WHY IT MATTERS: Digital Transformation

To succeed with data and analytics initiatives, enterprises need a comprehensive view of critical technology capabilities. We believe these Hype Cycles draw a holistic view of technologies — including the new addition of lakehouse architecture as a trigger, which can make data and analytics programs modern, broadly applied, richer in functionality and successful.

Get the report and gain insight into:
-Changes in this Hype Cycle — including the addition of Lakehouse
-The current state of data management maturity
-The Priority Matrix

The automation, and control of the resulting data, raises questions about the role of human farmers.

Business intelligence white papers on BI industry trends, and the latest BI and analytics analyst reports from Gartner, Dresner, BARC and Forrester.

While CDP vendors may claim to do everything, the fact is they can’t.

Gartner Top 10 Data and Analytics Trends for 2021

12 technology trends that will help shape the future of digital business.

The definition of self-service is shifting in this field as augmented capabilities pervade platforms. At the same time, cloud ecosystems and alignment with productivity tools have become key selection factors. This Magic Quadrant will help data and analytics leaders plan an analytics and BI roadmap.

Technology is the future of customer experience. These statistics show the grow of new technology and how it impacts everything about the future of customer experience.

Road traffic injuries are a leading cause of death worldwide. Proper estimation of car accident risk is critical for appropriate allocation of resources in healthcare, insurance, civil engineering, and other industries. We show how images of houses are predictive of car accidents. We analyze 20,000 addresses of insurance company clients, collect a corresponding house image using Google Street View, and annotate house features such as age, type, and condition. We find that this information substantially improves car accident risk prediction compared to the state-of-the-art risk model of the insurance company and could be used for price discrimination. From this perspective, public availability of house images raises legal and social concerns, as they can be a proxy of ethnicity, religion and other sensitive data.

Gartner has recognized ThoughtSpot as a Leader in the 2019 Magic Quadrant for Analytics and BI Platforms. ThoughtSpot’s search and AI-driven analytics platform makes it easy for anyone to get insights in seconds.

Securitas 2018 investor update conference presents the strategy for the future.

Check out the top-performing retailers and ecommerce companies as evaluated by Sailthru's experts in retail personalization and customer experience.

An overview of influencer that inspire me daily when reading the newest trends on digital transformation. Feel free to add your favorite influencer on this list. I personally have no influence on the ranking - a neutral algorithm calculates who has the most impact online. So all fame and blame belongs to the algorithm.

As machines increasingly complement human labor in the workplace, we will all need to adjust to reap the benefits.

It may come as no surprise that technology-centric roles stole the show among emerging jobs in the United States, but the prevalence of machine learning and data science roles and skills indicate a shift in the types of technology we can expect to be using in the near future, as well as what professionals should be preparing themselves for.

Having an academic background and a comprehensive suite of skills were also strong trends, especially among professionals who are now machine learning engineers and data scientists. Both of these roles are also often held by professionals with 10 years or more of professional experience, so for those just starting out and having trouble landing one of these titles, don’t be discouraged!

It’s always a good reminder that soft skills will always be important, no matter the profession. The ability to collaborate, be a leader, and learn from colleagues will stand out in interviews, and even more once starting a job.

Google has gathered so much data, in so many areas, that it’s now crunching it together and creating features that Apple can’t make—surrounding Google Maps with a moat of time.

The graph represents a network of 3,518 Twitter users whose tweets in the requested range contained "(Artificial Intelligence) OR #AI", or who were replied to or mentioned in those tweets.

Instacart is excited to announce our first public dataset release, “The Instacart Online Grocery Shopping Dataset 2017”. This anonymized dataset contains a sample of over 3 million grocery orders from more than 200,000 Instacart users.

For each user, we provide between 4 and 100 of their orders, with the sequence of products purchased in each order. We also provide the week and hour of day the order was placed, and a relative measure of time between orders.

Big data’s potential just keeps growing. Taking full advantage means companies must incorporate analytics into their strategic vision and use it to make better, faster decisions.

• 70% of retail decision makers globally are ready to adopt the Internet of Things to improve customer experiences.
• 73% of retailers rate managing big data as important or business-critical to their operations.
• 78% of retailers say it is important or business-critical to integrate e-commerce and in-store experiences, so an omnichannel experience is delivered to every customer.
• 87% of retailers will deploy mobile point-of-sale (MPOS) devices by 2021, enabling them to scan and accept credit or debit payments anywhere in the store.
• 90% of retailers will implement buy online, pickup in store by 2021.

With the explosive growth of online activity and social media around the world, the massive amount of real-time data created directly by populations of interest has become an increasingly attractive and fruitful source for analysis. Despite the limitation that social media users in the United States are not a random sample of the US population [7], there is a wealth of information in these data sets and uneven sampling can often be accommodated.

Indeed, online activity is now considered by many to be a promising data source for detecting health conditions [8, 9] and gathering public health information [10, 11], and within the last decade, researchers have constructed a range of public-health instruments with varying degrees of success.

Fine-tuning these algorithms is key to improving large-scale analysis of social media, whether the goal is to measure the caloric content of a tweet or to find the next developing news story. These technologies represent new ways of finding and understanding the conversations we're having as a country -- chatter that is increasingly moving online.

Explore the fitness and workout trends of Fitbit users, and get exercise advice from the experts in this comprehensive, interactive infographic. At Fitbit, we geek out about workouts. Feast your fitness-loving eyes on the first ever Fitbit Health & Activity Index that identifies some of the most popular activities, shifts in workout trends, and ways to stay motivated.