WHY IT MATTERS: Digital Transformation

An agile approach to overhauling data architecture improves speed, flexibility, and innovation.

This weekend, we want to introduce you to Will Douglas Heaven. Will is our senior editor for AI. He has a PhD in computer science from Imperial College London and was founding editor at the BBC tech-meets-geopolitics website Future Now and chief technology editor at New Scientist magazine.

Neuroscientist and tech entrepreneur Jeff Hawkins claims he’s figured out how intelligence works—and he wants every AI lab in the world to know about it. 

Download Shopify’s Future of Commerce report for sound predictions from commerce leaders and business forecasts that will impact 2022 and beyond.

Emirates NBD’s Neeraj Makin and Saud Al Dhawyani discuss how APIs became central to their organization’s IT transformation.

Today, HubSpot announced a milestone of more than 1,000 integrated apps featured in the app marketplace for its CRM platform. The call to better integrate martech is being heard. As you may know, I joined HubSpot a little over four years ago to help grow its platform ecosystem. So I'm delighted to see this momentum build. And I feel like it's still in the early stages of what it will become. A huge 'thank you'

Could Configure, Price, Quote (CPQ) software be the secret to bridging the gap between your customers’ escalating expectations and your current sales experience? Our definitive guide covers everything you need to know about CPQ. From core capabilities and benefits, to finding the right solution and implementing it.
- What CPQ is and how it’s evolved
- Common reasons for implementing CPQ
- Core CPQ capabilities
- Finding a future-proof CPQ solution
- CPQ benefits – for sales and the rest of your business
- Getting your CPQ implementation right.

Congratulations on making it to the end of 2021. It's been a long year for everyone as we navigated the ongoing pandemic saga. From the perspective of advancing digital business, these past 21 months have seen leaps and bounds forward. But the circumstances that catalyzed this punctuated equilibrium of marketing's evolution have been hard for so many in so many ways. I'm not going to subject you to the phrase 'the new normal' again —

The best protection against being hacked is well-informed developers. Make your development team into security experts today.

This frequently-updated page contains real-life examples and diagrams from Upsolver customers who are using AWS data lakes. While the Upsolver platform itself is a key component in all of these architectures, we hope even non-customers can learn from these examples when it comes to the use cases, considerations, and design patterns that go into a typical cloud data lake.

APM continues to be critical for modern, multicloud observability. Read the report where Gartner defines the market as "software that enables the observation of application behaviour and its infrastructure dependencies, users, and business key performance indicators (KPIs) throughout the application’s life cycle," and see why we’re positioned highest and furthest in both Completeness of Vision & Ability to Execute.

The post-pandemic workplace continues to shift and requires collaboration between remote workers and office workers. Digital transformation has accelerated across every organization and CIOs must maneuver to keep pace. Customer expectations have shifted, and spending habits are moving away from in-person activities to online. IT must improve its maturity in key capabilities to maintain relevance in the organization.

Hello, 2022! Following my wrap-up of martech from 2021 — tl;dr a year in digital marketing that was experienced like a Twitch stream at 1.5X speed — let's jump in to the martech topics I expect will shape 2022.

Marketing attribution frequently arises as a hot topic among RSG’s MarTech Leadership Council members.  So in our last private meeting, we decided to address it head on, including a couple of case studies, one B2C and the other B2B.

To succeed with data and analytics initiatives, enterprises need a comprehensive view of critical technology capabilities. We believe these Hype Cycles draw a holistic view of technologies — including the new addition of lakehouse architecture as a trigger, which can make data and analytics programs modern, broadly applied, richer in functionality and successful.

Get the report and gain insight into:
-Changes in this Hype Cycle — including the addition of Lakehouse
-The current state of data management maturity
-The Priority Matrix

Data cleaning is a massive part of data pre-processing and model building for machine learning algorithms so it's something you can never miss.

Sometimes the centre of gravity in tech is very clear, but as we enter 2022 there are lots of areas where trillion dollar questions are wide open. These are the questions I wonder about today, from crypto to cars to fast fashion - there are others.

IN THIS GUIDE YOU’LL LEARN
- How moving beyond dashboards can uncover new growth opportunities
- Tactics for deeper analysis based on churn, product, and pipeline data
- What type of solutions inspire faster, more collaborative analytics workflows
- How top companies use Mode to accomplish these goals

Josh Evans talks about the chaotic and vibrant world of microservices at Netflix. He starts with the basics- the anatomy of a microservice, the challenges around distributed systems, and the benefits. Then he builds on that foundation exploring the cultural, architectural, and operational methods that lead to microservice mastery.

Discover 6 ways tech will change the grocery store experience, from text-based customer service to micro-fulfillment to virtual kitchens.

Successful companies are meeting this challenge by taking a “customer-back” perspective. Based on a clear understanding of the skills, behaviors, and mindsets the organization requires, these companies identify capability gaps and improvement opportunities across their workforce. Then, instead of offering “one size fits all” training, they design their capability programs based on detailed analysis of the needs of individual learners—while instilling a culture that fosters learning throughout the organization. That involves the application of a few powerful principles.

“Self-hosting” is a practice that pretty much describes itself: running your own internet services, typically on hardware you own and have at home. This contrasts with relying on products from large tech companies, which the user has no direct involvement in. A self-hoster controls it all, from the hardware used to the configuration of the software.

The automation, and control of the resulting data, raises questions about the role of human farmers.

Business intelligence white papers on BI industry trends, and the latest BI and analytics analyst reports from Gartner, Dresner, BARC and Forrester.

In this article, we’ll present seven of the key best practices you should adhere to when designing, implementing and operationalizing your data lake. These are things that will mostly be automatically implemented if you’re using Upsolver, but if you’re building your data lake ‘manually’ you’ll need to ensure they’re done correctly if you want to get the most value out of your data lake architecture.
While we will mostly be referring to Amazon S3 as the storage layer, these best practices would also apply for a data lake built on a different cloud or using Hadoop on-premise.