Article | August 14, 2020
For those who do not know Dataiku DSS, it is a collaborative data science software platform for teams of data scientists, data analysts, and engineers to explore, prototype, build, and deliver data products more efficiently.Dataiku DSS is mainly written in Java and — to simplify things — the server runs as a single process (Java Virtual Machine, or JVM) providing everything we need, including an embedded web server.As data leveraged by Dataiku DSS users can be located in various different places, Dataiku DSS can connect to a wide range of data sources, some of them containing data that is up to hundreds of gigabytes.
Article | August 14, 2020
The world has started stepping into the “new normal” era. With the boost in vaccine inventions and countries rapidly vaccinating their citizens, we will be back to living a ‘new normal’ life. We keep mentioning normal as the ‘new normal’ because things will never be the same as before the pandemic.
A majority of changes have happened for the best. Nevertheless, challenges emerged in the pandemic, and these were answered by innovations. Let us precisely talk about the innovations in software development trends.
Digitalization played a vital role in transforming society and overcoming the hurdles created by the pandemic. Hybrid working style, chatbots, IoT, AI, and development in applications to improve performance and customer experience are the key software development trends that are on the rise.
Growth Predictions Post Pandemic
● 63.3% of companies consider accelerated digital transformation.
● IaaS market solutions will be worth $64 billion.
● Online sales will account for 22% of global retail (currently it is 14%)
● The utilization of low code products will reach 50%.
● The outsourcing services industry is estimated to reach more than $66 billion.
Software development trends have led to a boom in the software industry. As a result, all the sectors have turned towards software for solutions. Observing this change of scenario, here are some of the predictions on software development trends that will rule the industry by 2022.
Software Development Trends
The combination of AI and Big Data with IoT has led to significant changes in the IoT industry. IoT has profoundly incorporated its way into daily human life. It eases everyday chores by connecting all the devices with sensors and syncs them automatically. The machines understand our timely needs and act subsequently.
IoT has come a long way from just connecting the phone and the laptop. Instead, the day starts with Alexa, Siri, or Google. From telling them to turn on your coffee maker to adjusting your AC temperature, every little thing is manageable by the internet of things!
As a result, more and more devices are built with sensors to simplify everyday processes. Thus, IoT is one of the software development trends to be utilized in various sectors by 2022.
IoT has groundbreaking potential and has been adapted in smart cities. The smart cities project is a possibility only because of IoT.
Progressive Web Apps (PWA)
Progressive Web Apps are a trend in software development that is gaining popularity in these challenging times. PWA are apps that combine the functions of native apps and website accessibility. They provide the same user experience as native apps without having the hassle of upgrading and installing for web or mobile devices.
Easy maintenance, one codebase, easily searchable, lightweight, and operating offline are some of the advantages of progressive web apps. PWA is here to stay and is the latest in software development.
It is progressive, responsive, connectivity-independent, secure, easily installable, and linkable. As a result, many companies are switching their websites and apps to PWA for hassle-free code development and a great user experience.
Be it software developers, web developers, or users, low-code development is a hit amongst all. This new technology in software development saves time, is fast and intuitive. The long hours spent in coding every line are held by low code development. Herein the code is sketched like a flowchart and fed into the machine. As a result, a lot of manual effort is saved.
Low-code development is one of the latest technologies in software and the future of the software industry. Traditional developers thought that this process did not have much potential, but the pandemic changed this thought. Low-code development will allow people with little digital skills to digitalize their ideas.
Building apps quickly is the need of the hour, and low code development helps achieve that. This trend will also help in bridging the gap between the supply and demand of software engineers.
AR (Augmented Reality)
Augmented reality has appallingly changed the marketplace. Customers can virtually try new makeup or beauty products without even touching the product. The beauty industry has seen incredible conversion while using AR for its marketing. Similarly gone are the days of 2D mapping. AR has managed to bring 3D mapping into our lives. Be it gaming or navigation; augmented reality has strongly made things attractive.
