Technology is accelerating at such a rate that it permeates all industries. In fact, software is the only industry that cuts horizontally across all verticals. Here at EastBanc Technologies, most of our customers are not software product companies, yet they are embracing technology even though their core vertical is something else entirely.
However, we frequently encounter the “not invented here” syndrome where companies are heavily biased toward tools designed in-house and averse to the idea of externally-developed products. In cases like these, we explain that experience, retained knowledge, and skill (at the systemic, individual, and team level) are essential prerequisites to efficiencies and success in an enterprise level software project. Building a new software product, unlike tweaking an acquired tool, requires a team who has done it multiple times.
Think of it this way. Has Mercedes Benz ever built an enterprise software product? Of course not. Just like we’ve never built a car.
But that doesn’t mean a company has to approach software development as a wholesale outsource effort either. In-house engineering teams play a key role in the development of custom tools. They have a keen understanding of their internal customer pain points and what areas require improvement. But, when it comes to creating a software product from scratch, the proficiency likely isn’t there. In 99% of cases, in-house engineers have limited experience working alongside a software product architect, system architect, or an enterprise architect at scale to create a minimal viable software product.
The implications are significant:
Without the right skill and experience, engineers often architect a modular product based on monolithic spaghetti code that’s hard to maintain, adapt, or update.
There is likely to be lost time and money due to the trial and error needed to create a solution that delivers the desired user experience.
The product may not work, lack the required functionality, fail to scale, lack robustness, etc.
Experienced software product teams with hundreds of projects under their belt can help you avoid these complications. They know what to look out for before issues arise. They are also more likely to have experience with agile methodologies that embrace being proactive versus reactive which is not as common in the “not invented here” environment. You wouldn’t expect your car mechanic to be able to design a car from scratch. And, not every software engineer can build a product from the ground up. Use the right experts for the specific job, not just a team with related experience.
Instead, use in-house engineers in ways they can make significant individual contributions to the development process. For instance, they play a critical role in assisting the external team in prioritizing feature development and tackling individual tasks. Ultimately, as the drivers of the effort, they also serve an important role as the internal rock stars!
Agile development is easy to study and easy to grasp, but to do it well on large, mission-critical efforts requires unique real-world experience. The benefit of breaking through the “not invented here” syndrome is reflected in the old adage: “A smart person learns from their own mistakes. A genius learns from the mistakes of others.” A strategic in-house team should embrace the experience held by outside partners who have already made their mistakes.
A powerful, synergetic effect occurs when internal and external experts collaborate towards a mutual goal. Both sides are co-dependent and couldn’t do it without each other – or at least not as well. Because Agile depends on tight collaboration across cross-functional teams, knowledge sharing is optimized, and a greater common understanding is achieved – and this extends to the executive level as well.
Unfortunately, executives often aren’t aware of this complex interplay and would be well advised to stay engaged in each initiative on a regular basis. They needn’t be involved all the time but scheduling periodic, short feedback loops will ensure they benefit from minuscule pieces of fast progress and foster the right processes across IT. This will ensure they see immediate, incremental results, get exactly what they need, and drive greater engagement.
Without an experienced partner and an all in-house approach to software development, the risk of failure is yours alone. Executives should be risk managers. If they allow the “not invented here” syndrome into their organization, then they accept a much higher degree of risk. With an expert vendor, you share it or can even move it to them completely.
Trying to build something in-house for the first time, will take much longer than if you’ve done it a hundred times, delaying value creation for customers. In today’s fast evolving tech environment, this could mean losing the edge, delayed revenue generation, and lost opportunity.
From AI-powered chatbots providing personalized recommendations based on a driver's preferences to route optimization and maintenance predictions, the potential for enhancing the customer automotive experience is immense.
Read moreThe future of retail holds many interesting experiments. As we look for better and more environmentally friendly consumption and logistics, AI predictive capabilities, anomaly detection, and better customer support may lead us to rethink how we consume, help distribute goods better, aid food supply safety, and promote things like a shared economy.
Read moreAgriculture is one of the oldest practices created by people and one of the essential industries on the planet. From the first agricultural revolution from around 10,000 BC to today, it’s been both transforming our lives and adapting to them in so many ways that it’s certain that the current AI boom will not pass through without changing it once more.
Read moreArtificial Intelligence (AI) is today's magical buzzword. From chatbots and virtual assistants to predictive analytics and machine learning, AI technology is transforming industries and revolutionizing businesses' operations.
