X analytics combined with AI and other techniques such as graph analytics will play a key role in identifying, predicting and planning for natural disasters and other crises in the future. The Robotics phenomenon which began as Robotic Process Automation and then moved to Intelligent Autom ation is now headed towards Hyperautomation. Along the same lines, Gartner has identified the top 10 data and analytics (D&A) technology trends for 2020 that can help data and analytics leaders navigate their COVID-19 response and recovery and prepare for a post-pandemic reset. Considering Gartner’s predictions and other predictions, let’s review technology trends for 2020. As data and analytics moves to the cloud, data and analytics leaders still struggle to align the right services to the right use cases, which leads to unnecessary increased governance and integration overhead.Â, The question for data and analytics is moving from how much a given service costs to how it can meet the workload’s performance requirements beyond the list price. Gartner recently has disclosed top technology trends for 2020. Trend 7: Data and Analytics Worlds Collide. As businesses navigate the new normal, the role of data and analytics has become more strategic and mission critical than ever before. Gartner, Inc. identified the top 10 data and analytics (D&A) technology trends for 2020 that can help data and analytics leaders navigate their COVID-19 response and recovery and prepare for a post-pandemic reset. Augmented data management products can examine large samples of operational data, including actual queries, performance data and schemas. Within the current pandemic context, AI techniques such as machine learning (ML), optimization and natural language processing (NLP) are providing vital insights and predictions about the spread of the virus and the effectiveness and impact of countermeasures. Data and analytics leaders need to prioritize workloads that can exploit cloud capabilities and focus on cost optimization when moving to cloud. It helps data and analytics leaders find unknown relationships in data and review data not easily analysed with traditional analytics. Dynamic data stories with more automated and consumerized experiences will replace visual, point-and-click authoring and exploration. Gartner, Inc. identified the top 10 data and analytics (D&A) technology trends for 2020 that can help data and analytics leaders navigate their COVID-19 response and recovery and prepare for a … The Global Visit - an IT Evangelist Arrives Downunder! Our unmatched combination of expert-led, practitioner-sourced and data-driven research steers clients toward the right decisions on the issues that matter most. Gartner coined the term “X analytics” to be an umbrella term, where X is the data variable for a range of different structured and unstructured content such as text analytics, video analytics, audio analytics, etc. Gartner, Inc. identified the top 10 data and analytics (D&A) technology trends for 2020 that can help data and analytics leaders navigate their COVID-19 response and recovery and prepare for a post-pandemic reset. Data and analytics leaders should examine the following 10 data and analytics trends to accelerate renewal or recovery post COVID-19 pandemic: Trend … By the end of 2024, 75% of organisations will shift from piloting to operationalizing artificial intelligence (AI), driving a 5 times increase in streaming data and analytics infrastructures. Innovation is advancing quicker than ever. 1. Gartner, Inc. has released a list of its top 10 data and analytics (D&A) technology trends for 2020 that can help organisations prepare for a post-pandemic reset. Outside of limited bitcoin and smart contract use cases, ledger database management systems (DBMSs) will provide a more attractive option for single-enterprise auditing of data sources. 1 Gartner. “To innovate their way beyond COVID-19, data and analytics leaders require an ever-increasing speed and scale of analysis in terms of both processing and access to succeed,” said Rita Sallam, research vice president at Gartner.Â. PagerDuty Keeps Building on its API Strategy Copyright © 2020 Transmit Media. X analytics combined with AI and other techniques such as graph analytics will play a key role in identifying, predicting and planning for natural disasters and other crises in the future. Data and analytics are undoubtedly capable of accelerating renewal or recovery for organizations post the COVID-19 pandemic. Augmented Analytics We are a trusted advisor and an objective resource for more than 14,000 enterprises in more than 100 countries — across all major functions, in every industry and enterprise size. These data and analysis technology trends will help accelerate the update, promote innovation and rebuild society in the next three to five years. 10 Data and Analytics Trends for 2020 Here are the trends you need to watch in the years ahead. Data and analytics leaders should examine the following 10 data and analytics trends to accelerate renewal and recovery: Trend 1: Smarter, Faster, More Responsible AI. Technology research group Gartner has identified its top 10 data and analytics (D&A) technology trends to help organisations prepare for a post-pandemic reset. What common document problems can template management software resolve? By End of 2024, 75% of Organizations Will Shift from Piloting to Operationalizing AI. Outside of limited bitcoin and smart contract use cases, ledger database management systems (DBMSs) will provide a more attractive option for single-enterprise auditing of data sources. Gartner, has identified the top 10 data and analytics (D&A) technology trends for 2020 that can help data and analytics leaders navigate their COVID-19 response and recovery and prepare for a post-pandemic reset. Within the current pandemic context, AI techniques such as machine learning (ML), optimisation and natural language processing (NLP) are providing vital insights and predictions about the spread of the virus and the effectiveness and impact of countermeasures.Â, Other smarter AI techniques such as reinforcement learning and distributed learning are creating more adaptable and flexible systems to handle complex business situations; for example, agent-based systems that model and stimulate complex systems.