• 71% of enterprises globally predict their investments in data and analytics will accelerate in the next three years and beyond
• 57% of enterprises globally have a Chief Data Officer, a leadership role that is pivotal in helping to democratise data and analytics across any organisation
• 52% of enterprises are leveraging advanced and predictive analytics today to provide greater insights and contextual intelligence into operations
• 41% of all enterprises are considering a move to cloud-based analytics in the next year
• Cloud computing (24%), big data (20%), and AI/machine learning (18%) are the three technologies...

Capitalising on new digital business models and the growth opportunities they provide are forcing companies to re-evaluate ERP’s role. Made inflexible by years of customisation, legacy ERP systems aren’t delivering what digital business models need today to scale and grow.

Legacy ERP systems were purpose-built to excel at production consistency first at the expense of flexibility and responsiveness to customers’ changing requirements. By taking a business case-based approach to integrating...

• Digital businesses that lost less than 1% of their customers due to a data breach incurred a cost of $2.8M, and if 4% or more were lost the cost soared to $6M.
• U.S. based breaches are the most expensive globally, costing on average $7.91M with the highest global notification cost as well, $740,000.
• A typical data breach costs a company $3.86M, up 6.4% from $3.62M last year.
• Digital businesses that have security automation can minimize the costs of breaches by $1.55M versus those businesses who are not ($2.88M versus $4.43M).
• 48% of all breaches are initiated by malicious or criminal...

• Identities, not systems, are the new security perimeter for any digital business, with 81% of breaches involving weak, default or stolen passwords.
• 53% of enterprises feel they are more susceptible to threats since 2015.
• 51% of enterprises suffered at least one breach in the past 12 months and malicious insider incidents increased 11% year-over-year.

These and many other fascinating insights are from SecurIT: the Zero Trust Summit for CIOs and CISOs held last month in San Francisco, CA.

• Executive management, operations, and sales are the three primary roles driving Business Intelligence (BI) adoption in 2018.
• Dashboards, reporting, end-user self-service, advanced visualization, and data warehousing are the top five most important technologies and initiatives strategic to BI in 2018.
• Small organizations with up to 100 employees have the highest rate of BI penetration or adoption in 2018.
• Organizations successful with analytics and BI apps define success in business results, while unsuccessful organizations concentrate on adoption rate first.
• 50% of vendors offer perpetual on-premises licensing...

• Worldwide big data market revenues for software and services are projected to increase from $42bn in 2018 to $103bn in 2027, attaining a Compound Annual Growth Rate (CAGR) of 10.48% according to Wikibon
• Forrester predicts the global big data software market will be worth $31bn this year, growing 14% from the previous year. The entire global software market is forecast to be worth $628bn in revenue, with $302bn from...

Bottom line: Zero Trust Security (ZTS) starts with Next-Gen Access (NGA). Capitalizing on machine learning technology to enable NGA is essential in achieving user adoption, scalability, and agility in securing applications, devices, endpoints, and infrastructure.

How next-gen access and machine learning enable zero trust security

Zero Trust Security provides digital businesses with the security strategy they need to keep growing by scaling across each new perimeter and endpoint created as a result of growth....

• Employees would most recommend Dataiku, StreamSets, 1010 Data, Reltio, Looker, SAP, Google, Salesforce, Tamr, DataRobot, 

• Hiring companies nationwide miss out on 50% or more of qualified candidates and tech firms incorrectly classify up 80% of candidates due to inaccuracies and shortcomings of existing Applicant Tracking Systems (ATS), illustrating how faulty these systems are for enabling hiring.
• It takes on average 42 days to fill a position, and up to 60 days or longer to fill positions requiring in-demand technical skills and costs an average $5,000 to fill each position.
• Women applicants have a 19% chance of being eliminated from consideration for a job after a recruiter screen and...

• 80% of the positions open in the U.S. alone were due to attrition. On an average, it costs $5,000 to fill an open position and takes on average of 2 months to find a new employee. Reducing attrition removes a major impediment to any company’s productivity.
• The average employee’s tenure at a cloud-based enterprise software company is 19 months; in the Silicon Valley this trends to 14 months due to intense competition for talent according to C-level executives.
• Eightfold.ai can quantify hiring bias and has found it occurs 35%...