Read moreWe're unpacking the complex interplay between eco-friendliness and the bottom line in the cloud computing sphere. Is it possible to be green, cost-effective, and efficient all at once?
Read moreThis article discusses the benefits startups can get from IT consultants. These include expert knowledge on new technologies, cost-effective solutions, risk management, and personalized advice. They assist in choosing and implementing technology, increasing efficiency, providing training, researching market trends, developing custom software, and fostering valuable partnerships. Collaborating with IT consultants can expedite startup growth and competitiveness.
Read moreA controversy has arisen around the ownership and value of AI works and the role of designers in the AI-embracing tech industry. This article explores the debate surrounding AI and generative AI in design and art, as they are both affected, and how it concerns designers in the tech world.
Read moreInnovative feedback loops become game-changer in Tech industry, emphasizing the importance of continuous communication with key stakeholders to ensure projects remain aligned with organizational goals, building trust and enhancing overall user experience
Read moreThis piece explores our innovative approach to transforming traditional corporate presentations by integrating AI technology and the iconic Barbie theme. Using Midjourney, we created personalized, engaging avatars of our team, adding a touch of humor and nostalgia, and turning standard meetings into enriching experiences. Discover how this blend of creativity and technology not only enhanced engagement but also strengthened interpersonal connections within our organization, setting a precedent for future communication strategies.
Read moreAI and cloud computing together have reshaped the digital landscape in recent years. Alone, each is transformative; together, they can revolutionize industries, driving the next tech evolution. Let's explore how to optimize this integration.
Read moreExplore the intricacies of AI deployment: Why does the performance of the AI models sometimes worsen after it's been out in public?
Read moreChoosing your digital transformation partner is crucial for the business's long-term success. In our many years of experience, EastBanc Technologies has built a list of factors to consider when choosing a digital transformation consulting company.
Read moreAI's vast potential brings challenges and opportunities that will redefine the industry's future; let's dive into how predictive analytics can help and look at several standout examples from diverse sectors that can provide insights for IT and beyond.
Read moreThe rise of low-code development platforms has revolutionized the software development process.; Llet's look at how they did do it and what they provide.
Read moreArtificial intelligence (AI) has the potential to revolutionize various industries and aspects of our lives. However, along with its promises, AI also presents several challenges that need to be addressed for responsible and fair development and use. This article discusses some of the top challenges for AI, including bias in data and algorithms, explainability and transparency, ethical concerns, integration with society, security and safety, and regulatory framework.
Read moreIncreasingly complex AI and ML models require more data to be trained effectively - what are the ways of tackling the increasing power needs?
Read moreThe demand for faster and more efficient software delivery has led to the emergence of DevSecOps, a combination of DevOps and security practices. In this article series, EastBanc Technologies explores some of the top trends in DevOps, starting with DevSecOps.
Read moreIt's no secret that the business landscape is changing. In order to stay ahead of the competition, it's necessary to undergo a digital transformation. In this blog, we'll outline the steps you need to take in order to make sure your business is prepared for the future.
Read moreGet ready to witness the power of artificial intelligence as it transforms the military, retail and personalized medicine industries! From revolutionizing defense strategies to streamlining the shopping experience to providing customized healthcare solutions, AI is changing the game in ways we never thought possible.
Read moreIn the context of EastBanc Technologies' dev approach, MVP stands for Minimal Viable Product. An effective method of quickly establishing a framework for a digital solution, the MVP streamlines the process of a product’s initial deployment. We take a look at the fundamentals of the MVP and how to construct one.
Read moreSolar energy is a promising – and green – alternative to fossil fuels. As long as the sun is shining. Check out how AI helps solar energy providers optimize output, manage supply & demand and reduce the price of electricity using predictive analytics and machine learning. This is AI at work, making gigantic strides for worldwide adoption of this renewable energy source.
Read moreWind energy has the potential to cover much of the world's insatiable thirst for electricity in a sustainable way. Unfortunately, the wind doesn't always blow -- and not always with the same intensity. Using AI and machine learning models, energy producers and scientists are finding new ways to maximize the output and efficiency of wind energy.
Read moreThe potential for Artificial Intelligence (AI) in the green energy industry is rapidly gaining momentum. Renewable energy sources such as solar power are complex and unreliable due to constantly changing weather conditions, but AI can help remove obstacles and unleash the true power of solar.