Â. This report from Gartner look at the top 10 technology trends that data and analytics leaders should focus on as they look to make essential investments to prepare for a reset following the pandemic.For this week’s posts, click on the paragraph links. During the COVID-19 pandemic, AI has been critical in combing through thousands of research papers, news sources, social media posts and clinical trials data to help medical and public health experts predict disease spread, capacity-plan, find new treatments and identify vulnerable populations. Hyperautomation According to Burke, today many organizations are doing simple task automation, but as the world is moving toward process automation it will eventually end up with the process in which an entire organization is automated – DigitalOps. By 2022, public cloud services will be essential for 90% of data and analytics innovation. The shift to dynamic data stories that leverage for example augmented analytics or NLP, means that the most relevant insights will stream to each user based on their context, role or use. First, blockchain provides the full lineage of assets and transactions. The True Impact of COVID On Employees: Report, Kodak Alaris rides a wave of Intelligent Automation in APAC. The global research and advisory firm Gartner and its Vice President have compiled the list of ‘Top 10 Strategic Technology Trends for 2020’. For more than 35 years, Gartner has been the leader in information technology research and advice. By 2023, graph technologies will facilitate rapid contextualisation for decision making in 30% of organisations worldwide. By 2022, 35% of large organizations will be either sellers or buyers of data via formal online data marketplaces, up from 25% in 2020. Trend 1: Smarter, faster, more responsible AI By the end of 2024, 75% of enterprises will shift from piloting to operationalizing AI, driving a 5X increase in streaming data and analytics infrastructures. Decision intelligence brings together several disciplines, including decision management and decision support. Top 2020 Trends in Data & Analytics for Data and Analytics Leaders Gartner Report “To innovate their way beyond the post-COVID-19 world, data and analytics leaders require an ever-increasing velocity and scale of analysis in terms of processing and access to … Gartner has revealed the top 10 trends within data and analytics that will help leaders in the space navigate their response to Covid-19 The cloud and blockchain are among the latest trends for assisting data and analytics through the pandemic. The collision of data and analytics will increase interaction and collaboration between historically separate data and analytics roles. By 2023, graph technologies will facilitate rapid contextualization for decision making in 30% of organizations worldwide. “To innovate their way beyond COVID-19, data and analytics leaders require an ever-increasing speed and scale of analysis in terms of both processing and access to succeed,” said Rita Sallam, research vice president at Gartner. Trend #1: Augmented analytics. It also converts metadata from being used in auditing, lineage and reporting to powering dynamic systems. By 2023, more than 33% of large organisations will have analysts practicing decision intelligence, including decision modelling. Data and analytics leaders should examine the following 10 data and analytics trends to accelerate renewal or recovery post COVID-19 pandemic: Smarter, faster, more responsible AI. This Gartner report, Top 10 Trends in Data and Analytics, 2020, explores the technology trends most relevant to business and IT leaders in a rapidly-evolving business climate. As a result, the amount of time users spend using predefined dashboards will decline. By 2024, 75% of organizations will shift from piloting AI to operationalizing it. Gartner monitored how companies have been using the technologies and recently published some trends they're seeing, as well as predictions for where the industry will go in the next few years. Data marketplaces and exchanges provide single platforms to consolidate third-party data offerings and reduce costs for third-party data. Gartner Releases Top Ten Trends in Data Analytics for 2020 “By 2025, data stories will be the most widespread way of consuming analytics , and 75% of stories will be automatically generated using augmented analytics techniques.” Gartner says by 2020, augmented analytics will be the main selling point for analytics and BI solutions. Gartner, a leading research and advisory company identified the top 10 data and analytics (D&A) technology trends for 2020 that can help data and analytics … Vendors offering end-to-end workflows enabled by augmented analytics blur the distinction between the two markets. (2020, May 11). Credit by: Peter High Today Gartner, Inc. announced its top ten strategic technology trends for 2020. It provides a framework to help data and analytics leaders design, model, align, execute, monitor and tune decision models and processes in the context of business outcomes and behavior. Gartner coined the term “X analytics” to be an umbrella term, where X is the data variable for a range of different structured and unstructured content such as text analytics, video analytics, audio analytics, etc. Gartner clients can read more in the report “Top 10 Trends in Data and Analytics, 2020.”. We equip business leaders with indispensable insights, advice and tools to achieve their mission-critical priorities today and build the successful organizations of tomorrow. Gartner’s Top 10 Technology Trends For 2020 That Will Shape The Future. Tech Posts. Gartner: Top 10 strategic technology trends in 2020. Graph analytics is a set of analytic techniques that allows for the exploration of relationships between entities of interest such as organizations, people and transactions. Data and analytics capabilities have traditionally been considered distinct entities and managed accordingly. By 2023, more than 33% of large organizations will have analysts practicing decision intelligence, including decision modeling. Here's a brief summary of their top data and analytics tech trends. It provides a framework to help data and analytics leaders design, model, align, execute, monitor and tune decision models and processes in the context of business outcomes and behaviour.Â. 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