The Internet of Things (IoT) is expected to transform a great many things after the world finally realized its technological merits and vast potential. Apparently, IoT has already started doing its thing transforming not only the way businesses operate but also how people live. IoT’s most recent evolution was triggered by the advancements in various technologies including the cloud, edge, AI, analytics etc. As of now, it is still considered to be in its infancy which makes it a gamble that many enterprises are reluctant to consider.

Forrester however sees great things in store for enterprises that are willing to invest in IoT. According to the famous research company, owing to the presence and influence of IoT, enterprises are on course for a major overhaul in 2019.

Here are 5 predictions from Forrester on how IoT will remodel enterprises next year.

Enterprises will make a big move to motivate the consumer market

Enterprises pitch IoT for the average consumer as a vision of a centralized, interconnected ‘smart’ home. But so far the response is lukewarm at best. Consumers are not just there yet and are exploring options for the so-called ‘smart home’ by buying one app-enabled device at a time. If it’s allowed to go this way, things will remain the same next year as well.

This is why Forrester predicts that enterprises would make a big move next year, most likely by bundling IoT services together and presenting them with discount offers to motivate the consumer market.

The focus will be more on use cases

At present, the Internet of Things is more of a hazy jargon for people – something that’s hyped to do big things in due course. Michele Pelino, the Principal Analyst of Infrastructure & Operations Professionals at Forrester, told TechRepublic that in 2019, the buzz around IoT will focus more on the actual use of the technology.

The conversations would be about the many use cases of IoT, the solutions, the applications etc. The world will be more aware of IoT’s true potential of combining different kinds of solutions in a secure, analytics-driven ecosystem to solve a problem.

More IoT platform partnerships and competition

IoT platform vendors will be targeting specific use cases next year according to the Forrester report. Business professionals won’t be looking for one single platform for managing various business processes in an organization, and would instead seek platforms with specific specialties.

The approach is already commonly practiced by organizations who did their fair share of research on IoT and the cloud. It’s safe to assume that major platform vendors would be putting in an effort to appeal to more people and outpace increasing competition by specializing in more use cases of the Internet of Things. We can certainly expect the birth of more IoT platform partnerships next year.

Managed IoT services market will flourish

With IoT expected to considerably influence how enterprises operate next year, many organizations with IoT expertise will attempt to capitalize by establishing a managed IoT services market. They will be focusing on helping companies manage their fragmented IoT assets.

The whole idea of managing the lifecycle of interconnected devices will be given more importance as more connected products are made available in the market. This would subsequently lead to more managed services opportunities. As the trend gains momentum, IoT will get some extra boost next year to go mainstream faster.

Cybercriminals will get more opportunities to cause damage

Cities have started becoming smarter by using connected devices to implement various ‘smart’ actions like smart traffic controls, smart lighting, smart transportation etc. Such an ecosystem with a variety of connected devices will most certainly have security vulnerabilities that can be exploited. This has always been one of the major concerns associated with the Internet of Things.

Forrester analysts expect targeted ransomware attacks next year by cybercriminals exploiting the vulnerabilities in successful smart city or smart neighborhood implementations. The attack can push back the growth of IoT and might give consumers second thoughts about using IoT devices. There will also be some disruption to services. The repercussions of cybercriminals exploiting security vulnerabilities of an IoT ecosystem will force the public to seek better security, while organizations invest more in beefing up security and minimizing the risk of cyber attacks.

Conclusion

IoT will be turning a lot of heads next year, and we will see enterprises not only competing to meet consumer demands but also teaming up to specialize in specific use cases and be more marketable in the process. IoT waves will also impact several other industries including mobile app development. For the connected devices to do what they are designed to do, an app should be overseeing them. IoT app makers have their work cut out for them.

AOT Technologies have been preparing for this scenario for a while now, slowly yet steadily polishing our skills with IoT and a number of other ‘new-gen’ technologies. Feel free to talk to us to learn more about IoT and IoT apps.

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With enterprises having realized the massive potential of mobility, the demand for mobile application development exponentially increased. The global enterprise mobile app market is expected to cross $280 billion before 2020. There is an app for pretty much everything now, and developers are constantly looking for ways to bring more innovation into apps while new-gen technologies emerge.

Because the industry is so big, even a small shift in trends would heavily influence how mobile application development is carried out. And there will certainly be new trends replacing old ones, especially when the industry is full of organizations competing with each other to figure out the best ways to serve mobile users or potential customers.