AR is a hit in advertisements. Companies are luring customers by adding filters or creating environments in apps. This has shown great conversion numbers to the businesses. This is because AR is software that is more than visually appealing. It improves functionality, enhances effectiveness, and creates brand value. As a result, we are going to see more from this technology in 2022.
Using Big Data is building credibility. Security has a whole new meaning post-Covid-19. The public has become aware of the information that it will allow access to. This has led to a boost in the use of Big Data.
By 2022 Big Data can be used as DaaS (Data as a Service). This will allow companies to access the required data, and thus redundancy is avoided.
The use of Big Data has proven to provide data-driven solutions. It is giving the customers exactly what they are looking for. And this can be achieved only when you have proper segregation and security of a large amount of data.
Netflix has proven its popularity by utilizing Big Data and giving the viewers the exact content they are looking for.
Thus, Big Data is a software trend that will be a compulsion for companies to adapt in the future.
AI (Artificial Intelligence)
This list would be incomplete without mentioning the hottest software trend in the market these days. In the last five years, AI is one industry that has gained tremendous momentum. This is because machines are trained to think and perform tasks that were possible only for humans.
The combination of machine learning, deep learning, neural networks, and machine control has already enhanced customer experience in various sectors. The improved user experience, better efficiency, less prone to errors, reduced costs, and increase in ROI have made AI a dominant trend in the technology world.
By 2022 there will hardly be a sector that has not implemented AI. From the demand and supply chain industry to predicting stock markets, we will see a lot of AI everywhere.
Conclusion: Be Ready for 2022!
These are some of the predictions of software development trends 2022. There will be enormous changes in the lifestyle, working style, and adaptive measures taken by humans. And in this changing era, technology trends will guarantee maximum productivity along with comfort.
As the pandemic unfolds and most of the population gets vaccinated, there will be turning points in the latest software trends and the IT industry. There will be minor glitches and fluctuations, but these newest software development trends will help overcome them all. They assure an increase in revenues and adding value to the brand of the company.
Software development is not just a trend in software engineering but a process of continuous innovation. Of course, the predictions of technological processes are pretty unpredictable as inventions surge. But one predictable thing is that game-changing technology trends will keep emerging, and there are no stopping innovations in these fields.
Frequently Asked Questions
What are the top 3 emerging technologies in software?
AI (Artificial Intelligence) dominates the emerging technology industry, followed by IoT (Internet of Things) and then AR (Augmented Reality), VR (Virtual Reality), and MR (Mixed Reality). These play a predominant role in changing the face of technology.
What is trending in software development nowadays?
The current trends in software development are AI chatbots, powerful programming languages, and active incorporation of IaaS, PaaS, SaaS, DaaS to provide flexibility and improve productivity. These effective solutions are implemented to build apps, websites, manage hybrid working culture, and ease communication processes between teams.
Why should you track trends in software development?
It is the need of the hour to digitalize the business. If you keep up with the rapidly changing software trends, you can be distinguished from your competitors, and it will help you stay ahead of the race. Your products/services will be productive, efficient, and trusted by the customers.
If you do not digitalize your businesses and incorporate the required technology, your business will cease to exist.
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"name": "Why should you track trends in software development?",
"text": "It is the need of the hour to digitalize the business. If you keep up with the rapidly changing software trends, you can be distinguished from your competitors, and it will help you stay ahead of the race. Your products/services will be productive, efficient, and trusted by the customers.
If you do not digitalize your businesses and incorporate the required technology, your business will cease to exist."
Article | August 14, 2020
In today’s world, everyone and everything needs an expert’s work. Every sector and organization thrives to achieve perfection for themselves and their customers. But with the evolving scenario and new technologies emerging, perfection needs outsourcing. On that account, every organization is building its services to provide other organizations with managed services.
In simple words, managed services are the need of the hour. They have been around for a pretty long time; however, the benefits of managed services have proved their efficiency in the past few years.
