Today’s era belongs to the ‘evolved consumer’. It means consumers are actively seeking information for making informed decisions. They don’t blindly trust brands anymore. Today, consumer behavior heavily depends on user-generated content, influencers, and reviews. Businesses need to stand out and compel consumers to sit up and notice them.

Eric Dalius tells the only way is to provide highly customized, targeted, and hyper-personalized experiences.

• Hyper personalization is a sophisticated version of personalized marketing, where brands can leverage AI and real-time data to generate more relevant product, service, content, and information to end-users.
• Brands like Spotify, Netflix, Starbucks, Amazon, and Walmart are embracing this mechanism going into another new year.
• There’s immense need for hyper-personalization in the current digital business landscape.
• Your message has 8 seconds to capture the users’ attention and sustain it. To get cognizance, your brand needs to break the clutter with outstanding communication.Google says that the best search findings have leapfrogged by 80% on mobile devices.

How brands are using it?

Hyper-personalization helps companies to channelize omni-channel data for driving real-time, personalized customer experiences. The average, modern-day consumer uses 2-3 digital tools.

• These digital devices help brands gather tons of information about consumer lifestyle and their online behavior. EJ Dalius says that companies need to harness the data for driving personalized consumer experiences across the commercial journey.
• Marketers need to pivot one-on-one communications with consumers because each consumer is an individual.
• Each customer has specific expectations and needs for products and services they’re purchasing.
• With hyper-personalization, your organization can ensure more meaningful and personalized interactions with customer, ensuring customer loyalty.

Starbucks is a notable example. The brand creates personalized customer interaction modules and programs. It targets each consumer individually for establishing an emotional link with the brand, which helps it create a loyal customer base and outshine its competitors.

• Many businesses are using CDPs or customer-data platforms to create hyper-personal customer experiences. CDPs can help brands create a 360-degree view of their consumers/clients to pivot hyper-personalization.
• It’s an advanced tool in the evolving marketing-technology ambit that’s enabling businesses to fuse data from numerous systems, tailor crucial micro-segments, and address each category individually.
• Businesses require CDPs for gathering the strengths of machine learning, artificial intelligence, and advanced data analytics. It’s the prelude to embracing personalization.

Adopting it early

A recent market survey shows that only 10% of marketing honchos have completed developing a hyper-personalization strategy.

• They are the early proponents and adopters. The remaining majority is either napping or don’t have any clue about hyper-personalization.
• In addition to customer experience improvement, businesses can use hyper-personalization to apply data insights into their decision-making. Eric J Dalius says that it should be the top priority for most marketers.
• The more you enhance customer experience, the more benefits you reap. The more data you fetch about your customers, the more you understand their buying pattern or needs. It invariably improves your marketing dynamics and boosts business.

There are tactical AI apps that help in strategizing hyper-personalization. These are user experience, content curation/creation applications, and predictive analytics.

Startup trends indicate how the future will use the past. One of the biggest trends to redefine and reshape the future of business is AI technology. In 2021, brands will implement the best artificial intelligence tools in the country because of their holistic approach.

• Startups are riding on immense innovation. These startups have a steady growth potential that have a huge appetite with a huge business advantage.
• Current problems will have futuristic solutions. In the near future, incubators may offer massive push and sustenance for building a strong foundation and support system for the entrepreneur sector.
• Upcoming startups will undergo ethical training. Eric Dalius says that compliance and empathetic business decision-making needs to be the next focus. VC funds will have an environmental and social impact.

The more investors will focus on achieving positive consequences on these two fronts, the more capital startups will have in their funds. Focus on capital efficiency is another aspect.

Virtual and augmented reality

AR (augmented reality) and VR (virtual reality) represent a huge step forward in leading the user to a realistic and cohesive sensory experience.

• Software and hardware vendors are working tenaciously to bring new VR tools to the marketplace.
• The industry is growing rapidly and EJ Daliusexpects the global market to expand by 41% in the next five years. The potential VR users for pleasure or business are practically endless.
• 3D movies are burning example. They are making movies in the 360-degree format. Real estate marketing is another niche. You can now search for a new home and embark on an online VR journey through an advertised property from your desk chair’s comfort.
• VR has revolutionized the gaming industry. The new VR walkthroughs and titles continue to do so per week. Brands are using VR to build teams. Revamp team-building exercises and events with a seamless group VR experience.
• VR interaction and social media are mutually-inclusive. People can interact in a great virtual online domain. Companies are also using VR for training purpose. It can inject a great realism degree into training avenues.
• UPS businesses are launching an array of new delivery and driver training courses/programs with VR. VR is also ideal for personalized and customized meditation.