The rising demand for mobile app development

The increasing demand for mobile apps and, subsequently, mobile app development is due to a number of factors including but not limited to:

  • Accessibility – According to Statista, as of 2018, there are over 4 billion mobile phone users in the world. This emphasizes that people consider mobile devices an invaluable tool in their day-to-day lives. It’s now the primary tool that people use to access the internet and find information.
  • Customizability – Mobile apps are customizable. Though apps will practically never be able to meet the requirements of all kinds of customers, they can still impress a good majority. Internal enterprise apps can be customized to serve the organization’s employees, and the external apps can be customized to engage and serve customers.
  • Internet usage trend – High speed internet connections are available to anyone today at reasonable prices. Such accessibility changed the way people find information, increasing reliance on the Internet. The proliferation of mobile devices only complemented this practice. People spend a good majority of their time online using mobile devices.
  • Increase in BYOD – Technological advancements and rapid digital transformation techniques have started changing work culture in enterprises. Companies now allow employees to bring their own devices to work with the help of mobile apps that facilitate collaboration, remote accessibility, and remote work management.

Trends that will change things further

For public enterprise apps, satisfying customers and making a profit out of the deal is the objective. To do this, their apps will have to be designed to provide the best user experience possible. This is kind of tricky as mobile apps run on devices of various shapes, sizes, and hardware specifications. It’s up to the developers to figure out how to provide great UX and, in the process, obtain maximum ROI.

That’s how it’s been till now. Let’s see how things might take a turn next year by observing emerging trends in enterprise mobile app development.

Redefined mobile strategies

As new trends emerge and are adopted, enterprises will have to make adjustments in their mobile strategies as well. This trend repeats every year without fail. This time around, fresh mobile strategies are going to turn a lot of heads thanks to AR and VR. AR and VR-driven mobile experiences are predicted to increase revenues for businesses tremendously. AR and VR hardware would go mainstream next year subsequently leading to widespread reception of AR-VR mobile experiences.

Instant apps will make a comeback

Instant apps garnered a lot of attention in 2016 when they appeared for the first time. They are essentially small-sized native apps that can be instantly launched without any download. Modern mobile users demand a great UX that features shorter load times and better performance. Instant apps are the answer to this. Though they are kind of not that active right now, instant apps will most likely make a comeback next year.

Better mobile UI/UX with predictive analytics

Mobile apps have evolved from being simple utilities to being a core component of business’ workflow. But for the app to succeed, it should satisfy its users. Big companies like Apple and Google are already leveraging Artificial Intelligence to utilize predictive analytics in order to enhance customer journey, user interface, and overall user experience of their apps. We will be definitely seeing further advancements in this sector next year.

Even more mobile app security advancements

As years pass by and cyber-crimes increase, mobile app security is expected to become more robust. Any technology can have security vulnerabilities that can be exploited. There are now mobile apps out there that handle confidential data of their users and perform financial transactions on a daily basis. It’s open season for cyber criminals. This being the case, there’s always been a demand for better security techniques and approaches.

This trend isn’t anything new, but judging from a major shift in mobile culture owing to technologies like AR, VR, IoT etc. going mainstream, mobile app security will be getting some major upgrades next year. App developers along with technology vendors will be investing more of their time in enhancing mobile security.

More recognition for mobile wallets and payment gateways  

Technological advancements made everything much more convenient to people owning mobile devices, and this also includes easier payment methods. The improved services and convenience have changed customer expectations to the point that they expect mobile apps to facilitate frictionless payments during shopping. This is how the transition from cash to credit cards, mobile wallets, and digital currencies happened.

Mobile Commerce is a big industry now, and preferred more simply because it’s the most convenient way to shop. An easier payments mechanism adds to the experience. In 2019, we will witness more app developers integrating secure payment gateways and mobile wallets into apps.

Chatbots will extend CRM

Chatbots are about to gain great momentum in the digital realm, evident from a recent Statista report. The report forecasted a global Chatbot market growth that will exceed 1200 million U.S. dollars by 2025. Chatbots have already started becoming prevalent in the form of virtual assistants in mobile and web apps. AI will soon be augmenting chatbots to cater to mobile users in a smarter, more human-like manner.

Conclusion

There has always been an emphasis on smartphones and mobile apps leading to the future. And it’s been happening for the last couple of years. Even with new-gen technologies like AR, VR, IoT and AI gaining more traction, mobile apps still remain the most influential digital technology today. This makes it all the more exciting to see how mobile app development will transform as trends change in 2019.

The experts at AOT will be keeping an eye out for trend shifts in app development too so we can continue developing top-quality mobile apps for our clients. Drop us your queries to learn more about AOT’s app development expertise.

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Over the years, businesses utilized a number of advancements – both technological and industrial, to accelerate their growth and increase their profits. Of all that which businesses have leveraged so far, one particular advancement stands out for its massive potential – Data Analytics.

With extensive data analytics, businesses can uncover valuable insights from the tremendous amounts of seemingly senseless and random data they generate. Armed with this information, organizations can tweak their business strategies for better results.

