/06/2021 by Tushar

Artificial Intelligence (AI) and Machine Learning (ML) are rapidly evolving to help companies with both digital transformation and innovation. There has been a lot of hype and discussion about these topics, and, in a very short time, we have moved the conversation from “AI is cool” to “AI can drive specific business outcomes.”

Experience has allowed companies to clarify the economics of AI and reduce time to value. In addition, the technology has continually improved, with advancements including:

extracting unstructured data for improved insights and processes
moving from simple chatbots to more sophisticated conversational assistants that are smart, use more natural language interaction (text and/or voice), and enable the initiation of transactions
integrating operational and knowledge management systems

As our clients start to understand more about AI/ML, there are 2 key questions typically asked:

Question 1: “How do AI and Machine Learning differ from traditional programmed systems?”

There are three different capabilities that AI/ML typically extends and enhances into existing applications. One aspect is understanding – enabling systems to understand language, other unstructured data, including pictures, just like humans do. A second aspect is reasoning – enabling systems to grasp underlying concepts, form hypotheses, and infer and extract ideas, similar to humans. The third aspect is focused on learning – improving over time and avoiding repeated mistakes. These capabilities, often referred to as U-R-L (understand, reason, learn), are easily integrated into existing applications as consumable APIs, can reduce time to value.

Question 2: “Where is the value from Artificial Intelligence/Machine Learning?”

As we look across client environments, most clients are very comfortable with structured data that is within their firewall – things like transaction systems, customer records, and even predictive models. Many analysts estimate that 80% of data created today is unstructured, which requires clients to expand their current perspectives in 2 dimensions:

Structured to unstructured, such as documents, transcripts, social media, weather, images, IoT and sensor data, and news
Within the firewall to outside the firewall, including public data, licensed private data, and new types/sources being created every day

From a value perspective, the enticing aspect of AI and machine learning is connecting these structured and unstructured data types within and outside these walls. This enables richer, more, and unexpected insights, new business processes, and improved workflows at dramatically reduced cost levels.

As AI and machine learning mature, three use cases patterns have emerged around customer care, human capital management and the rethinking/reimagining of processes thanks to insights gained from unstructured data and natural language capabilities.

We’ll expand on these use cases and how we are applying AI/ML for our clients in our next blog post.