7 IoT Trends on the Rise

Look Out for These 7 Trends in the Internet of Things (IoT)

 

Trends include the rise of cloud computing, big data convergence, artificial intelligence, smart cities, and more

 

By Leila Kojouri

 

The internet has become a beastly enterprise, with the past ten years seeing more technological advancements than perhaps any other industry. The Internet of Things, or IoT,  for example, is one such advancement gaining immense traction in the marketplace. Here are 7 IoT trends to look out for this year.

 

1. Big Data Convergence:

IoT is changing the way we live and conduct business exponentially, generating a huge amount of data in the process. Big data platforms, for example, are usually made for supporting the demands of large-scale storage and for performing investigative work.

 

Interestingly, IoT and big data have a lot in common. Smart devices, for example, are now being designed specifically for the purpose of digesting massive amounts of system and user generated data. The cloud has proven instrumental in meeting analytic and storage requirements in the realm of big data. Moving forward, the junction between IoT and big data will definitely be a trend on the rise.

 

2. Data Processing with Edge Computing:

Albeit a powerful force, weaker elements in IoT are evident in the addition of devices behind the firewall of the network. While Securing the devices may be easy, securing the IoT itself proves a trickier phenomenon. Thus, security measures must exist between the network connection and the software applications linking to the devices.

 

Perhaps the most notable benefits of IoT are it’s cost-effectiveness and efficiency, especially in data processing. Rapid-fire data processing is prominent in most smart devices, re: self-driving vehicles and intelligent traffic-lights (aptly coined, “smart lights”). Edge computing has been proposed as a potential solution, gaining immense popularity.

 

Edge computing usually outperforms the cloud when it comes to speed and cost. Faster processing translates to lower latency, which is one of the premium benefits of edge computing. Data processing with edge computing will see an uptake in IoT trends in the near future, for certain. 

 

3. Auto-ML (Machine Learning) for Data Security:

In present days, developers are tasked with finding newer methods in which people can share data securely by the use of block-chain-like technologies. Many industrial companies are learning how to trust and accept the forecast of machine learning models (otherwise known as “predictive analytics”), and will acclimatize their operations for preventing the downtime by model outputs.

 

Machine learning model training will likely become a highly automated process. Industrial companies in particular will increase the large capital assets, particularly in cloud computing, in the near future. 

 

4. IoT – Massive Growth Coming:

When it comes to data analytics, IoT is perhaps the most promising technology to date.  Smart devices ingest more data and information about the devices and users, and by 2020, it is expected that IoT devices will exceed 31 billion. Today, we see IoT devices as the major part for reporting and tracking.

 

 IoT is capable of the extraction, storge, and analysis of massive data stores. When coupled with other ground-breaking technologies, like Artificial Intelligence (AI), for example, the essential data can be appropriately measured, filtered and categorized.  IoT trends will most definitely see an increase in the amount of “work” smart devices are doing. What’s more, they will serve to assist data scientists and technicians in providing powerful, insightful suggestions.

 

5. Better Data Analytics:

Chances are, you’ve heard some of the hype and clamor surrounding artificial intelligence in modern business practices. The merger of IoT and AI has seen many recent developments, as the two can be used interdependently to provide e a centralized decision-making tool for all types and sizes of businesses.

 

AI and machine learning are systems that can easily identify trends, patterns, and unique behaviors otherwise invisible to the naked human eye. Better data analytics and the need to safeguard this said data are two major reasons for the rise of this trend. By collecting insights from this data, we could even suggest it be rendered to help us make better decisions in our personal lives. The sheer intelligence, thoughtfulness and self-learning capabilities make this a hugely popular trend to look out for in the near future.

 

6. Smart Cities to Become Mainstream:

When it comes to data collection, many states have adopted a more technological approach – replacing or improving upon antiquated infrastructure; integrating sensors to reap data that proves invaluable for the purpose of urban planning and development. Prepare yourself for the integration of IoT into just about every sidewalk, crosswalk, highway, and byway, as data collection becomes less of a convenience and more of an evolutionary imperative for American progress.