Read moreApple’s introduction of passkeys with the latest versions of its MacOS and IOS operating systems means is a major step forward for online identity management, but passkeys will not hand us complete control over our own online identities. For that to happen, we need to look at Self-Sovereign Identity (SSI).
Read moreCryptocurrencies are notoriously volatile. Indeed, the rapid rises and vertigo-inducing plunges can make even the most stout-hearted crypto investors tremble. But with time, Bitcoin, et al may settle into a more temperate pattern and become a stable - or even a centerpiece - of our financial systems.
Read moreArtificial intelligence will continue to disrupt many industries, and the best way to maximize the impact of the technology is to start teaching it early. Weaving AI learning into high school curricula will create a strong link between technologies and curious students, fostering future employees well trained in the digital world. -- benefiting business and driving innovation.
Read moreA dive into the implementation of the blockchain in finances, smart contracts and NFTs.
Read moreBlockchain is a word that is now heard everywhere, but not everyone has a clear understanding and knows what is there under the hood. In our second part of the blockchain guide let's dive deeper into the technology and concepts behind it.
Read moreTeaching computer science to teenagers is a no-brainer in today's digital world. Here's why weaving artificial intelligence and machine learning into the high school curriculum can increase the growth of innovative technologies like never before.
Read moreWhile traditional computers continue to evolve and pump out more raw power, they are no match for the quantum computer, which can tackle calculations that the most powerful conventional machines would need decades to process – in a split second.
Read moreHackTJ 2002 is in the books, bringing together more than 400 bright young minds eager to tackle real-world problems with creative technology solutions. As a Gold Sponsor for the event, EastBanc Technologies created three challenges for the young innovators, and we are delighted to announce this year's top contestants -- and their winning hacks.
Read moreThis is EastBanc Technologies 3rd year sponsoring HackTJ, and our participation includes designing three challenges for teams to hack. The challenges will explore how to alleviate some of the world’s most pressing issues impacting our personal and professional lives.
Read moreOne “new” technology that has stuck is Blockchain. To understand what Blockchain is, you only need to know three things. What is a block? What is a chain? What is a ledger?
Read moreModern technology brings the world closer together, but millions of people continue to be left behind. The "digital divide" is multifaceted and impacts society in a variety of ways. These are some of the technologies that are helping bridge the gap.
Read moreArtificial intelligence (AI) can be found almost everywhere in modern life. Learn key lessons and best practices that help companies avoid common AI pitfalls and achieve ROI from their AI systems.
Read moreOpen Data fuels today's digital economy, enables communication and innovation, boosts business and generally makes our lives easier. But how do we protect privacy if everything is open? Zero-knowledge proof could be the answer.
Read moreBlockchain capabilities, including fully-automated data storage and transparency, make it an essential technology for cybersecurity. In this article, we look at some of its use cases.
Read moreDevOps built-in flexibility allows development teams to work at a level that suits their resources and skills without being held back by departmental barriers.
Read moreArtificial Intelligence (AI) – the capability of a machine or piece of software to display human-like intelligence – permeates our daily lives, often in ways we do not notice.
Read moreData-driven software touches our lives every day. Sometimes, it is in ways you see, such as when you check your Twitter feed, pay for your bus ticket or order your latte using your phone.
Read moreEastBanc Technologies is recognized on CIOReview’s list: “Most Promising Microsoft Azure Solution Providers.”
Read moreIn this article, we’re going to dig a bit deeper into AI-implementation. We will take our airline use case a step further, and we will describe a specific example of how EastBanc Technologies solved a particularly challenging problem through AI and machine learning.
Read moreIf your organization provides a product or service -- which applies to just about any business on the planet -- you, too, can benefit from Artificial Intelligence (AI). While implementing AI may sound daunting, it doesn't have to be complex or expensive. This article covers the basics of AI and looks at some easy-to-explore use cases.
Read moreDigital transformation is about opportunity and survival. Businesses that transform digitally gain a significant competitive advantage.
Read morePart 2: Best practices for modernizing your company’s IT infrastructure to ensure innovation success.
Read moreBest practices for modernizing your company’s IT infrastructure to ensure innovation success.
Read moreLearn how machine learning engineers and data scientists collaborate and roll out models faster and with ease using Azure Machine Learning.
Read moreWhat is DevOps, what are DevOps practices, and how do you implement DevOps? Your FAQs answered.
Read moreRefactor, rewrite, or leave as is? Learn when and how to bring your legacy systems up to speed with modern application development practices.
