Business Intelligence (BI) and data analytics software vendors need to keep themselves updated on the latest strategic technology trends to create more effective and useful BI solutions. Similarly, business users should also be aware of the newest technology disruptions so they can make better use of their installed business intelligence solutions. We help them in this article by detailing the vital technology trends that are expected to rule the roost in 2020. They include artificial intelligence (AI) security, blockchain, hyper-automation, and others.
Improved AI security :
Growing technologies like hyper-automation present transformational avenues for businesses. However, they also produce security concerns by presenting new points for potential attacks. Security experts need to tackle these challenges by learning about the impact of AI on security.
AI security entails the following: First, to safeguard AI-driven platforms and protect machine learning (ML) models and AI training pipelines and data. Second, to leverage AI to improve security defense and utilize ML to comprehend patterns and automate cybersecurity procedures. Third, to anticipate and defend against AI use by attackers.
Business blockchain adopts practical methods and uses only helpful elements of a full blockchain. Authorized users access the same data and one shared blockchain simplifies integration. Experts anticipate that in the future, “blockchain complete” or true blockchain can potentially transform industries and the economy by integrating complementary technologies like IoT and AI.
More Autonomous Devices
Autonomous things like appliances, ships, robots, and drones utilize AI to carry out human-like tasks. This technology uses semiautonomous to completely autonomous intelligence across a range of environments including land, sea, and air. Plus, autonomous things will extend beyond controlled environments like warehouses and become functional in open spaces. In addition, autonomous devices will shift to collaborative swarms from standalone devices – like the drone swarms deployed during the 2018 Winter Olympic Games.
The distributed cloud
This technology trend refers to the diversification of public cloud services to places outside the cloud vendor’s data centers, while remaining in the provider’s control. For the distributed cloud, the vendor takes care of all elements including cloud platform architecture, governance, updates, operations, and delivery. The advantage is vendors can locate their data centers anywhere which helps to resolve both regulatory and technical challenges like data sovereignty and latency. In addition, users get the combined advantages of both public and private clouds.
The Enhanced Edge
Edge computing is a growing trend that keeps traffic distributed and local to minimize latency. Further, it places content gathering and delivery and information processing nearer the data sources. The empowered edge uses IoT technology and moves vital services and applications closer to users and their devices.
Greater Traceability and Transparency
Creators of software products like data analytics and business intelligence solutions need to make their platforms secure to protect the confidential business data of their client companies. Consumers are concerned because enterprises are increasingly utilizing ML and AI technologies to make corporate decisions substituting humans.
This trend is powering the requirement for processes like AI governance and explainable AI. As a result, we can expect more regulations like the EU’s GDPR to be implemented around the globe in the future.
Human augmentation is a debatable trend that utilizes technology to improve a person’s physical and cognitive experiences. This gives rise to an array of ethical and cultural issues. For instance, leveraging CRISPR technologies to improve genes throws up ethical concerns.
In the business world, the mining sector uses wearables to enhance worker safety. Other verticals like travel and retail also utilize wearable devices to boost employee productivity.
Multi experience is created by the use of multi-touchpoint and multisensory devices like sophisticated computer sensors and wearables. This trend is expected to evolve over the years and become what is called ambient experience. The multi-experience involves immersive experiences that utilize sensing, mixed reality, virtual reality, and augmented reality technologies.
Hyperautomation enhances task automation by using advanced technologies like ML and AI. It allows organizations to visualize how processes, functions, and KPIs interact to boost value. Since no single application can substitute humans, hyper-automation involves a combination of components. These programs include smart business management platforms like BI solutions and robotic process automation tools.