Over the past year, enterprise digital transformation efforts have accelerated significantly with a major focus not only on how data is managed and stored, but also on how data is leveraged to deliver business insights.
DataOps continues to gain a foothold in organizations hungry for speed, agility, and innovation. The adoption of machine learning and complementary technologies, such as cognitive graphs, is increasing.
There is a growing focus on cutting-edge data and analytics in coordination with Internet of Things initiatives. All the while, the deployment of cloud platforms and services is constantly expanding.
Looking towards 2022, DBTA has brought together eminent experts such as Jay Yu, Vice President of Product and Innovation, TigerGraph; Anis Dotis Giorgio, developer attorney, InfluxData; and Nicholas Krusten, Vice President of Product Plotly, for a roundtable webinar to delve into the best trends in data science and engineering.
According to Gartner, “By 2025, graph technologies will be used in 80% of data and analytics innovations, up from 10% in 2021, facilitating rapid decision making across the organization,” Yu noted.
Yu said that graphing naturally ties data together in a simple and efficient way that other big data technologies can’t. A graph is a natural, adaptable model for converting data into knowledge and insights.
Yu predicted that 2022 would see the rise of graph data science. This will be the natural integration of data as well as learning where relationships are key.
Krutchen believes that low-coding analytic applications created by data scientists will become a trend in 2022. To unleash the value of AI, data science must be a team sport. That’s what Plotly’s Dash Enterprise is all about.
Fortune 500 companies use Dash Enterprise to connect end users with AI through their existing workflows. Krutchen said developing a low-code Dash app boosts developer productivity.
Dotis-Georgiou explains that InfluxDB 2.0 is a time series database visualization, query and task engine. She sees 2022 as bringing cross-enterprise models and strategic data alliances, map automation, unified data models for the Internet of Things, and more.
InfluxData is preparing for the future by offering its own solutions like Prophet, which provides forecasting of time series data based on an additive model where non-linear trends fit into annual, weekly and daily seasonality, as well as holiday impacts. It works best with time series that have strong seasonal effects and many seasons of historical data.
Zeppelin Notebooks along with InfluxData offer a fully open web-based notebook that enables interactive data analytics, noted Dotis-Georgiou.
An on-demand archived replay of this webinar is available here.