 

Cities both nationwide and globally will become pioneers for the great data exchanges affording accessibility and empowering evidence for better decision-making. Ultimately, the digestion and dissemination of this unique, all-telling data will provide a fundamental platform for both private and public organizations, and the citizens under their watch.

 

IoT integration for the sake of developing “responsive cities” can accomplish goals such as lessening traffic congestion, unlocking sustainable development and improving safety precautions. 

 

7. Personalization of the Retail Experience:

With IoT, the efficiency of supply chain and information systems management has grown by leaps and bounds with respect to retail. Sensors and other smart beacon technologies are being used to tailor shopping experiences with ease, speed, and accuracy like never before. 

 

In the not-so-distant future,  IoT can be used to monitor, gauge, track, and personalize your investment portfolio – making unique, custom trade recommendations based on your data insights.  Or, imagine getting notified immediately when a highly-sought after product from your favorite shop is discounted via push notification which when expanded, offers an indoor map of your favorite shop – leading you to the exact product you desire. 

 

The value of this trend ensures the better integration of personalized retail experiences which ultimately can bring upon a new era of shopping as we know it. 

 

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Giving the Green Light with QA Automation Testing

Improve customer experience, business processes, and enhance technical skills with QA Automation

 

2019 will be remembered as an important year for software testing – with a record 97% of Agile adoption according to Forrester. Upon entering 2020, it’s time to identify several new software testing trends in hopes of achieving new, strategic heights.

 

As advancements in testing approaches and techniques continue to surge, QA teams strive to improve their skill sets. This is crucial in maintaining synchronicity with rapid technological advances that effectively make of break software delivery strategy.

 

What trends have shown promise in 2019?

Creating a unique, refined, and savory customer experience has taken center stage in 2019 software delivery trends. Growing organizations rely on high-quality software to systematically produce succinct deliverables.

 

Moving forward, development teams must consider the following trends to maintain a competitive advantage in a fiercely expanding market.

 

Crafting a Quality Customer Experience

Remember testing was merely about bug finding, reporting, and fixing? We’ve come a long way. Now, testing trends are aligned with a central theme: customer satisfaction.  

 

As it stands, customer experience is the key differentiator for consumers when it comes to product choices. Customers expect more from their suppliers than ever. The advancement in technical areas like performance and DevOps are fundamental in creating a great end-user experience.

 

Performance engineering seeks to create a phenomenal,  one-of-a-kind customer experience. This is done by observing how the entire system, including hardware, software, configuration, etc. communicate and collaborate together to generate business value.

 

AI Finds its Footing in Business and QA

The rise of automation and Artificial intelligence was predicted in last year’s trends. Nevertheless, it has been included this year as companies will analyze how artificial intelligence applies to their business. According to The World Quality report, 55% of respondents said that this was their main problem with setting up AI projects.

 

With regards to QA, more companies are expected to adopt machine learning techniques in areas such as predictive analytics (predicting future outcomes of the testing process based on historical data), defect analytics (highlighting at-risk areas of an application) and test suite optimization (identifying redundant test cases).

 

The use of AI in testing might require newer skills which will eventually lead to organizations creating new roles for AI QA strategists, data scientists, as well as AI test experts in QA and testing teams.

 

Instant Apps Take the Spotlight

Instant apps are native mobile apps that are smaller in size. Thus, more convenient for the user who is no longer required to download a standalone app.

 

The demand for better user experiences and shorter load times are constantly increasing.

 

Google’s introduction of Android App Bundles allows developers to modularize their apps and deliver features on demand; this will make more organizations adopt the Instant Apps approach.

