IBM’s 2018 data breach study shows why we’re in a Zero Trust world now

  • 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...

By Louis Columbus, 09 August 2018, 0 comments. Categories: Data & Analytics, Data Management, Security, Software.

Why enterprises feel more susceptible to threats than ever before

  • 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.

By Louis Columbus, 13 July 2018, 0 comments. Categories: Data Management, Enterprise, Infrastructure, Security, Vulnerabilities.

Here's where business intelligence is truly delivering value in 2018

  • 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...

By Louis Columbus, 05 July 2018, 0 comments. Categories: Big Data, Data & Analytics, Research, Software.

10 charts that will change your perspective of big data’s growth

  • 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...

By Louis Columbus, 04 June 2018, 0 comments. Categories: Big Data, Data & Analytics, Software.

Three ways machine learning is revolutionising zero trust security

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....

By Louis Columbus, 31 May 2018, 0 comments. Categories: Applications, Architecture, Security, Software.

Five reasons why machine learning can make resumes obsolete

  • 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...

By Louis Columbus, 14 May 2018, 0 comments. Categories: Applications, Software.

How to close the SaaS talent gap with machine learning capabilities

  • 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%...

By Louis Columbus, 30 April 2018, 0 comments. Categories: SaaS , Software.

The state of cloud business intelligence 2018: Why usage continues to soar

  • 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 Louis Columbus, 23 April 2018, 0 comments. Categories: Big Data, Data & Analytics, Data Management, Research.

How machine learning quantifies trust and improves employee experiences

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...

By Louis Columbus, 16 April 2018, 0 comments. Categories: Applications, Security, Software.

Five ways machine learning can save your company from a security breach meltdown

  • $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...

By Louis Columbus, 09 April 2018, 0 comments. Categories: Applications, Big Data, Data & Analytics, Data Management, Security, Software.

10 ways machine learning is revolutionising manufacturing in 2018

  • 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...

By Louis Columbus, 31 March 2018, 0 comments. Categories: Applications, Industry, Software.

10 ways machine learning is revolutionising marketing

  • 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...

By Louis Columbus, 14 March 2018, 0 comments. Categories: Applications, Big Data, Collaboration, Data & Analytics, Software.

A roundup of machine learning forecasts and market estimates for 2018

  • 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...

By Louis Columbus, 01 March 2018, 0 comments. Categories: Applications, Data & Analytics, Economy, M&A, Software.

How machine learning’s greatest potential is driving revenue in the enterprise

  • 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...

By Louis Columbus, 12 February 2018, 0 comments. Categories: Applications, CIO, Software.

Why data scientist is the best job in America - according to Glassdoor

  • 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...

By Louis Columbus, 06 February 2018, 0 comments. Categories: Big Data, Data & Analytics, Data Management.

How analytics will revolutionise supply chains in 2018

  • 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 

By Louis Columbus, 01 February 2018, 0 comments. Categories: Big Data, Data & Analytics, Software.

10 charts that will change your perspective on artificial intelligence’s growth

  • 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 

By Louis Columbus, 22 January 2018, 0 comments. Categories: Applications, Platform, Software, Trends.

Why more than three quarters of enterprise workloads will be in the cloud by 2020

  • Digitally transforming enterprises (63%) is the leading factor driving greater public cloud engagement or adoption today.
  • 66% of IT professionals say security is their most significant concern in adopting an enterprise cloud computing strategy.
  • 50% of IT professionals believe artificial intelligence and machine learning are playing a role in cloud computing adoption today, growing to 67% by 2020.
  • Artificial Intelligence (AI) and Machine Learning will be the leading catalyst driving greater cloud computing adoption by 2020.

These insights and findings are from 

By Louis Columbus, 15 January 2018, 0 comments. Categories: Adoption, Enterprise, Infrastructure.

Why data science and machine learning jobs are the most in-demand on LinkedIn

  • Machine learning engineers, data scientists, and big data engineers rank among the top emerging jobs on LinkedIn.
  • Data scientist roles have grown over 650% since 2012, but currently, 35,000 people in the US have data science skills, while hundreds of companies are hiring for those roles.
  • There are currently 1,829 open machine learning engineering positions on LinkedIn.
  • Job growth in the next decade is expected to outstrip growth during the previous decade, creating 11.5m jobs by 2026, according to the U.S. Bureau of Labor Statistics.

These and many other...

By Louis Columbus, 08 January 2018, 0 comments. Categories: Applications, Data & Analytics, Data Management.