Managed services are not limited to IT but provide services from supply management to call centers because of its optimal efficiency and organizational performance. This goes for the IT and non-IT sectors as well.
Every organization comprises of an IT department. But what happens when the IT department is involved in solving the technical issues of the organization, rather than focusing on their core work? The business goes haywire resulting in more investment than ROI.
In the past few years, every business has realized the importance of managed services. As a result, the managed services market’s global business value, which was valued at US$185.98 billion in 2019 is estimated to reach US$356.24 billion by 2025. And this is the result of the benefits of managed services.
What are Managed Services?
In the post-Covid era, almost all businesses are relying on their IT infrastructure to keep them going. Technology is the need of the hour to assure the best efficiency and gain maximum profits. But an in-house team to manage all the IT work and the infrastructure from servers to networks costs a lot. This is a huge blow to the resources especially for start-ups and small to medium-sized businesses.
This is where managed services come to the rescue. Managed services providers have the expertise and infrastructure to ensure that your network administration runs perfectly well. From data backup to security, they take care of everything required for IT support.
The benefits of managed services can highly be availed by start-ups and small to medium scale businesses. Implementing managed services provides them with the latest infrastructure and updated technology at nominal costs.
As said earlier, managed services can be outsourcing to any part of the business, but IT managed services play a significant role these days. Thus, we will focus on the benefits of managed services related to IT.
Benefits of Managed Services
Managed services simplify your IT management. They have abolished the break-fix method and paved the way for regular and consistent service. We would not wait for something to break and then repair it while wasting resources. Managed services assure that there is no break or downtime in your IT system. Whether you have a start-up or a multinational company, the benefits of managed services make sure that you focus on the things that matter the most.
Here are the top 5 benefits of managed services for your business.
Managed services lower the IT costs incredibly. Lots of dollars are spent hiring and training the IT staff, plus the in-house infrastructure costs a fortune. In addition, the maintenance of the equipment and the retention of the staff can create financial issues in the organization. Thus, availing IT managed services will widen your resource base.
You can put your resources to use in the right place and avail the best IT support services at nominal costs.
Your IT services are streamlined and managed by a single provider. It helps to increase and decrease the services according to your demand and supply in the market. In addition, the monthly or yearly subscription plans will help keep your budget as planned.
Minimum or No Downtime
It is estimated that network downtime can cost a business almost US$5600 a minute. So, now you can take into account how the benefits of the low cost of managed services help your business.
Server failures, machine malfunctioning, electrical disruptions, or unintentional human errors can cause downtime. However, managed services can cut down downtime or even make sure that it does not occur.
Their proactive approach to the maintenance of the system through remote monitoring and management ensures business continuity.
An Expert’s Approach
Technologies to a managed service are like solutions to every problem. Their in-depth knowledge, state-of-art infrastructure, and updated technologies guarantee top-notch services and support.
An in-house IT service may or may not be able to find solutions to all the technical hurdles. Plus, their training can be expensive and time-consuming. So instead of wasting resources and trying to hit the target in the dark, it is better to avail specialized services. These services can be used according to your requirements.
Thus, the benefits of managed services include expert IT services according to your cost, time, and project requirements.
Security & Compliance
These reasons to use managed services stand out more prominently than others. For instance, even if your company data is accessed by a third party, then an authenticated service provider will regulate to keep all the information secure. Plus, they update the system on a timely basis to keep it safe from security threats and breaches.
A managed service provider ensures that your organization is up to date with the required compliances and audits. This saves you from violating data regulations that you may be unaware of. The trusted service provider conducts regular audits and provides system reports while assuring your system is updated with the current technology.
Along with cost savings, the benefits of managed services include scalability. Scalability saves your resources, time and assures that your employees perform the tasks that they are hired for.