 

QA Decentralization

The QA and testing department has been fragmented as a result of the transition to agile and DevOps. QA is now embedded into cross-functional teams. So, quality is dependent on the team members’ skills and their responsibility to integrate testing into their product lifecycle.

 

Continuous Improvement

The trends mentioned above have contributed to the rise in the adoption of Agile & DevOps over the past few years. Testing is an early part of the development process. More companies will adopt more agile/DevOps models to help them release faster and receive quick feedback. Other companies will take it a step further by adopting approaches such as continuous testing and continuous monitoring.

 

An attitude of “continuous improvement” will enhance the overall performance and quality of products by teams.

 

Quality Engineering over Quality Assurance

QA professionals will enhance their technical skills and include some automation-related work organized by quality engineers. The role of Quality Assurance will deviate to implementing the latest technologies to boost the speed of quality checks. This is a trend that will come into play in the coming years.

 

Big Data Testing

With big data testing, testers have to verify that terabytes of data are successfully processed. Additionally, the aggressive increase in quantity is making it more tasking for companies. More likely, QA will have to deal with validating the quality, accuracy, and consistency of huge datasets.

 

These trends above demonstrate the crucial transformation both companies and QA is undergoing. The expectations of consumers will continue to shoot up. Organizations must adapt and deliver if they must remain in the front line and grow beyond 2019.

 

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3 Ways IT Leaders Can Save Time and Boost Productivity

Optimize time and productivity by eliminating redundant practices and adopting efficiencies in your workflow

 

Time moves unforgivingly fast in the world of information technology.

 

So fast, in fact, that keeping a well-oiled IT machine requires finding efficiencies, eliminating time-wasting approaches and taming bad habits at every juncture.

 

The following tips can help you maximize time within your organization.

 

1. Maximize Cloud Usage

The cloud is an amazingly effective tool for collaboration, allowing colleagues to view progress and make rapid-fire changes quickly. However, there are risks involved, as cloud solutions can attribute to new problems, and waste time if not properly implemented.

 

Because so many point solutions exist, organizations at times end up with application sprawl and fail to share valuable information among cloud solutions.

 

Further, caution should be exercised with shadow IT – making absolutely certain that services are secure, functional, and deliver the expected results.

 

2. Make E-Mail a Cleaner Medium

When technology wastes more time than it saves, it backfires. E-mail represents this dilemma well. The primary form of communication for most all organizations, e-mail messaging is quite hard to abandon for other forms of messaging.

 

Stress-inducing components involve scanning through endless waves of unnecessary or uninteresting e-mails, which can often distract one from seeing an important email needing urgent attention. What’s more, ineffective email practices also serve to waste your time, and your coworkers.

 

For example, cc’ing several colleagues on every email causes those colleagues to spend time opening your email, consuming the information and then making a judgment if they should take action or not – when most of these emails weren’t intended for these people anyway.

 

As a result, this bombardment of messaging creates huge inefficiencies in your organization. Add new people to a message thread with purpose – summarizing information or action points on an as-needed basis, to save the recipient precious time and provide a concise action-item.  

 

3. Expand Your Network

An often highly-underestimated tactic involves seeking out the experience of our peers. Doing so expands your professional network — and incorporates your network into decision making – that can save you loads of time and stress.

 

Avoid getting burn-out by bouncing ideas and questions around, an incredibly important philosophy in sustainable IT practices.

 

By speaking with others, we’re quickly reminded that certain problems are not unique to our own organizations – and we can collaborate, with ease, to work through similar issues and help one another.

 

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Big Data: More than a Numbers Game

Big Data capabilities are a vital aspect of identifying, assessing, and leveraging insight for competitive advantage.

 

Typically, you can rely on your IT team when it comes to everything big-data related. On the other hand, your business team is faced with the challenge to identify opportunities. Understanding how to link data to customer demands and marketplace metrics is essential for producing significant outcomes. Minding the gap between teams is one of the biggest obstacles while undergoing this process.