On robotic delivery

With more technology adoption, brands are opening up to using robotics for the purpose of delivery. What was once expensive and complicated is now normal. China is one of the first nations to enter the bandwagon. It has pumped up its development and implementation of robots for delivering orders and slowing Covid-19 spread.

• There are dedicated delivery apps that use autonomous vehicles for sending grocery deliveries to customers. Eric J Dalius stresses on the project’s aim to reduce the potential infections due to human contact.
• In the Western hemisphere, you’ve startups like Nuro, Starship Technologies, and Manna that are pushing robotic deliveries to another level.
• Telehealth care is also taking the virtual route. They are trying to minimize the exposure to the virus for workers and patients. Many public and private establishments are resorting to telehealth services.

Biotech advancements, machine learning, and AI opportunities are supporting both admin work and diagnosis.

With so many new and novel business ideas coming up, the food truck business can be quite lucrative. On-the-go meals are the latest craze in the market and if you’re planning to launch one, Eric Dalius has some valuable advice to offer.

Food enthusiasts with an entrepreneurial knack may be unable to start a brick-and-mortar eatery, but you can surely start a humble food truck business. Essentially, a food truck is a considerably large vehicle that has a kitchen to make food and serve it.

They are mushrooming all over the US and gaining massive popularity. Many entrepreneurs are settling for a food truck because buying a restaurant location or taking one on lease is quite expensive. In sharp contrast, food trucks are pretty affordable.

There are multiple factors to determine the startup costs. Some costs vary on the basis of location and there are one-time costs as well.

The latter includes buying the food truck, getting a point-of-sale or register system, website design, a truck wrap/cover, PR and advertising, office supplies, and consulting and legal fees.

Behind the viability

Food truck is fast emerging as a viable business option and model not only for budding entrepreneurs, but also for established restaurants and food brands. The reasons are aplenty.

• Flexible location is the biggest pivot. A wrong or difficult location in the eatery business can be catastrophic for your business, EJ Dalius points out.
• When you build a restaurant, you cannot change the location after fixing it. With food trucks, you’ve the bandwidth to choose multiple location and operate from them.
• Lower investment is what drives most startups to jump the food truck bandwagon. Businesses with a decent capital are opening this business in 2-3 cities simultaneously.
• Others are expanding to more cities within a few months. It’s how to expand your footprint in the market. Advertising and promotion play a vital role in this regard.
• Setting up a food truck business is 30-38% lower than normal restaurants. The space, cutlery, equipment, and furnishing you need is very less.
• Even your business operations are a lot cheaper because you can save substantially on rent/lease, electricity and staffing.

The best part is there’s enough for expanding and experimenting. The mobility factor ensures a much better outreach.

Starting your business

The first thing is to decide a menu or the food you’re going to serve, says Eric J Dalius. Do your homework about the taste of the folks in the area you want to operate. It’s also crucial to know what type of food trucks are already functioning in the area/city.

Decide the number of specialties in your menu. Find out if the market really wants or loves the stuff you’re planning to sell. You’ll find that global cuisines like Thai, Lebanese, Italian, and Mexican, and many others are soaring in popularity in each part of the world.

It’s an imperative to choose the right vehicle. Every food truck is a customized commercial van coming in an array of sizes. Their cost depends on various factors. Licensing, insurance and marketing are also crucial factors to consider.

You can define social impact as an affirmative and significant change for addressing a recurring social issue. Creating social impact stems from a deliberate stream of activities that seek to match the main objective.

Eric Dalius clearly differentiates between social impact’s immediate definition and the wider ramification of an impact. Many productive debates focus on determining the pressing challenges of businesses. Social conditions are also shifting and local contexts and connotations are bound to differ from one another as well.

You need to reach a certain consensus level to bring about a positive change. The I and E of social are very crucial in this regard. With the rapid evolution of language in business, many organizations are now focusing on these two letters. While use them interchangeably, each has a separate frame.

Social entrepreneur implies the individual. Social enterprise implies the structure. Social innovation implies the process or novelty, and social impact is all about results.