When you hire a managed service provider, you can scale the acquired services according to your demands. For example, during holiday seasons, when there is increased demand, you can upscale your services, and at the end of the season, you can revert to the original requirements.
Scalable solutions allow you to adapt to rapidly changing market conditions while assuring productivity, system availability, and minimal or no downtime.
How to Choose the Right Managed Service Provider?
The benefits of managed services are totally worth every penny you spend. But it would help if you were extra careful about choosing the provider. Look systematically at the managed services model of the provider and decide. You need an extremely trustable and recognized managed service partner to manage your services.
Consider the below factors while deciding.
24X7 customer service
Total commitment & flexibility
Single point of contact
Continuous remote monitoring
If the managed service provider fulfills the above considerations and more, you know you have made the right choice.
Have an Open Approach to Managed Services
You may have a list of the pros and cons of managed services. But we are confident that the pros outgrow the cons.
The demand for managed services has surged in the pandemic as businesses are running efficiently even in remote conditions. All thanks to these services, you can now easily utilize managed services for seamless, secure connections and maximum ROI.
Frequently Asked Questions
What is the value of managed services?
Managed services are economical for an organization in terms of time and cost if you compare recruitment or involvement of in-house staff and infrastructure. They provide maintenance, regular reports, minimal or no downtime, and expert security for your systems.
Do I need IT managed services?
Whether you are a start-up, small to medium-sized business, or a multinational company, you need IT managed services. We all know IT services demand expensive training and infrastructure, and if there is downtime, it costs huge losses to the businesses.
As a result, availing these services ensures productivity, maximum ROI, and reliable IT operations with minimum investment.
How do you explain managed services?
Managed services are processes or tasks that are outsourced to a service provider who handles them exclusively. They improve operations, cut expenses and increase the productivity of the organizations.
Managed services let you focus on your core business while your other processes are outsourced efficiently and securely.
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"text": "Managed services are processes or tasks that are outsourced to a service provider who handles them exclusively. They improve operations, cut expenses and increase the productivity of the organizations.
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Article | August 14, 2020
Expert cites machine learning advancements creating immediate, actionable value to drive data literacy, elevate cognitive insights and increase profitability in kind.
In today’s tumultuous business-scape amid increasingly intricate, and often vexing, marketplace conditions, curating and mining data to drive analytics-based decision making is just no longer enough. For competing with maximum, sustained impact and mitigated opportunity loss, it’s rapidly monetizing data that’s now the name of the game—particularly when spurred by artificial intelligence (AI). Indeed, emerging AI methodologies are helping forward-thinking companies achieve and sustain true agility, fuel growth and compete far more aggressively than ever before.
AI is critical as a means toward those ends and also certainly with respect to aptly predicting, preparing and responding to prospective crises as with the COVID-19 pandemic the globe is currently immersed in. In fact, Gartner recently cited the need for “smarter, faster, more responsible AI” as its No. 1 top trend that data and analytics leaders should focus on—particularly those looking to “make essential investments to prepare for a post-pandemic reset.” Novel coronavirus matters aside, Gartner underscored just how impactful AI will become, predicting that, “by the end of 2024, 75% of enterprises will shift from piloting to operationalizing AI, driving a 5X increase in streaming data and analytics infrastructures.”
“To innovate their way beyond the post-COVID-19 world, data and analytics leaders require an ever-increasing velocity and scale of analysis in terms of processing and access to succeed in the face of unprecedented market shifts,” said Rita Sallam, Distinguished VP Analyst, Gartner.
However, employing AI techniques like machine learning (ML) and natural language processing (NLP) to glean insights and render projections is simply no longer “enough” to get the job done—especially for organizations seeking to compete efficiently on a national, multi-national or global scale. Today’s organizations must endeavor toward a culture of AI-driven data literacy that directly and positively influences their top and bottom lines.