 

How do we overcome this obstacle, you ask? Start with acquiring a C-Level Sponsor who leads, commits and holds organizations accountable to a Big Data strategy. The three goals of the C-Level Sponsor are:

 

• First, you have to have a plan. It takes a strategy to get you there.
• Second, the plan must put together a proven set of formulas, approaches and methods to win. There is no way to luck into success. As my high school football coach used to say, “Luck is when preparation meets opportunity”.
• Third, is to establish the strategy outcomes by answering the question, “Why are we doing this?” This answer should be quantified in business value creation dollars and remain the focus and measurement of the success of the strategy.

 

CEOs are being asked by the investor community and/or industry analysts to share their organization’s Big Data strategy. The investment community is wise to the fact that organizations that deploy and adopt Big Data and Predictive Analytics provide for long term stability and value gain to the shareholders. With the failure rate at approximately 70% for Big Data projects, it is important for the C-level Sponsor to mitigate risk and dollars in establishing a successful winning strategy. A winning strategy aligns executive, operational and IT goals into a single focus for significant value gain to the organization, shared responsibility and transparent accountability.

Seek outside help with an IT Consulting Partner who earns the trust of IT, Business & C-Level to help guide your organization through the strategy, process, methods and multiple POCs that are needed. There are many advantages for partnering with an outside trusted advisor:

 

• They accelerate your organization’s adoption of proven methods and approaches that guarantee success.
• There are politics in everything these days and Big Data has Big Politics attached internally with careers made and loss on such decisions; leverage an outsider to help manage through the status quo successfully because they have done it many times before.
• Having a trusted voice that is vendor neutral and is concentrating specifically on your success. Assisting you in managing vendors and proving out their claims before investing millions of dollars.
• Your team gets immediate access to critical key talent with a proven track record that you currently do not possess internally or cannot find.
• A trusted advisor guides the building of a cross-functional team and helps create a common set of semantics for communication. Big Data problems are modeling problems, and the models you are trying to create are those of the entities on which you gather data. The dynamics of the data and the products that derive from them are so dynamic that the business and IT folks need to be part of the same discussion and accountable as a team.
• Making the project successful, will require that the cross-functional team avoids any folks that are part of the old way of thinking; otherwise, the gap will persist and widen. A trusted advisor keeps a keen eye on the team and engages the C-level sponsor as needed to guide focus and outcome.
• Most importantly, they keep the focus of Big Data directed on outcomes that support the business and valuable outcome.

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E-Commerce Trends on the Rise

Trends in e-commerce technology include mobility, digitization, customization, speed optimization, chatbots, and more

 

According to research conducted by BigCommerce, 80% of people in the U.S. make purchases online at least once a month. While the majority of people shop on large marketplace websites like Amazon, roughly 30 to 40% also purchase from online retailers like web stores, independent boutiques, and category-specific e-retailers. This year we’ll see several e-commerce trends emerge with the potential to transform how we shop and communicate with online stores. 

 

1) Mobile first

 
In 2016, mobile commerce sales accounted for over $25 billion in sales, an increase of more than 25%. This figure is predicted to continue to increase, reaching over $30 billion in 2017, and $42 billion by 2020. Mobile traffic has overtaken the desktop. Google is working on a new, mobile-first web index and marketing strategy. According to these trends, it’s critical to business to put mobile first, rather than simply optimizing for mobile.

 

2) Digital payments

 
Mobile payments are on the rise as smartphone users adjust to the convenience of contactless payments. Starbucks was an innovator in mobile payments, becoming one of the first to offer products based on an online payment model. In 2016, an increasing number of customers adopted digital payment methods, using their phones, cards and even watches to complete contactless payments. PureNet predicts that every customer will expect to be able to complete their transaction using a digital wallet in real time.