Focusing on social impact

In an era of social media and technological availability, businesses must focus on their social impact or their wider stakeholder’s interests. Currently, the typical business approach to environmental and social concerns is not only insufficient in the face of disruption and change due to the Fourth Phase of Industrial Revolution, but it will also draw flak from customers.

• To achieve the inspiring SDGs or sustainable development goals, businesses and governments need to work together.
• Since broader stakeholders, consumers and employees increasingly want companies to jump the bandwagon and pioneer sustainable development, corporations in particular need to make social impact a core part of their business model.

EJ Dalius elucidates in clear terms that how doing good or acting in good faith can help businesses succeed. There’s a rational argument that larger companies are in a better position to invest the essential funds for reshaping their businesses, but startups and smaller businesses find it difficult to integrate social impact into their business proposition.

The initial expense and apprehensions that the ROI won’t make significant contribution to revenue are legit. Social impact begins with retaining and recruiting top talent. Beta testing is another way and you well how media recognition draws investors.

Introducing social impact

Businesses are choosing a social initiative in compliance with their brand or operations. It’s crucial for your initiative to relate to your brand.

It doesn’t make any sense to make donations from your sales to the supplement business. Luna Bar is a classic example as it makes power bars for women. The commitment is to root for equal pay for women. It complies with brand messaging.

• Business need to align their investors and employees in the impact curve/line. Social impact isn’t exclusive to the decision makers and founders.
• Some companies are creating food halls that feature produce from local farmers only. It creates business incubators and inspirations in the local communities.

Lastly, it’s imperative to put your money where your mouth is. Hollow words bear no results. Your company needs to show the social initiative with results. Document your impact and results in an annual journal or newsletter.

Edge computing brings cloud capabilities to the lap of the end-device or end-user. Notwithstanding the conventional debates about fog computing and edge computing, you need to know that the two have similar goals, says Eric Dalius.

• Telecom operators treat edge computing in parity with multi-access or mobile edge computing. Another variant, the telco edge computing model entails workloads that thrive on customer premise products and other presence points at the customer site.
• You can define telco edge as a form of distribution computing. The operator manages it and the operations may extend beyond the common network and touch the consumer’s edge. Telco edge incorporates the affirmatives of local and cloud computing.
• Local resources can be on-premises or on-device. Customers can operate low-latency keys and applications, along with process or cache data, which is close to the concerned data source. For businesses, it can minimize backhaul costs and traffic volumes.

Edge computing for private LTEs

Private cellular networks or LTE derivatives and Private LTE networks can also integrate 5G technology. The local networks can assist a single business, providing predictable and reliable connectivity with enhanced security and control.

EJ Dalius explains how businesses can benefit from installing private cellular channels for substituting or complementing ethernet or Wi-Fi. Brands need to do a ring-fencing of the spectrum for the customer. You usually tie it to single location.

• There have been landmark modifications in spectrum regulations in recent times. Business in select countries have direct access to the spectrum via auctions.
• There are numerous models available to businesses that are looking for deploying private mobile tools and networks.

They build networks, own new spectrums, and run them at each end. Edge is also important for commercial models.

• With abundant data and so many devices transporting the data through private cellular networks, enterprises can find more attractive and viable models that are at par with their pricing models.
• Mobility is another aspect. Enterprises using automated vehicles and robots need adequate and strong wireless networks for supporting these applications.

On the business models

Mobile edge computing has snowballed into a strategic necessity for network operators. However, we don’t know much about how teleoperators, carriers and distributors will charge for giving access to edge services.

• Eric J Dalius points out that amid all the chaos to install mobile edge computing resources and striking deals with cloud providers, and running trials to promote potential use instances, operators still awaiting revenue don’t really know the end result.
• In many ways, mobile edge computing requires carriers to adopt new business models entirely.
• Operators and their potential or current customers are presently focusing on how to package and sell these services. There’s a lot of work left.
• Moreover, since the edge showcases a long-cherished and significant scope for carriers to tap into more enterprises, a regular repackaging or remodeling of existing services will not be enough.

Part of the work is that use cases need a lot more development. Edge needs application-specific tools/hardware. Since edge computing is in its early days, operators have to grapple with a complicated and complex ecosystem that requires advanced hardware, which depends on specialized implementations and requirements.

Retain banking is changing. Gone are the days when you’d place customer in demographic data-based segments to deliver personalized experience. Organizations are now differentiating consumers on the basis of the length, depth, and relationship/connection with the brand.