Read moreLearn how technology can better meet your business needs with this foundational understanding of how software and system architectures work.
Read moreReady to embrace AI? Explore why cloud computing is the best infrastructure for your AI model, not on-premises.
Read moreSoftware is a strategic differentiator that can catalyze digital transformation. Organizations are investing in technology, such as modern cloud services, to drive efficiencies and increase the customer experience. To make this a reality, it’s essential that business leaders have a basic understanding of business software and applications work and the opportunities they bring.
Read moreHow an intelligence-driven customer technical support approach can transform your support from a reactive operation to a streamlined, efficient, and proactive operation.
Read moreKubernetes is a popular container orchestration system, but how did it come to be and why, and what role does it play in digital transformation?
Read moreContinuous integration and continuous delivery (CI/CD) is integral to a DevOps approach to software development. But what is CI/CD and why is it key?
Read moreThis article is the third in a series that aims to demystify data science , machine learning, deep learning, and artificial intelligence (AI) – while exploring how they are interconnected.
Read more2020 has seen profound change in the way we live and work with COVID-19 accelerating the pace of digital transformation. Yet, business leaders are often confused about how to implement one of the key enablers of...
Read moreArtificial intelligence (AI), together with its brethren buzzwords data science, machine learning, and deep learning have been around for some time now and are no longer future concepts. Yet misconceptions persist about the true meaning of these terms.
Read moreWhen SUSE, the world’s largest independent open source company, announced its acquisition of Rancher Labs in early July 2020, the industry took notice. Clearly, the Kubernetes management industry is very much alive.
Read moreWe live in a technology-driven world. Even non-technology companies are seeing their business models increasingly shaped by technology. Led by disrupters such as Amazon and Netflix, those enterprises who recognized opportunities early have found ways to extend the analog experience into a digital one. Even creating new revenue streams that they could never have predicted.
Read moreDigital transformation is about delivering core competencies in a digital, automated, and user-centric manner. Driven by data and powered by tech (e.g. cloud, cloud native stack, AI, machine learning, and deep learning), it increases business agility, competitiveness, and enhances customer value.
Read moreLet’s start by understanding where DataOps falls in the line-up of current IT methodologies. DataOps is the next level up from ETL (extract, transform, and load) and MDM (master data management systems) in terms of organizing data and processes. It can also be thought of as a methodology that combines DevOps and Agile within the field of data science.
Read moreThe hotel industry hasn’t changed much in the past decades. While they have introduced some level of digitization such as websites and apps, they haven’t fully embraced digital transformation. Indeed, if things are working fine, why change? Because the next unforeseen disruptor may be right around the corner.
Read moreThe term “DataOps” has picked up momentum and is quickly becoming the new buzz word. But we want it to be more than just a buzz word for your company, after reading this article you will have the knowledge to leverage the best of DataOps for your organization.
Read moreUnstructured text is found in many, if not all business functions, and can become a source of valuable insight. Product reviews will guide your customers’ preferences, customer support chats can identify
Read moreDisclaimer: We have not spoken to a WeWork executive and have no further background information. This is merely a thought experiment to exemplify what digital transformation is about.
Read moreIn part one of this series, we defined data science and explored the role of a data scientist — including data preparation, modeling, visualization, and discovery. We also introduced the role of a machine learning engineer who closely collaborates with the data scientist.
Read moreBig data continues to grow exponentially creating a critical need for solutions that can make sense and extract valuable information from it. For example, the Internet is full of a wide variety of constantly growing text sources— blog posts, forum posts, chats, message boards, item and services reviews, etc.
Read moreKubernetes, the de facto container orchestrator, is great and should be part of any DevOps toolkit. But, just as any other open source technology, it’s not a full-fletched ready-to-use platform.
Read moreWith the increasing popularity of machine learning (ML), it’s becoming more difficult for data scientists to find the appropriate tools for a specific task and decide on a robust approach. Should they stick to the basics and code everything from scratch or use one of the many pre-built tools that keep popping up on the market?
Read moreBlue-green deployments and canary releases mitigate application deployment risk by enabling IT to revert back to the previous version should an issue occur during the release. Switching back and forth between versions
Read moreFor those who were still debating whether they should hop on the digital transformation bandwagon, the COVID-19 crisis was a wakeup call, maybe even a slap in the face.
Read moreThe entire business world is talking about digital transformation. IT leaders, on the other hand, talk about DevOps, cloud native, Kuberentes and containers.
