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jonerp : byline=louis   14

Predicting The Future Of Digital Marketplaces
"Competitive differentiation, buyer retention, buyer acquisition, and social media engagement and the four most common customer-facing challenges marketplaces face today. 39% of marketing execs say that differentiating from competitors is the greatest challenge, followed by buyer retention (32%), buyer acquisition (29%) and effective social media campaigns (29%) Further validation that today’s digital marketplaces are enabling greater digital transformation through personalization is found in just 22% of respondents said customer experience is a challenge."
business  featured  posts  technology  software  trends  &  concepts  altimeter  group  byline=louis  columbus  digital  marketplaces  ecommerce  forrester  google  cloud  platform  kahuna 
12 weeks ago by jonerp
Which CRM Applications Matter Most In 2018
"Marketing analytics continues to be hot for marketing leaders, who now see it as a key business requirement and a source of competitive differentiation. In my opinion and based on discussions with CMOs, interest in marketing analytics is soaring as they are all looking to quantify their team’s contribution to lead generation, pipeline growth, and revenue. I see analytics- and data-driven clarity as the new normal. I believe that knowing how to quantify marketing contributions and performance requires CMOs and their teams to stay on top of the latest marketing, mobile marketing, and predictive customer analytics apps and technologies constantly. The metrics marketers choose today define who they will be tomorrow and in the future."
business  featured  posts  technology  software  trends  &  concepts  ai  byline=louis  columbus  cloud  computing  cpq  crm  customer  relationship  management  enterprise 
november 2018 by jonerp
Zero Trust Security Update From The SecurIT Zero Trust Summit
"Identities, not systems, are the new security perimeter for any digital business, with 81% of breaches involving weak, default or stolen passwords. Tom Kemp, Co-Founder, and CEO, Centrify, provided key insights into the current state of enterprise IT security and how existing methods aren’t scaling completely enough to protect every application, endpoint, and infrastructure of any digital business. He illustrated how $86B was spent on cybersecurity, yet a stunning 66% of companies were still breached. Companies targeted for breaches averaged five or more separate breaches already. The following graphic underscores how identities are the new enterprise perimeter, making NGA and ZTS a must-have for any digital business."
business  featured  posts  technology  software  byline=louis  columbus  centrify  cio  cso  cybersecurity  machine-learning  based  security  next-gen  access  nga 
july 2018 by jonerp
Analytics Are Empowering Next-Gen Access And Zero Trust Security
"Machine learning-based NGA platforms including Centrify calculate a risk score that quantifies the relative level of trust based on every access attempt across an IT infrastructure. NGA platforms rely on machine learning algorithms to continuously learn and generate contextual intelligence that is used to streamline verified user’s access while thwarting many potential threats ― the most common of which is compromised credentials. IT security teams can combine the insights gained from machine learning, user profiles, and contextual intelligence to fine-tune the variables and attributes that calculate risk scores using cloud-enabled analytics services.
business  featured  posts  technology  software  byline=louis  columbus  centrify  analytics  service  next-gen  access  nga  verizon  mobile  security  index  2018  report  zero  trust 
july 2018 by jonerp
Five Reasons Why Machine Learning Needs To Make Resumes Obsolete
"The comparative analysis of high achievers’ characteristics with applicants takes seconds to complete, providing a list of prospects complete with profiles. Machine learning-derived profiles of potential hires meeting the high performers’ characteristics provided greater contextual intelligence than any resume ever could."
business  featured  posts  technology  software  applicant  tracking  systems  artificial  intelligence  byline=louis  columbus  louis  columbus'  blog  machine  learning  recruitment  résumé 
may 2018 by jonerp
How Zero Trust Security Fuels New Business Growth
"Zero Trust Security (ZTS) strategies enabled by Next-Gen Access (NGA) are indispensable for assuring uninterrupted digital business growth, and are proving to be a scalable security framework for streamlining onboarding and systems access for sales channels, partners, patients, and customers of fast-growing businesses."
business  featured  posts  technology  software  byline=louis  columbus  enteprise  security  gdpr  next-gen  access  zero  trust 
may 2018 by jonerp
What’s Missing From Gartner’s 2018 Magic Quadrant For CPQ
"Magic quadrants and market analysis grids are designed to guide enterprise buyers to the best possible technologies for their needs. The recently published Gartner Magic Quadrant for Configure, Price, and Quote (CPQ) Application Suites, 2018 (client access reqd.) doesn’t address the most challenging problem enterprises face making CPQ strategies work, which is enterprise-wide systems integration. Members of the CPQ vendor landscape are growing complacent and need to intensify innovation efforts too."