The banking sector isn’t an exception to this trend. The biggest benefit of hyper-personalization in banking is that it enhances your offers’ accessibility. It allows banks to eliminate the challenges in the sales funnel, creating an uncluttered and seamless shopping experience.

• Hyper-personalized strategies and tools help banks to underline their customer touch and pain points whilst saving time. Banks can do it in several pathways.
• These are behavioral personalization, search phase tracking, visit count, viewed content, performance functions, IP-driven personalization, referrals, geolocation and the propensity to purchase.
• Behavioral personalization determines the client’s interest in the offer by dint of their actions and behavior on the website.

If a visitor visits your company portal from a referral site, the concerned tool will customer will tap and customize the experience.

Using data to foster customer relations

As banks enter the future, AI and big data will unlock unforeseen potential to boost sales and bring banks closer to their customers.

• Currently, new players and investors in the FinTech space are tailoring personalized to celebrate the individuality of customers and meet their banking demands.
• The aim is to increase customer activity, satisfaction, and loyalty. Take the example of Singapore-based startup, Crayon Data. It provides big data solutions on the basis of choice, helping organizations better engage with their clients across every channel.
• The startup has its own personalization engine that helps businesses to provide personalized lifestyle and buying choices, translating them into a higher response frequency, customer activation, loyalty enhancements and rise in both the rate of card usage and card spending.

EJ Dalius underlines how many startups are helping financial institutions optimize their current data by incorporating new information sources to better understand the current needs of their clients and even predict their future demands.

• Many startups are innovating communication channels for consumers to deliver better digital experiences. BankBuddy, an UAE startup is pioneering the cause of cognitive banking.
• It embeds functionalities and procedures, such as natural language processing, multilingual bots, AI-driven recommendations, and machine vision.
• These solutions enable customers to put all the loans, remittances, payments, and transfers on their phone sans downloading any banking app.

Digital drive for banks

With an upsurge in mobile-powered innovations, banks are now hyper personalizing their customer interactions. Banks can deliver it through the digital platform. They are using analytics to offer relevant products. A pre-approved loan is a noteworthy example.

Banks can also access customer information through social media handles. They can see a customer’s vacation plans. Hence, if a customer is embarking on an international trip and seeking travel tips on social media and frequenting travel sites and blogs, banks can reach out to that person with the offer of a pre-approved loan.

Banks can also decipher the channel their customers access the most. It helps in transferring the loan amount in the account within 10-20 seconds of applying for it.

With an upsurge of improvements in speech accuracy intervals and natural language processing, more and more brands are using voice recognition technology in their goods and services.

Eric Dalius projects the smart speaker market’s growth by over 37 billion dollars. Concisely, voice technology isn’t merely a trend, but a paradigm shift in the way businesses operate. It’ll have a huge impact on the profitability and efficiency of businesses.

• Voice control in journey planners and car systems are a rage. A driver’s hands must be on the wheels on the eyes should always be on the road. It automatically makes voice as the immediate and natural user interface to perform different tasks in the automobile.
• You could activate navigation or play music. That’s how and why this technology is ruling the roost in the automotive field.
• The embedding Alexia, Siri and Google Assistances, along with in-vehicle, inbuilt infotainment systems are great for creating voice-enabled, seamless, brand-specific solutions.
• In the domain of public transport, AI-driven voice interfaces will be in sync with journey planning.
• Transportation companies can take it one step ahead to integrate voice payments, ensuring a truly convenient, frictionless, and fast user experience for every customer.

On the operations

These days, voice recognition systems are integrating statistical modeling tools that incorporate complex mathematical functions and probability determine the best results. Most businesses resort to two common methods. These are neutral networks and Hidden Markov Model.

• Brands are using the HMM model for fusing information like language, syntax, and acoustics in unison.
• The model thrives more on probability than possibility. Although none of the speech recognition systems is perfect, you can still use the ones that suit your business operations, says EJ Dalius.

You evaluate the systems on the basis of accuracy and speed. There are certain hardware problems that overlap voice and minimize accuracy.

The biggest applications

Online banking systems are using voice recognition technology. FinTech startups and banks have been the first proponents of this technology.