Read moreIf your organization leverages technology as a differentiator, a DevOps approach to application and service delivery is inevitable. The benefits are just too great.
Read moreDigital transformation is one of today’s biggest buzzwords. Everyone is talking about it; everyone wants it. We all know the role technology is playing in enabling businesses to innovate at an unprecedented pace.
Read moreThe data on big data indicates that up to 60% of analytics projects fail or are abandoned, costing companies an average of $12.5 million. That’s not the result we seek from data lakes. Instead, companies are increasingly finding themselves mired in data swamps that are overfilled and too muddy to offer any useful visibility. Or are they?
Read moreWe collect data at a mind-boggling pace. In fact, as companies, we’re hoarding it. But what good is data if it can’t speak to us? Fortunately, data complexity can be broken down through design and visualization – the charts, graphs and plots that show trends, outliers and opportunities.
Read moreAs a company and as a team, our lives at EastBanc Technologies have always been about tackling the biggest problems for the biggest organizations.
Read moreArtificial intelligence (AI) surrounds us. It unlocks our phones, creates our shopping list, navigates our commute, and cleans spam from our email. It’s making customers’ lives easier and more convenient.
Read moreNearly every week there’s something new in our industry. The pace of technology is unprecedented, the role of IT is booming, and innovation is part of our DNA.
Read moreInnovation is a critical part of business. While prioritizing production in general makes sense, the best approaches make innovation a component of the whole production process.
Read moreWe recently sat down with a large pharmaceutical company to discuss their data analytics projects. What we heard wasn’t a surprise. Three of the four large analytics efforts they undertook last year had failed.
Read moreAMS Group is a cohesive group of established companies that provide technology and security equipment to aerospace, defense, and security markets.
Read moreA European market leader in online survey and feedback software acquired complementary companies in different Wester European countries, each of which had its own survey platform.
Read moreEveryone loves their own data. Collecting it. Analyzing it. Drawing conclusions from it. But often, when you allow departments or business units within your organization to gather their own data, that data isn’t shared.
Read moreGartner predicts that through 2017 60% of big data projects will fail to go beyond piloting and experimentation and ultimately will be abandoned.
Read moreOrganizations generally understand the power behind analytics, but how do you make it work culturally and technically? We take a look at the barriers to data analytics success and suggest new approaches that buck the system, with dramatic results.
Read moreAnd how to make your next data analytics project succeed?
Read moreContainer use is exploding right now. Developers love them and enterprises are embracing them at an unprecedented rate.
Read moreIf you’re making the move to containers, you’ll need a container management platform. And, if you’re reading this article, chances are you’re considering the benefits of Kubernetes.
Read moreWouldn’t it be nice to reach artificial intelligence (AI) nirvana? To have a system that provides real-time, context-aware decisions.
Read moreToday’s IT environment is moving and evolving at an unprecedented pace. So, all of a sudden, your 5-year old software infrastructure can look more like it’s 50. To get your software current – and stay there – requires flexibility. Moving to containers does just that. There’s been lots of talk about containers over the past few years – so why aren’t you on the bandwagon yet?
Read moreUnder pressure to deliver applications faster and ensure 24/7 runtime, organizations are increasingly turning to DevOps methodologies to deliver applications quicker and in an automated fashion. But what tools should you have in your DevOps toolkit?
Read moreAmazon Web Services (AWS), Azure, and Google Cloud Platform (GCP) are the public cloud market leaders, but how do you determine which of them best supports your enterprise's specific needs? For most enterprises, and for the foreseeable future, it’s going to be a multiple answer question.
Read moreAs the dominant movie rental service in the 90s and early 2000s, Blockbuster was the market leader, seemingly indefatigable. Until the great disruptor, Netflix, hit the scene.
Read moreBig Data. Everyone’s paying for it, collecting it, and talking about it, but what are companies actually doing with it?
Read moreThe API management market is a hot one. As more organizations make investments in mobile, IoT, and big data, APIs are a core of their digital strategy.
Read moreBig data is everywhere. Organizations are being advised to hoard it and do everything they can to derive actionable insights. This article will argue that this approach puts the cart before the horse.
Read moreLet’s face it. Organizations struggle with their legacy applications. Even when they still solve some of the business’ problems, they reach a point where they can no longer keep up with market and industry demands.
Read moreLet’s flash back to 2000. You’ve survived Y2K and you’re building systems for CRM, inventory, logistics, or data. They’re all state-of-the-art, and get the job done, even if they don’t talk to each other.