What makes this ‘big data’ awesome is the fact that it shows great promise for all types of enterprises irrespective of their sizes. Through big data analytics, enterprises can not only increase the revenue generated but also identify security vulnerabilities and gaps in their services and products. Big data is still an evolving technology however, and like every evolving technology, it is also shrouded by a lot of myths and misconceptions.

This blog debunks a few of the most popular myths that deter businesses from checking out big data.

Myth 1: All that matters is size

The first thing that anyone can think of when hearing the term ‘big data’ is the size. As such, there seems to be a myth that the main defining trait of big data is the sheer size or volume of data involved. This is not the case. Though size is certainly one of the main characteristics of big data, it isn’t the only important one.

The volume of data involved demands sufficient storage systems. But big data also requires high velocity data processing mechanisms to deliver relevant, more up-to-date outcomes. The data come from various sources which means the outcome may vary from what was expected. The data being handled by big data should be also be veracious and the insights from these data should provide value.

From all these facts, we can infer the most important traits of big data other than size or volume.

Velocity. Variety. Veracity. Value.

Neglecting these features can result in an improper implementation of big data that can complicate simple solutions and deliver irrelevant results while wasting resources.

Myth 2: Big data is a collection of high quality data waiting to be processed

Big data is a collection of a lot of data sets that can include both relevant and irrelevant data. All that data don’t necessarily have to be of high quality. As a matter of fact, without proper data filtration mechanisms, big data analysis can result in a lot of data quality errors.

Many organizations opt not to clean the data before processing to avoid the hassle of dealing with such large amounts of data. Data cleaning also requires the organization to invest more in big data. This practice most likely ends up with big data failing to do what it’s expected to do. For big data analysis to be effective, the data should be cleaned. This helps the system provide more accurate results.

Myth 3: Big data predictions about a business’ future are highly accurate

This myth is based on the assumption that the volume of big data is directly proportional to the accuracy of big data analysis results. The more data one feeds into the system, the more accurate the results will be. But that’s a myth however. Data certainly hold great value for modern businesses but there are other factors that are just as important if not more.

A big data system will never be able to accurately predict a business’ future by simply analyzing data. Factors like economy, technological advancements, human resources etc. directly influence the success of a business, and data simply won’t be factoring in everything that directly or indirectly influence the business’ success. What big data can do is extrapolate future possibilities by comparing and analyzing historical data.

If the business uses real-time data instead, the system will be delivering predictions based on a probability theory i.e. the results still won’t be certain. However, it’s true that the accuracy of forecasted results will be higher if the data fed are relevant and of good quality.

Myth 4: Big data is expensive

That’s the myth all right. This is the fact – big data ‘was’ expensive. Back when big data started turning heads for its potential, only big organizations and government bodies stepped forward to invest in it. The investments weren’t small either as organizations required large-scale data centers and talented big data professionals to wield big data properly.

But time has changed. As big data garnered praise from all directions, many vendors stepped forward reducing the licensing costs of big data tools and making them much more affordable to small medium-sized businesses. In addition, new tools and techniques are also being introduced to help smaller businesses perform big data analyses.

Myth 5: Big data is centered on machine learning technology

Machine learning certainly is associated with big data. But big data isn’t centered on machine learning. New generation big data analyses make use of complex machine learning algorithms to derive sensible and relevant insights from massive data sets. That’s the whole concept of Machine Learning – using data to uncover information that can help an organization or an individual make meaningful decisions. Both technologies are used in conjunction to deliver expected results. Big data can exist without machine learning.

Myth 6: Big data is all about analytics

What’s strange about big data is that it has multiple definitions, and most of them are accurate. A simple Google search would get you at least a dozen different yet valid definitions of big data from various sources. While some consider it as massive data sets, others see it as an analysis technology that can process massive data sets. The fact is that big data is something much bigger than data analysis with many capabilities to solve a variety of problems with data.

Conclusion

For big data to truly live up to its name in an enterprise, it should be seen as something more than a lot of data being processed. It needs to be managed and overseen by experts who can tell myths from facts.

If your enterprise is planning to leverage big data and is looking for expert guidance or automated solutions, you are at the right place. AOT’s deep expertise in a wide array of technologies including big data and AI/ML can ensure maximum big data ROI. Drop us a message to get started.

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Small, medium-sized businesses have access to a plethora of affordable digital tools and technologies today though not all of them are well-equipped to choose, implement, and maintain some of those technologies. Despite a slight positive shift in IT priorities over the years, SMBs still struggle with new technologies and are hesitant to invest in them.

Back in the day, the challenge for SMBs was in finding the right solution technology can provide. Now they have too many ‘right’ solutions. Figuring out the right combinations of effective technologies is even more challenging for SMBs that can’t match a larger organization’s resource capabilities and investment potential. Overwhelmed by such challenges, most SMBs are bound to make mistakes one way or another, and these mistakes can severely hurt them.