business  featured  posts  technology  software  2018  and  quote  (cpq)  application  suites  byline=louis  columbus  configure  cpq  crm  gartner  magic  quadrant  for 
april 2018 by jonerp
Five Ways Machine Learning Can Save Your Company From A Security Breach Meltdown
"However, 62% of CEOs have the impression that multi-factor authentication is difficult to manage. Thus, their primary security concern is primarily driven by how to avoid delivering poor user experiences. In this context, machine learning can assist in strengthening the foundation of a multi-factor authentication platform to increase effectiveness while streamlining user experiences."
business  featured  posts  technology  software  byline=louis  columbus  cybersecurity  machine  learning  security  breach  zero  trust 
april 2018 by jonerp
Roundup Of Machine Learning Forecasts And Market Estimates, 2018 - by @louiscolumbus
"One of the fastest growing areas of machine learning IP is the development of custom chipsets. Deloitte Global is predicting up to 800K machine learning chips will be in use across global data centers this year. Enterprises are increasing their research, investment, and piloting of machine learning programs in 2018. And while the methodologies all vary across the many sources of forecasts, market estimates, and projections, all reflect how machine learning is improving the acuity and insights of companies on how to grow faster and more profitably."
business  featured  posts  ai  analytics  and  big  data  artificial  intelligence  byline=louis  columbus  machine  learning  patents 
february 2018 by jonerp
Machine Learning’s Greatest Potential Is Driving Revenue In The Enterprise - by @louiscolumbus
"CIOs challenging the status quo of their organization’s analytics direction are more likely to rely on roadmaps for defining and selling their vision of machine learning’s revenue contributions. More than 70% of early adopter CIOs have developed a roadmap for future business process changes compared with just 33% of average CIOs."
business  featured  posts  technology  software  ai  artificial  intelligence  byline=louis  columbus  cio  machine  learning 
february 2018 by jonerp
Data Scientist Is The Best Job In America According Glassdoor - by @louiscolumbus
"
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."
business  featured  posts  ai  artificial  intelligence  byline=louis  columbus  data  science  jobs  devops  engineer  glassdoor  50  best  in  america  machine  learning 
february 2018 by jonerp
2018 Will be A Breakout Year For Supply Chain Analytics - by @louiscolumbus
"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. The Hackett Group found the majority of supply chain leaders have a sense of urgency for getting advanced supply chain analytics implemented and contributing to current and future operations. The majority see the value of having advanced analytics that can scale across their entire supplier network."
business  technology  software  analytics  and  big  data  bi  byline=louis  columbus  logistics  louis  columbus'  blog  supply  chain  management 
january 2018 by jonerp
10 Charts That Will Change Your Perspective On Artificial Intelligence’s Growth - by @louiscolumbus
"Machine Learning, Deep Learning and Natural Language Processing (NLP) are the three most in-demand skills on Monster.com. Just two years ago NLP had been predicted to be the most in-demand skill for application developers creating new AI apps. In addition to skills creating AI apps, machine learning techniques, Python, Java, C++, experience with open source development environments, Spark, MATLAB, and Hadoop are the most in-demand skills. Based on an analysis of Monster.com entries as of today, the median salary is $127,000 in the U.S. for Data Scientists, Senior Data Scientists, Artificial Intelligence Consultants and Machine Learning Managers."
business  technology  software  ai  startups  artificial  intelligence  byline=louis  columbus  louis  machine  learning  stanford  one  hundred  year  study  on  (ai100)  university 
january 2018 by jonerp
By 2020 83% Of Enterprise Workloads Will Be In The Cloud - by @louiscolumbus
"83% Of Enterprise Workloads Will Be In The Cloud By 2020. LogicMonitor’s survey is predicting that 41% of enterprise workloads will be run on public cloud platforms (Amazon AWS, Google Cloud Platform, IBM Cloud, Microsoft Azure and others) by 2020. An additional 20% are predicted to be private-cloud-based followed by another 22% running on hybrid cloud platforms by 2020. On-premise workloads are predicted to shrink from 37% today to 27% of all workloads by 2020."
business  technology  software  amazon  aws  re:invent  web  services  byline=louis  columbus  cloud  computing  enterprise  adoption  landscape 
january 2018 by jonerp

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