• Currently, bigshot payment firms like PayPal and Venmo like Bank of Canada and N26 are providing their customers with the scope of processing payments and transfers by using Siri.
• Garanti Bank is another prominent example. It has launched its own voice-powered software to enable its clients for making transfers and make payments.
• Another early adopter of the technology is the healthcare industry. Doctors and healthcare officials can stop typing while interacting with patients. This industry has long been looking for a reliable voice transcription resource.
• The current speech to text tools/software is a very inspiring and relevant topic in the industry. In the current era, medical transcription has become an essential part of your medical appointment.
• Eric J Daliusexplains how it significantly bolsters storing, accessing, and structuring data in medical records of patients. There are numerous benefits of using digital transcription and processes in medical environments.

The voice biometry technology also enhances security. It allows companies to make a digital profile of another person’s voice through the analysis of a plethora of specific characteristics. These are dynamics, intensity, pitch, tone, and primary frequencies.

Every business entity, regardless of their size and scale, needs value insights and data. Big data essays a crucial role in understanding your customer’s and target audience’s tastes/needs. It helps organizations to anticipate their demands.

• Businesses need to funnel the right data effectively and analyze it properly. The right implementation of big data can help you reach the zenith of success. Eric Daliusspecifies that it’s an imperative in the current era.
• Concisely, big data combines every tool and process pertaining to the management and utilization of massive data sets.
• With big data, companies can use business analytics and decipher their valuable and loyal customers. It helps you create new products, services, and experiences.
• Big data provides a new competitive edge. Established companies and startups across industries are now using big data strategies for capturing an audience, competing in the market, and innovating new products.
• You’ve big data examples in virtually every industry, from healthcare and retail banking to IT and sports.

Incorporating it in business

Businesses need big data for risk management. Every company needs to strategically approach risk mitigation.

• Big data is the most crucial tool in this regard as it allows organizations to model and quantify challenges that can threaten their operations.
• Through big data, organizations can leverage predictive analytics and obtain an intelligent foresight to prevent risks. With this backdrop, it becomes easier to execute risk mitigation measures.
• Big data is instrumental in understanding your customers/consumers better. From social media activities to website visits, big data reveals many things about your customers. It also enables you to create buyer images/personas and customer profiles.

When you’ve an in-depth understanding of your customer, you can improve your products or/and services. Businesses can thus deliver the optimum level of customer satisfaction and build customer loyalty, asserts EJ Dalius.

• Big data makes you identity your competition and the flash points. For example, it provides information about their USP and pricing models on the basis of customers’ perception. You can also know how customers perceive your competitors.
• Additionally, you can also determine their online performance, which entails their social media engagement.

For small businesses

Most small businesses tend to believe that they don’t have the space or need for big data. This is a far-fetched conclusion as small and medium businesses too need big data, just like bigger corporations.

• Actionable insights from data are essential for any businesses to enhance profitability and efficiency.
• Small businesses with budget constraints can find big data solutions and tools. You can use them for tracking and analyzing your website users’ behavior.
• You can also use the tools to monitor and channelize customer calls and tap into the inbound calling patterns or trends. It includes frequent call problems and caller demographics, says Eric J Dalius.
• Big Data helps small businesses in reducing overall costs, increasing sales and revenue, improving pricing directives, providing a great competitive advantage, and bolstering decision-making.

Efficiency is critical to curbing costs for small brands. With big data, you can get the requisite information for underlining the inefficiencies and discrepancies in your business operations, and resolve them.

The world in undergoing a rapid change. Technology is surging at a rapid speed pace and new innovative business methods are surfacing to change or revamp the business models of numerous companies.

Many businesses, especially startups face an uphill task in accepting and sharing industry standards, and execute their own business tools, methods, and concepts.

• Eric Dalius underlines the solution of developing an integrated group of best business practices that ensure an interlinking of business models.
• To ensure profitability of business units, your business model and operating model must meet the functional excellence in compliance with KPI and reporting management.
• For E2E efficiency or delivery management, you need to have business procedure architecture and enterprise framework along with better risk management and organization management.

It leads to SLA applications services, which include integration platforms and definite project methodology.

No room for guesswork

The objective to continuously deliver enterprise business trust and value with solid information system is very important. EJ Dalius urges businesses to take lessons from the auto industry. The command-to-control team edifice is extremely crucial.