“To help data monetization-minded enterprises better future-proof their operations and asset-amplify their data value chain, there are a few key ways to implement and elevate machine intelligence so that it’s far smarter, faster and more accountable than protocols past,” said Microsoft alum Irfan Khan, founder and CEO of CLOUDSUFI—an AI solutions firm automating data supply chains to propel and actualize data monetization.
Below, Khan details five benefits of leveraging AI data-driven insights and technology in a way that will create actual and actionable value right now—the kind of insights that enable new and evolved business models and empower companies to increase both revenue and profitability.
Manifesting new market opportunities
Today’s machine learning capabilities allow people to sift through data that previously could not be accessed, all at speeds faster than ever before. Present technology offers the opportunity to wholly analyze image, spoken or written inputs rather than just numerical, helping companies better find connections across these diverse data sets. This generates and maximizes value in a number of ways. Relative to the bottom and top lines, not only can it significantly reduce expenses, but it can also create new market opportunities. With COVID-19 as one recent example, algorithms speedily sifted through an extraordinary amount of data to identify diseases and potential cures that presented as similar, which allowed those methodologies to be readily tested against the coronavirus.
Machine learning advancements also help companies better monetize their data and establish new revenue streams. In the above example, of course patient information would not be shared or sold in any way, but other highly valuable data points can be gleaned. This includes determining that a certain drug is only effective on woman between certain ages—critical insights for pharmaceutical developers and physicians.
Emerging AI data processing protocols are far more rapid than prior iterations of machine learning technology, as are the resulting solutions, discoveries and profit-producing results thereof.
Reconcile emotions with actualities
Data generates value, which leads to the generation of money. It’s that simple. Previously, it was difficult, if not humanly impossible, to sift through mass amounts of data and pinpoint relationships. There existed very rudimentary tools like regression and correlation, but today’s analytics call for gaining a true understanding of what extracted data actually means. How do you convert data into a story you can actually tell? Often, decisions are made based on emotional foundations. Leaders are using data to either validate their gut or disagree with their instincts. Now, they are getting quicker insights that decisively validate or invalidate their thinking, while also prompting them to ask new questions. So, garnering meaning out of a company’s own data provides tremendous advantages.
“Human nature is such that unless we can see it touch it feel it, it’s hard to understand it,” Khan says. “We as data scientists haven’t done a really great job of explaining AI-driven data technology in simple terms. Telling a story with data or demonstrating actual results is where real power and understanding lies.”
Scale statistical models for actionable models
We often separate our data as factuals, asserting “this is what happened.” Neural networks connect the “human decision-making process” to those factuals—a simulation practice that helps us make better decisions. Previously, we would look at data sets like demographics, customer behaviors and such in silos. But when these multiple data sets are connected, it becomes quite evident that no two humans—or customers—are exactly alike.
Technology is now allowing us to understand trends on a factual level and then project outward. In the health realm, some companies are using this key learning to project whether or not a person is likely to suffer a certain affliction. It’s also allowing for far more efficacious “if this then what?” scenarios. If a diabetic person takes insulin controls, then their diet the treatment protocol will change. This is enabling highly personalized medicine. But the same processes, principles and benefits hold true in non-health categories as well—encompassing all industries, across the board.
Future-proof, anti-fragile data supply chains
From data connectors to pipelines; data lakes to statistical models; AI to Quantum; visual storyboards to data driven automation; ML to NLP to Neural Networks and more, there are highly effective methods for future-proofing your data value chain. The data supply chain is quite complex and, to make it future-proof and non-fragile, it requires thoughtful processing from the point of creation to the point of consumption of actionable insights.
It starts with data acquisition—garnering a wide variety and volume of data from a number of internal and external sources where data is being generated by the millisecond. Once the data is identified and ingested, it needs to brought to a central point where it can be explored, cleansed, transformed, augmented and enriched and finally modelled for use toward a purpose. Then comes statistical and heuristic modeling. These models can be of different types using different algorithms yielding different levels of accuracy in different scenarios. Models then need to be tuned and provided and environment for continuous feedback, learning and monitoring. Finally, is the visualization of outcomes—an explanation demonstrated by drawing cause-effect relationships that highlight where the most impact happens. This leads to a conclusion on how a set of problems can be solved or opportunities uncovered.
