Cybersecurity is hard work. Resource constraints - not enough time or limited resources - and ever increasing threats coupled with compliance requirements is leaving your business at a disadvantage and causing team burnout. Cygilant SOC-as-a-Service exists to help you.
Technology is Complex. Desktops-as-a-Service is not.
Your Windows desktop and Microsoft productivity applications are the technology lifeblood of your business.
It’s where you run your business and how your employees get work done. From communicating with customers and processing orders to managing finances and working on your most sensitive documents—Microsoft is front and center.
In this introductory section, we discuss the current landscape of the medical device industry and the forces taking shape today that will drive growth into 2030 and beyond. From new technology to shifting patients’ experiences, we’ll explore how a wide range of issues are affecting product development and innovation, as well as the impact of digitization and data when it comes to device regulations and operations.
By 2025 the global medical device manufacturing market is expected to exceed $600 billion, driven largely by the aging population, increasing prevalence of chronic diseases, technological development and demand for more personalized treatments.1 Regulatory bodies are also reacting, both to protect consumer safety and to remove unnecessary roadblocks for device companies.
Despite the optimistic outlook for manufacturers, however, many are not equipped to compete in this quickly evolving marketplace. To keep pace, manufacturing organizations must break from their tried-and-true norms, which may present the biggest challenge of all. But once they do, the emerging developments in both manufacturing and technology will allow them to realize drastic efficiencies in product discovery and development, regulatory compliance and, ultimately, time to market.
This brief will explore three emerging trends that are likely to affect the speed at which medtech and life sciences manufacturers are able to deliver their life-changing products to market.
UA veterans and marketing newbies alike will gain actionable insights.
Join us in a conversation with Jeet Niyogi (Playtika), Melissa Lertsmitivanta (realtor.com), Adam Lovallo (Grow.co), and Sunil Bhagwan (AppsFlyer) as they discuss their POVs on the latest findings of AppsFlyer's semi-annual Performance IndeX report.
The Performance IndeX provides marketers with the most comprehensive report to date on the evolving mobile advertising industry. Covering activity in the second half of 2019, edition X analyzes 25 billion installs and 52 billion app opens of over 16 thousand apps around the world.
With over 5 million apps in the App Store and Google Play combined, marketers today cannot rely on pure organic discovery of their apps. That's why app owners are realizing that marketing-driven, non-organic installs play an increasingly important role in the marketing mix.
This guide will show you how to get started with mobile attribution. Including the underlying methodology of mobile attribution, post-install marketing analytics, and fraud.
As the digital ecosystem continues to expand and evolve, SaaS technology has become a mission-critical component for effective marketing operations. Marketing and advertising technology falls into numerous complex and overlapping categories, with literally thousands of partners competing for your marketing dollars.
Whether you’re building your marketing tech stack from a mobile-first or web-first perspective, it can be daunting to know where to start as well as when and how to expand. And while adding or changing marketing technology requires significant investment in terms of vetting, training, development, and other resources, adaptability is key to success.
The purpose of this guide is to provide a framework for how to build a solid marketing tech stack—focusing specifically on mobile as the core platform.
With the rise of cord cutting behavior, traditional TV ad spend has been declining in lieu of over-the-top (OTT) and digital video. OTT has made TV advertising more accessible to performance-driven marketers. Beyond the clear synergies between OTT and mobile for app advertising across screens, addressable buying methods offer more sophisticated targeting with lower barriers to entry. OTT also offers deeper insight into attribution, as advertisers are able to definitively measure one-to-one acquisition from TV advertising for the first time.
That being said, OTT is still a grey area for many—with superfluous TV terminology, fragmented options for media buying, and unclear expectations for performance and measurement, it can be tricky to know where to start.
The demand to turn raw data into business insight for today’s companies is now higher than ever. So it’s no surprise that there’s significant interest by data-driven companies for new products and services in a single platform.
An Enterprise Intelligence Platform combines what was traditionally three separate product categories for data and analytics into one seamless experience: data integration, data storage, and processing and analytics designed to meet the needs of both data consumers and data operators. According to 451 Research, 78% of data-driven companies would consider adopting an Enterprise Intelligence Platform.
Financial services institutions lost over $1.45 trillion in combined revenue to financial crimes in 2018, and this is increasing ever rapidly. Today’s leading financial institutions are increasingly relying on data, analytics, machine learning, and AI technologies to capitalize on the information needed to combat financial crime—converting raw data into actionable insights. Here are the top five approaches that have the greatest impact when creating next-generation approaches to fighting financial crime.
Analytics, machine learning, and artificial intelligence are reshaping manufacturing. The most innovative manufacturing companies are applying industrial IoT concepts, coupled with data and analytics, to transform their product development, supply chains, and manufacturing operations. Here are the top five areas where manufacturers are using the power of analytics and machine learning to drive business success.
Customer data and analytics can take many forms, from descriptive analytics on operational data to inferring customer sentiment based on real-time social media feeds. With a variety of analytical tools for streaming, operational and unstructured data, businesses are asking more questions of more data. Yet, deriving and operationalizing the best answers effectively can be a matter of connecting the dots across different analytical workflows and the different teams, from BI analysts to data scientists, that use them.
The webinar includes a live demo and Q&A with our expert panel. We hope to see you there!
Logging Modernization is a holistic approach that unlocks the value of machine generated data by using a comprehensive streaming platform. This platform should include everything from real-time data ingestion, edge processing, transformation, and routing through to descriptive, prescriptive and predictive analytics. All of which should be securely shared across on- premises, public, or hybrid cloud environments.
Apache NiFi is an integrated data logistics and simple event processing platform. It provides an end-to-end platform that can collect, curate, analyze and act on data in real-time, on-premise, or in the cloud with a drag-and-drop visual interface.
This book is a must read.