 

3) Personalization and Customization

 
The amount of data available increasingly allows content, ads, and products to be shown to the right people at the right time, across the web and social networks. The continuing sophistication of personalized recommendations will be trending for ecommerce this year. Retailers will embrace personalized experiences – even using e-mail marketing to cater personalized emails to consumers, rendering unique customer experiences. and Artificial Intelligence by starting to collect behavioral data like browsing history, geo location, and social media from website visitors and developing highly targeted campaigns based on customer segments and previous online experiences.

 

4) Fast delivery

 
Ecommerce delivery timescales have reduced drastically and become much faster, boosting customer relationships with ecommerce sites. Delivery and returns have always been one of the pain points of the online shopping experience, but improvements in technology have improved delivery significantly. PureNet predicts same day delivery will continue to rise in 2017, and more ecommerce integration with drop-off point providers such as Doddle.

 

5) Competitive Platforms 

 
Technology will continue to play a greater role in automating the retail experience. With the help of the latest technology, sales people will be able to focus on building relationships with customers to increase sales. In order to stay competitive, businesses must invest in high-performing ecommerce solutions. Providers such as Charter Global, apply leading technology tools to deliver customized ecommerce solutions to mid-size and Fortune 1000 companies. Experienced providers offer expertise across multiple, proven Cloud-based ecommerce platforms such as SAP HANA, SAP Business One, Magento, PCI DSS, Spring MVC (Framework ), Magnolia CMS/ Blossom module, HTML5, CSS3, JQuery, and Struts.

 

6) Chatbots

 
Chatbots are AI-led automated messenger services that allow your customers to engage with your brand via instant messenger via machine learning. Over the last few years messaging apps have exploded in popularity, and thanks to ecommerce personalization, artificial intelligence technology has been adopted by many large retailers. This year will see these two trends combine to deliver a new way of shopping and communicating.

 

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3 Ways to Integrate the Cloud into Your Enterprise

Designing hybrid cloud environments and their implementation strategies are top-priorities when adopting enterprise-wide cloud computing initiatives

 

Cloud computing has become an incredibly popular model for modernizing IT portfolios. With exclusive benefits like gaining agility and speed-to-market, more and more companies are turning to public cloud software.

 

Hybrid cloud systems are a means to shuttle business applications between public clouds from Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP) and private clouds running internally, or even hosted off-site by a provider.

 

Previously, many organizations chose one cloud services provide. Yet, because this approach lacks distinctive functionality, organizations are now recognizing the benefits of multi-cloud. Improved organizational flexibility, better performance and efficiency, and avoiding vendor lock-ins, are just a few of the benefits multi-cloud offers.

 

1. Adopting a Hybrid Cloud Environment

One trend that will see continuous traction in 2020 is procuring cloud services from two or more vendors at a time. AWS is popular for customer-facing apps, while Azure for business services and GCP for analytics compliment the execution of specific business scenarios.

 

Some chose to hold apps closely using private clouds, or, shuttle apps back and forth between public and private systems. This is often in the interest of security or financial reasons, with companies rolling back apps from public clouds to internal systems, known as repatriation.

 

The big picture, however, points to an urgency for a strategy that ensures the entire ecosystem works synchronously, especially as the use of multiple clouds and on-premises cloud installations become more common.

 

2. Find the Right Fit

When your eyes are bigger than your stomach, you might put too much food on your plate. This is the case for companies who rely too heavily on the public cloud, who often lose money after the first 12-18 months.

 

Over-provisioning resources you won’t consume will ultimately backfire, as is the case with some application developers who accidentally leave cloud workloads running into the weekend. As a result, multi-million-dollar charges are incurred.

 

Governance can help mitigate these over-spending risks. Crafting a strategy that optimizes functionality across cloud network (both public and private), is one such way to ensure this risk mitigation.

 

 A solution known as “FinOps” is a combination of analytics software and business management practices that, upon migration to the cloud, monitors and calculates the actual rate of cloud consumption.