“Most organizations have some data and drive different levels of business process improvement and strategic decisions with it,” Khan notes. “However, few use data to the fullest. The right approach to data valuation and monetization can uncover limitless possibilities, including customer centricity, operational efficiency, competitive advantage, strategic partnerships, efficient operations, improved profitability and new revenue streams.”
Up to now, we have been able to write algorithms, generate immense amounts of numerical or written data and make sense of it. However, there is a significant amount of data that comes as images or voice, which has not been easy to process and manage until recent developments. The applications for the processing of visual and auditory inputs are endless. In fact, retail and finance industries have been early adopters of this technology—and with good reason. They’ve seen costs go down, engagement go up, sales increase and benefitted from other highly substantial points of monetization.
Now, a large department store can digitize their video data every night and determine that “X” amount of people saw “X” number of jeans, but they had to walk further to get to it. As a result, the department store can put those items closer to the door and walkways to determine if sales increase in kind.
Even the education realm is tapping AI-driven data. The technology is tracking retina movement to discern if kids are engaged amid the remote learning paradigm ushered in by the pandemic. They’re exploring how to measure the retina to determine whether or not a child is actually engaged in the lesson.
In radiology, they are starting to convert visual data and track it to gain a deeper understanding of digital images and video. MRIs are better able to track brain tumors—whether they are growing or shrinking and at what rate and if they are getting darker or lighter in terms of the regions. This kind of AI-driven learning is helping doctors better detect cancer and treat it more rapidly. Video data processing of the human eye can also be used to determine if a person is drunk, fatigued or even has a disease. Voice machine learning has also keenly evolved. Originally, voice recognition was being utilized to discern if a person was actually suicidal, which could be accurately predicted by inflection points in a person’s voice. Now, if that person can be captured on video, it is deemed to be about 20 times more accurate.
“All of this possibly had previously demanded a hefty price tag using systems and solutions of yore,” Khan notes. “Today, integrating multiple processes across hybrid multi-cloud environments has made data processing and analytics much more accessible and outsourceable. This negates the need for companies to purchase cost-prohibitive servers and other machine hardware.”
As one of the world's leading experts on building transparency into supply chains, Khan doesn’t just talk the talk, he’s walked the walk. As a revered marketplace change agent, he’s known for driving business transformation and customer-centric turnaround growth strategies in a multitude of environments. In addition to engineering partnerships with MIT, Khan has successfully led organizational changes and process improvement in markets across the Americas, Europe, Middle East and Asia.
“New AI solutions and trends will eliminate patchwork processes that cause data, and interpretations thereof, to get lost in translation or, even worse, remain entirely undiscovered,” Khan says. “Next-Gen platforms are solving such problems by executing all functions required to create and govern AI products— single-source systems that pull data, transform, model, tunes and recommend actions with cause-effect transparency.”
For niche players, today’s leading-edge AI technology also aptly provides for vertical industry specialization. “Emerging solutions enable common data models, compliance and interoperability requirements that, in turn, accelerate model validation, refinement and implementation that’s specific to a given sector or marketplace,” notes Khan. “All of this ultimately drives speed to insights on previously unsolved problems, which reveals untapped opportunities and automates workflow integrated cognitive solutions.”
“Overall, AI is ushering in a new and more sophisticated era of data literacy,” he continues. “It’s a new paradigm founded on automated, comprehensive and holistic data discovery, which is fostering elevated cognitive insights and actionable strategies that positively impact the top and bottom line.”
Perhaps the future mandate for AI should not only focus on becoming smarter, faster and more accountable than predecessors, but actually bridge the gap between human intuition and data-backed decisions. Doing so will assuredly advance an organization’s ability to transact with utmost trust.