• Cloud BI adoption is soaring in 2018, nearly doubling 2016 adoption levels.
• Over 90% of sales and marketing teams say that cloud BI is essential for getting their work done in 2018, leading all categories in the survey.
• 66% of organizations that consider themselves completely successful with business intelligence (BI) initiatives currently use the cloud.
• Financial Services (62%), technology (54%), and education (54%) have the highest Cloud BI adoption rates in 2018.
• 86% of Cloud BI adopters name Amazon AWS as their first choice, 82% name Microsoft Azure, 66% name Google Cloud, and 36% identify IBM...

By enabling enterprises to scale security with user behaviour-based, contextual intelligence, next-gen access strategies are delivering Zero Trust Security (ZTS) enterprise-wide, enabling the fastest companies to keep growing strong.

Every digital business is facing a security paradox today created by their proliferating amount of applications, endpoints and infrastructure on the one hand and the need to scale enterprise security without reducing the quality of user experiences on the other. Businesses face a...

• $86bn was spent on security in 2017, yet 66% of companies have still been breached an average of five or more times.
• Just 55% of CEOs say their organizations have experienced a breach, while 79% of CTOs acknowledge breaches have occurred. One in approximately four CEOs (24%) aren’t aware if their companies have even had a security breach.
• 62% of CEOs inaccurately cite malware as the primary threat to cybersecurity.
• 68% of executives whose companies experienced significant breaches in hindsight believe that the breach could have been prevented by implementing more...

• Improving semiconductor manufacturing yields up to 30%, reducing scrap rates, and optimising fab operations is achievable with machine learning.
• Reducing supply chain forecasting errors by 50% and lost sales by 65% with better product availability is achievable with machine learning.
• Automating quality testing using machine learning is increasing defect detection rates up to 90%.

Bottom line: Machine learning algorithms, applications, and platforms are helping manufacturers find new business models, fine-tune product quality, and optimise...

• 84% of marketing organizations are implementing or expanding AI and machine learning in 2018.
• 75% of enterprises using AI and machine learning enhance customer satisfaction by more than 10%.
• 3 in 4 organizations implementing AI and machine learning increase sales of new products and services by more than 10% according to Capgemini.

Measuring marketing’s many contributions to revenue growth is becoming more accurate and real-time thanks to...

• Machine learning patents grew at a 34% compound annual growth rate (CAGR) between 2013 and 2017, the third-fastest growing category of all patents granted
• International Data Corporation (IDC) forecasts that spending on AI and ML will grow from $12bn in 2017 to $57.6bn by 2021
• Deloitte Global predicts the number of machine learning pilots and implementations will double in 2018 compared to 2017, and double again by 2020

These and many other fascinating insights are from the latest series of machine learning market forecasts, market estimates, and...

• Enterprise investments in machine learning will nearly double over the next three years, reaching 64% adoption by 2020.
• International Data Corporation (IDC) is forecasting spending on artificial intelligence (AI) and machine learning will grow from $8B in 2016 to $47B by 2020.
• 89% of CIOs are either planning to use or are using machine learning in their organizations today.
• 53% of CIOs say machine learning is one of their core priorities as their role expands from traditional IT operations management to business strategists.
• CIOs are struggling to find the skills they need to build their...

• Data scientist has been named the best job in America for three years running, with a median base salary of $110,000 and 4,524 job openings.
• DevOps engineer is the second-best job in 2018, paying a median base salary of $105,000 and 3,369 job openings.
• There are 29,187 software engineering jobs available today, making this job the most popular regarding Glassdoor postings according to the study.

These and many other fascinating insights are from Glassdoor’s 50 Best Jobs In...

• While 94% of supply chain leaders say that digital transformation will fundamentally change supply chains in 2018, only 44% have a strategy ready.
• 66% of supply chain leaders say advanced supply chain analytics are critically important to their supply chain operations in the next 2 to 3 years.
• Forecast accuracy, demand patterns, product tracking traceability, transportation performance and analysis of product returns are use cases where analytics can close knowledge gaps.

These and other insights are from 

• There has been a 14X increase in the number of active AI startups since 2000.
• Investment into AI startups by venture capitalists has increased 6X since 2000.
• The share of jobs requiring AI skills has grown 4.5X since 2013.

These and many other fascinating insights are from Stanford University’s inaugural AI Index (PDF, no opt-in, 101 pp.). Stanford has undertaken a