Qlik is at the forefront of bringing augmented intelligence even further into analytics, helping business users scale their ability to explore and surface key insights from all their data. As we expand the role and use of analytics through our customer organizations, we know that making it easier for users to interact with data is essential to both increased adoption and higher data value.
At Qlik, we have a saying that an angel loses its wings every time data is exported to a spreadsheet. Don’t be responsible for an angel losing its wings.
Catch-phrases like “data is the new oil” are popping up everywhere, and rightfully so. Data is an extremely valuable asset, and organizations everywhere and across all industries are trying to capitalize on their own asset of data. One-way companies are trying to gain value from their data is through democratization.
Last June, we released the first phase of multi-cloud deployment options for Qlik Sense Enterprise – our first in a series of steps in delivering unparalleled flexibility and choice in how you deploy analytics across public and private clouds, and on-premise.
From augmented intelligence to multi-cloud deployment, here's a look back at our path to innovation in 2018.
New year, and time for the annual trends webinar. It’s the third time I have the honor to present it. As always, it takes a village to create this, and I’m thankful for all the people who chipped in. I’d like to highlight in particular Murray Grigo McMahon. His blog on data as an ecosystem, as well as great discussions, was a big source of inspiration, and will feature in the trends. This year, the title of the webinar is “The Dawn of Postmodern Analytics”.
Can you believe it’s almost 2019? We can’t either, but we’re excited it’ll be another big year for developers. According to the U.S. Bureau of Labor Statistics, due to increased demand for software solutions, developer employment is forecasted to increase 24% from 2016 to 2026 (Qlik’s contributing with these worldwide openings). To compare, the average growth rate for all occupations is 7%.
It’s said that we should learn something new every day and in the past 24 hrs I’ve done very well, I’ve learnt 4 new facts. So, which one of these “facts” do you think is not data driven?
Data is the lifeblood of AI. An AI system needs to learn from data, as well as from humans, in order to be able to fulfill its function. Unfortunately, organizations are already struggling to integrate data from multiple sources to create a single source of truth on their customers, products, or other data. AI will not solve these data issues, it will only make them more pronounced.