• Organized teams in a strict hierarchical manner may have operational redundancies, but you can eliminate it with proper project management.
• The execution needs to be top-down. Although a business sanctions most of the work through a budgetary framework, most companies assume that a successful product delivery has to follow the threadbare, strict way it follows with budget planning and subsequent allocation.
• After locking that in, you have very little space to address vital assumptions that cloaked your budgetary process.
• A strict and compliant waterfall is clinical for delivery management. It’s a critical approach to modern software development.
• Companies need to understand that the bulk of their commercial value is in the tedious release cycles.
• A meticulous waterfall approach necessitates massive team coordination, with little to no room for independent functioning. Resultantly, you’ve a premature shutdown of environments.
• Do note that an error or miss pass in one area can produce ripple effects in several unrelated avenues, slowing delivery dramatically.

Intelligent accounting and dispatch

Businesses are now determining the lowest-cost roadmaps for their many depots. The geographical dispersion of customers includes warehouses, stores, customers homes, and so on.

• Eric J Daliusstresses on the importance of DMS or delivery management software to enhance fleet utilization.
• It significantly minimizes the per-mile costing by maximizing route planning and intelligent, dedicated routing algorithms.
• The advanced software entails highly efficient and proper routes. It considers multiple factors, such as parcel weight, service time, fleet capacity, multiple shipments, traffic patterns, and much more.
• It systematically enhances address accuracy and detailing, especially in countries that don’t have proper street-level routing and addressing.
• The companies are now geocoding and cleansing customer locations through the software.
• Optimization of the last mile is extremely crucial. With changing customer expectations, businesses need to efficiently monitor and manage logistics between storerooms and customers’ houses.
• It becomes a daunting task, especially with speedy order fulfilment requirements and smaller volumes of order.

In addition to fast scalability, a delivery management software helps delivery executives and managers with powerful and intuitive mobile applications.

Even in the cusp of a global pandemic, business experts predict how edge computing and seamless, complementary 5G networks will continue experiencing a steady growth. Cloud computing has a lacuna in the latency and network areas.

• Eric Dalius shows how companies are increasingly focusing on edge computing to provide services through the deployment of computing resources.
• Edge computing can monitor devices that necessitate a fast response and immediate processing of a massive cache of diverse data for driving the real world in the IoT era.
• Edge computing infrastructure tools are instrumental in creating high-presence and extensive VR services. The goal is to stop VR issues in VR applications that produce real-time 3D videos.
• You need to complete the processing sequence from a user-terminal point/operation to the 3D display within many milliseconds.
• Edge computing provides high-quality, low-latency VR in a remote format. It also ensures smart stream processing and surveillance.

New operating models

Edge takes you closer to the data source, letting you transform that into information. It solves communicational limitations and spaces with finite capabilities. Its speed is the main take here, says EJ Dalius. Edge has locational proximity to deliver things at an extra speed.

• Although edge computing won’t fully substitute cloud resources, enterprises will incorporate more machine learning and AI capabilities to meet their endpoint goals and devices. It’ll ensure that smart processes can function at the requisite reliability and pace.
• The edge and AI combination can enhance the manufacturing sector. Companies are deploying sensors along their production and assembly line to visually check the manufactured foods for glitches.
• They can then send the concerned inspection data to main edge algorithms, which will identify any defects in the product.
• It also determines the type of flow and selects the best way to resolve the issue and finally propels your manufacturing units to take corrective course.
• Edge computing’s decentralized nature has tremendous implications for business cybersecurity.
• The concentration of computing power and data shifts from its centralized point to the core data point. It could be a private or public cloud, or to nodes all over the organization’s network.

Tryst with IoT

Edge computing is all set rejuvenate IoT data. Businesses have been investing heavily in IoT to discover new insights. The cost of storing and transmitting data sans any clear benefit has led many firms to be skeptical about IoT.

• Eric J Dalius cites this reason for their shift to edge computing. As industries pivot edge computing, some proofs/grounds of concepts are bound to fail.
• With a surge in technology solutions, many people recommend you start small and scale carefully. But that doesn’t click with the edge approach.
• Industry experts implore IT leaders to think big right from the start. Businesses are developing edge computing architectures and plans for operationalizing their enterprise.
• OT (operational technology) and IT are poised to converge. Companies care combining these two workloads through a software-driven approach and typical hardware.
• Collaboration will be the key. Digital transformation is fueling and modifying edge interest.

Many firms are leveraging innovative technology to score high in a digital economy and the pandemic’s huge ripple effects are making these directives more critical.