Here are 4 such harmful mistakes that SMBs can avoid.

No planning when it comes to adopting a technology

This particular mistake may sound simple but it’s much too common among SMBs. These organizations see things in a simple way – “use this tech, get these benefits”. On the contrary, they should be seeing technology as something that solves a business need as opposed to something that makes doing business easier. For this, the businesses should be clear on their business needs and how the technology they’ve chosen can address them. Documenting and figuring out the answers to all those questions they can have about adopting a technology is the first step to successful planning.

Taking a quick leap of faith

When SMBs decide to use a tech, they often tend to make quick decisions regarding the adoption of the tech. The near-endless tech options they have can overwhelm them to quickly pick a tech that impressed them somehow –an attractive price tag, appealing feature etc.

This haste can do more harm than good for the business which could end up with a tech that looked the part but simply doesn’t fit in. To avoid this, SMBs need to realize that figuring out the right solution is going to take some time. They can also reach out to peers or go for free-trials to understand technologies better before picking one.

Ignoring maintenance

Once a small business gets a tech implemented and working, they may sit back expecting all the benefits to come their way. They don’t realize that the technology requires proper maintenance to deliver consistent efficiency. The business will need to periodically check whether the technology is secure, and meeting is their needs.

Not understanding which tech can help them grow better

Every business wants to grow bigger and generate more revenue. Using the right technology facilitates the best growth for the business. But smaller businesses often misinterpret this fact and go for the best technology instead of the ‘right’ technology.

For instance, VR and AR are two of the hottest technologies today that businesses are struggling to leverage. Investing in them just because they are trending now may not result in the growth that the business expects. It’s important to identify and prioritize which technology the business needs to grow.

Conclusion

Some SMBs are reluctant to invest in new, trending technologies. But when they do, they expect quick results. This and several other misconceptions, and the challenges of implementing a chosen technology could lead them to make mistakes that can have serious consequences. They can either meet the challenge head on or seek assistance from a technology expert.

AOT’s IT consultancy services can help your business figure out the right technology for faster growth. If you have more questions, drop us a message now.

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Modern day customers are used to getting things fast – fast internet, fast mobile devices, fast transportation etc. This changed their expectations as well. Customers now expect businesses to be expeditious when it comes to delivering products, services, and support. This is why many organizations adopt Agile.

Not all organizations manage to successfully implement and run an Agile ecosystem however. Nevertheless, the ones that are willing to adopt the methodology are granted a plethora of benefits in return that subsequently get the businesses a few steps closer to success.

That said, here are a few of those benefits organizations can get by adopting an Agile approach.

Faster time to market

Project teams are often put under pressure to get deliverables market-ready quickly. This is because the global economy is quite fast-paced not to mention competitive. Faster time to market is crucial for modern enterprises. Agile grants this benefit without compromising quality of the deliverables, provided it’s implemented properly with sufficient planning.

More room to innovate

Some organizations believe that technology is the main influencer on innovation. On the contrary, it’s people or the intellectual capital that influence how innovative an organization can be. A business lacking innovation would soon be outpaced by the competition. A more agile and nimble approach allows the business personnel to collaborate more effectively and bring innovative ideas into fruition without delaying the project.

Improved product quality

Customer experience is an important factor that directly ties into the success of a business. If the business can provide excellent customer experience along with quality products/services, they will gain the loyalty of their customers. Successful organizations often go out of their way to make sure their customers are happy. An agile business will be responsive enough to meet customer needs efficiently and deliver quality products/services to them on time which would impress them even more.

Boost employee morale

Keeping employee morale high should be a priority for business to maintain or even improve productivity. Increased productivity influences a business’ ability to enhance the quality of their deliverables. In an Agile environment, organizations give room for their employees to showcase their skills and innovate. Knowing that their efforts are being noticed and their contributions are being appreciated boosts the morale of employees which in turn boosts their loyalty and productivity.

Increased business efficiency and reduced risks

With Agile methodologies, business will have shorter release cycles and frequent deliveries for their products. This also enables them to ensure that quality of the final product is the best the team can achieve since each iteration of the project will be checked at every stage.

As the stakeholders will also be involved with the project along with a team, the risk of the team spending time on low priority activities is eliminated. In addition, the project will be accessing the market faster allowing the business to start generating revenue while the team keeps on improving the product.

Conclusion

There are even more benefits that an Agile ecosystem can provide an organization with. However, we thought these five required special mention. Agile project management is one great approach with which modern businesses can thrive in highly competitive and dynamic markets.

Agile is how we do our projects here at AOT. Talk to our experts to learn more about AOT’s Agile environment and its role in our punctual deliveries.

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