Datadog

In this eBook from Datadog, Orderbird CTO Frank Schlesinger tells the story of the company’s journey from 99.9% uptime to 99.99% uptime. He explains why this seemingly small improvement is actually a major leap and describes the five key steps to get there.

Selecting a graph database is an important decision that can shape the success of your organization. This guide is intended to assist your buying decision with side-by-side comparisons of graph databases from Amazon, DataStax, Neo4j, and TigerGraph.

Prodpad

As you move into the new year you can help your product team prepare for success by exercising those product leadership muscles and implementing product management best practices. Here are our top tips for how you can lay the right foundations and get your product strategy off to a flying start.

Prodpad

It’s 2021, a new year, a new hope. Find out how ProdPad’s six New Year Resolutions for product managers will help you make positive changes for the way you think about product management as a practice and for how you do your job.

Vanilla Forums

Customer Communities Elevate the Customer Experience. Online communities provide a wealth of benefits for organizations; they impact a variety of customer activities, boost engagement, and provide a range of transformative business services. In short, a well-maintained community will provide immense brand value and elevate the customer experience. Each year, the Community Roundtable seeks to explore and assess community and the community profession, revealing key insights indicative of how the i

Vanilla Forums

What does 2021 have in store for the community profession? Will these unprecedented times expedite the rise of branded communities? What can organizations do to ensure their business remains relevant? This year's Community Predictions has all the answers! 2020 was a year unlike any we've seen in our lifetimes. These challenges have pushed organizations to seek digital solutions to remain relevant and connect with their customers online.

Revenera

Customers demand—and suppliers offer—a diverse mix of monetization models for Software and Digital Services related to IoT Devices. However, many suppliers still struggle to get a full view of what’s being used by customers, what is owed to the vendors, and how a product is being used across the customer’s business. Despite this problem, many suppliers have yet to take the step towards solutions that would provide them with these insights.

Amplitude

Digital trends can take years of buildup and several waves to reach ubiquity, and COVID-19 changed that pattern overnight. While it can be difficult to fathom the magnitude of this change, this new study from Amplitude makes it easier to comprehend! See what changed across these 5 industries: Consumer Tech. B2B & SaaS. Streaming Media. eCommerce & Marketplaces.

Data Robot

The game-changing potential of artificial intelligence (AI) and machine learning is well-documented. AI has the power to transform countless industries — including the healthcare, banking, insurance, and public service sectors, to name just a few — by introducing new efficiencies and revealing new opportunities for companies to solve problems. Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology.

Data Robot

Demand for data scientists is surging. With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. And more is being asked of data scientists as companies look to implement artificial intelligence (AI) and machine learning technologies into key operations.

Data Robot

Across the retail sector, organizations are facing a new challenge in the form of the empowered consumer. Armed with a world of information at their fingertips, consumers are looking for information that is tailored to them about what to buy, where to buy it, and where the best deals are. When it comes to working with the empowered consumer, AI has the power to help your business thrive by leveraging your own data to better understand your customers.

Vanilla Forums

As customer demands continue to grow, more organizations are looking to digitize their customer support journey, since the more traditional methods of support such as the call-center are no longer fulfilling customer needs. These digital transformations, however, are not a one-step fix, but rather a journey. This not only requires a careful reassessment of existing customer support models, but also the implementation of modern customer-centric support solutions.

Embedding dashboards and reports aren’t enough. Futureproof your application by offering instant, actionable insights that will give you and your customers a competitive advantage.

Data Robot

Across all sectors, companies are learning that they can transform their businesses by embracing Intelligent Process Automation, or IPA. With the pairing of AI and RPA, IPA adds a new layer of intelligent decision-making processes to automated RPA tasks. By automating repetitive work, and adding the ability to automate intelligent decision making, intelligent automation frees up your most valuable resources – your employees – to spend more time on higher value and more strategic work.

Data Robot

AI is becoming ubiquitous. More and more critical decisions are automated through machine learning models, determining the future of a business or making life-altering decisions for real people. The number of critical touch points is growing exponentially with the adoption of AI. But with the incredible pace of the modern world, AI systems continually face new data patterns, which make it challenging to return reliable predictions.

Data Robot

Banks have always relied on predictions to make their decisions. Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. But times are changing. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics.

Data Robot

Banks have always relied on predictions to make their decisions. Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. But times are changing. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics.

Data Robot

Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. With the emergence of enterprise AI platforms that automate and accelerate the lifecycle of an AI project, businesses can build, deploy, and manage AI applications to transform their products, services, and operations.