 

3. Modernize, Migrate, and go Cloud-Native

 

You’re probably familiar with the lift-and-shift approach for migrating apps to the cloud, which isn’t enough to drive agility if certain factors aren’t in place. Upgrading legacy applications, for example, is fundamental when moving your data center to the cloud if tackling speed-to-market initiatives.

 

Modernizing apps, whether migrating as-is or re-architecting entirely, is vital for the attainment of competitive, advantageous software. Containers and microservices also work to make apps portable and capable of breaking-down.

 

Cloud native systems like Kubernetes-esque orchestration services (think AWS, Azure, and GCP) automate deployment, scaling, and management of containers, and ultimately enable rapid-fire change and continuous delivery.

 

Challenging aspects of going cloud-native include the need to manage clusters of containers running in a multi-cloud schema. Stop-gap measures, like using VMware to run virtual servers in AWS or Azure, can help overcome these issues.

 

Irrespective of the architecture your enterprise chooses to build, don’t sacrifice long-term transformation goals your business needs for short-term cost savings.

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How to Perfect Your Recruitment Strategy in 2020

Utilizing Professional IT Recruitment Helps Save Time, Resources, and Secure the Right Fit 

 

You may be asking yourself, “Why should my company use a professional services agency for staffing?” The answer may surprise you. The fact of the matter is, there is undeniable value in using a professional services agency over-performing those same duties in-house for many reasons. For many reasons, staff augmentation and on-boarding new hires is not a DIY (“Do it Yourself”) commodity – especially for jobs marketed within the information technology sector. 

 

The first reason companies choose to use a professional services agency as a business partner is time savings. When a job is posted, companies may receive over 200 responses, or they may receive nothing. Sorting through a stack of resumes is time-consuming and costly to the organization because the person designated to do that is abandoning their normal duties. Advertising positions, doing reference checks, background checks, drug tests and interviewing eat up time and resources. What’s more, weeding through job candidates is a laborious, massive undertaking – primarily because of a certain demand for specific skillsets when it comes to IT recruiting. 

 

Recruiting and hiring are two different things. As the tech industry continues to see exponential growth, the ability to select the right candidate for the right role both quickly and efficiently can become problematic. Hiring managers can lack the foresight and expertise that recruiting firms and recruiting experts maintain. Enter: the second reason substantiating the need for IT recruitment: Expertise. Staffing is a huge part of many professional service agencies. At Charter Global, for example, 100% of our senior level recruiting focus is spent recruiting and placing employees. With 20 + years of experience in the staffing and recruiting arena, we know how to structure job descriptions and postings that get the results our customers want.

 

The third reason is screening techniques. Since our entire focus is finding the right candidates for each position we are entrusted with, we know screening the applicants is the key to success. Skills testing modules, interviewing techniques, employment reference checks and knowing our customer’s company culture are all critical to the process.  Yet this is just a small portion of a well-defined recruitment strategy our information technology recruiters employ. We have resources available to us that most companies do not guarantee placing top talent in the right roles.

 

The fourth reason companies come to a professional services agency is for their expertise in project-based work, on/offshore resources, contract assignments, and permanent placement services. Technology leaders know their budgets aren’t to be taken lightly. For example, there are some tasks that that don’t justify hiring an entire team for a 6 – 9-month project. Those are times when you need our expertise in on/offshore project-based professional services to save you time and money.

 

Customers are looking for a “True Business Partner” when it comes to their professional services provider, and our clients have found that a partnership with Charter Global consistently delivers great returns on their investment. The fifth reason for professional IT recruitment involves an important factor: reputation. Precautionary measures are instilled with every candidate selected by a professional services agency, which otherwise might get overlooked. Our recruiters work tirelessly to ensure the right candidates, equipped with the right soft skills and technical skillets, are placed into the right positions. 

 

If you are considering a partnership with a professional services agency, contact one of Charter Global’s Client Engagement Managers. We would be happy to speak with you about the right services for your company.
 

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