Read moreIt’s a mobile app world, and we just live in it. But for those working on the “next big thing,” there’s a conundrum – everyone knows we should be building apps in HTML, but not every device out there runs it as smoothly as it should.
Read moreIn technology, everyone likes to talk about “future-proofing.” But even for the most cutting-edge tech, time always catches up.
Read moreThe future is here. No, we don’t have flying cars or robot butlers – yet – but it’s definitely a digital world.
Read moreWe’re excited to announce Microsoft Azure support for the Kubernetes auto scaling module, an open source system for automating deployment, scaling, and management of containerized applications.
Read moreYou can’t mention enterprise technologies today without getting into a discussion about the cloud. “Are you in the cloud yet?” Why jumping headlong into cloud computing may not be the necessary move for your business.
Read moreIn the mad rush to move to the cloud, some organizations put the proverbial cart in front of the horse. They’re just looking for the best hosting, the preferred provider, or whatever the rest of the industry is using.
Read more2016 saw momentum in many areas – DevOps, cloud technologies, and big data- at the thrust of innovation. So, what tech predictions will define 2017?
Read moreEvery month, week, or day, it seems there’s buzz about yet another solution or service that will revolutionize your industry – or more simply, make your life easier.
Read moreApps. Sensors. They’re everywhere. Your phone, your car, your TV, even your refrigerator
Read moreIn an increasingly commoditized market, learn how to cut through the noise and forge a cloud strategy that meets your needs
Read moreFleet management is a challenging business. This is particularly true of snow removal services where the dynamics on the ground can change fast and the pressures to perform put fleet supervisors to the test – in the toughest of conditions.
Read moreLong before the first flakes fall from the sky many municipalities begin to prepare for the cold, icy, and snowy conditions that inevitably lie ahead.
Read moreFun fact: in 2014, cloud services were already a $45 billion business worldwide, and are expected to grow to $95 billion by 2017. Will you be part of that equation?
Read moreSimple is good. Simple is clean. And whether I’m cooking or planning a trip, simple is always better, right? So why do so many companies make user experience (UX) so complex?
Read moreFuture-ready predictive analysis infrastructures hold the key to gaining insights from data today, and into tomorrow.
Read moreImmersive and exciting, Virtual Reality is already part of our lives, whether it’s a plot device in a new sci-fi thriller or the best way to enjoy the latest video games or thrill rides.
Read moreNow that smartphones are the most widely used tool for navigating important life activities (nearly two thirds of Americans own one[1]), there’s pretty much an app for everything these days.
Read moreIf you’re tasked with choosing an API management system, Charles Dickens summed it up best: “It was the best of times, it was the worst of times.”
Read moreDevOps: the panacea for all that’s wrong with enterprise IT. Where siloed teams who keep information close to their chest are replaced by agile, transparent relationships between developers and operations and fast and stable workflows that improve IT efficiency significantly and very visibly.
Read moreAs a technology company focused on complex project integrations that unify legacy systems as well as modular solutions that ensure lasting scalability, we work on a multitude of projects that involve custom software development; packaged, open source, and SaaS software integration; infrastructure setup; and production operations and maintenance.
Read moreIn an earlier blog we talked about why you need to integrate API management into your business strategy
Read moreIn a previous release of “What the Tech?” we discussed why you should integrate API management into your business strategy.
Read moreSmart cars, smart homes, smart devices. The Internet of Things (IoT) is already transforming how we live. But very soon, the IoT will swiftly extend into the enterprise.
Read moreWhy you Need to Integrate API Management into your Business Strategy
Read moreThe promise of big data is, well, big! With terabytes of intelligence at their disposal, organizations can make faster, more accurate decisions, monitor trends, and even predict the future.
Read moreBusinesses accumulate data, create content, or possess unique business logic—each of which represents an untapped business opportunity. But how can organizations realize that opportunity?
Read moreThe Internet of Things (IoT) is much more than a consumer trend, it’s rapidly changing the way enterprises are using data to improve business decision-making.
Read moreContent consumption is changing rapidly. With multiple channels and media formats, reaching target audiences is getting harder than ever.
Read moreThe way in which we consume content is changing rapidly and a few trends have emerged recently that we think will have a meaningful impact on media organizations this year and in years to come.
Read moreBuilding a mobile app isn’t as simple as it used to be. With multiple devices to cater to, development teams must ask themselves a few questions:
Read more