At Bridge, we know that a big problem facing sales leaders is not being able to onboard or train reps quickly enough to reach targets. In fact, it takes 50% of new reps 6 to 10 months to contribute to quotas. This guide is for sales leaders looking to elevate their teams and realise faster, more effective onboarding from 'Day One'. It helps at every step in the onboarding process, from hiring to providing reps with continuous learning.
Financial Services is an industry driven by disruption. Transformative business models such as low-cost brokerages, innovative investment products like ETFs, and the huge regulatory mandates like Gramm-Leach-Bliley are but a few examples. Here are some others:
• New fintech firms such as a recent nine billion dollar investment in Ant Financial Services Group and myriad other venture capital-led fintech startups targeting well established segments across the financial services industry
• Robo-advisor services powered by artificial intelligence and machine learning intermediating financial advisors and portfolio managers alike
• Ever changing regulatory and risk management mandates, such as GDPR, Basel III, and Open Banking, transforming customer engagement and capital allocation
Read this whitepaper to learn how you can overcome these and other disruptions.
This infographic describes the growing financial crime problem from several perspectives and sets out reasons why now is the time to move to self-learning analytics and other technologies available on the TIBCO platform for:
Monitoring transactions as they occur
Easily generating contextual views using accurate, real-time information
Expediting the investigation process
Evaluating potentially risky transactions
Making the right decisions quickly
Banks globally are betting big on artificial intelligence and machine learning to give them the technological edge they need for more real-time, personalized and predictive banking services. A framework will help both differentiate early winners and provide them with sustained advantages in intelligence.
Download this IDC Analyst Infobrief to learn about how the world’s best banks are becoming more personal, more predictive, and more real-time than ever.
What you will learn:
8 trends that reflect bank’s readiness for connected intelligence
9 pitfalls to avoid & 9 ways to bridge the gaps
The personal, real-time and predictive building blocks of AI & ML for banks
Notable leaders based on IDC Financial Insights’ research and their respective use cases
Essential guidance from IDC to leading banks
Published By: IBM APAC
Published Date: May 14, 2019
IBM PowerAI Enterprise helps to make deep learning easier and faster for organizations by bringing together some of the most popular open source frameworks for deep learning, with development and management tools in a single installable package. Designed to simplify end-toend deep learning, PowerAI Enterprise allows enterprises to spend less time on data preparation, implementation and integration, and more time training neural networks for results. IBM PowerAI Enterprise version 1.1.2 includes the most popular deep learning frameworks in one installation:
- BVLC Caffe
- Keras (tensorflow-keras)
Published By: IBM APAC
Published Date: May 14, 2019
Machine Learning For Dummies, IBM Limited Edition, gives you insights into what machine learning is all about and how it can impact the way you can weaponize data to gain unimaginable insights. Your data is only as good as what you do with it and how you manage it. In this book, you discover types of machine learning techniques, models, and algorithms that can help achieve results for your company. This information helps both business and technical leaders learn how to apply machine learning to anticipate and predict the future.
You will find topics like:
- What is machine learning?
- Explaining the business imperative
- The key machine learning algorithms
- Skills for your data science team
- How businesses are using machine learning
- The future of machine learning
Published By: ServiceNow
Published Date: May 14, 2019
Learn how ServiceNow has been applying machine learning and analytics with AIOps to help you cut through event noise to create actionable signals, identify service outages and degradations, remediate service and infrastructure issues accurately, and drive continuous improvement in service quality
The performance of enterprise applications will have a direct impact on business activities and outcomes. The quality of the delivery of applications will depend on how smoothly the underlying data infrastructure operates.
? Optimal application performance and delivery is difficult to achieve in complex environments.
? Many IT infrastructure and operations teams are stretched to the breaking point.
? Predictive analytics and machine learning can be applied to great effect
As your organization’s finance leader, the opportunity to better understand the landscape and your business has never been greater. Advances in analytics—powered by digital technologies, such as automation and machine learning—give finance teams deeper business insights. Read the story.
What if your database could install, manage, secure, and upgrade itself—with little or no manual administration required? Now it’s possible, thanks to machine learning, artificial intelligence and the power of the cloud.
Discover how the Oracle Autonomous Database is:
• Self-driving: Tell it the service level you want to achieve, and it does the rest.
• Self-securing: It installs patches automatically and uses AI to counter threats.
• Self-repairing: It patches, scales, and tunes itself while your operations are running, to deliver 99.995% uptime.
Discover the power of autonomous data management. Download now.
Empowering 21st Century learning and teaching is a core value of
California’s Moreno Valley Unified School District (MVUSD), and its
Information Systems Technology Department believes delivering
on this mission requires technology to be seamlessly integrated
with the educational process.
The concept of artificial intelligence (AI) has been with us since the term was coined for the Dartmouth Summer Research Project on Artificial Intelligence in 1956. Today, while general AI strives for full cognitive abilities, there is a narrower scope—this better-defined AI is the domain of machine learning (ML) and other algorithm-driven solutions where cybersecurity has embraced AI. SANS recently conducted a survey of professionals working or active in cybersecurity, and involved with or interested in the use of AI for improving the security posture of their organization. Read their report to learn their survey findings, conclusions, and recommended considerations.
Hyperion Infographic: Cloud-based EPM solutions deliver greater agility and efficiency, at a lower cost—which is why hundreds of Hyperion customers are upgrading to Oracle EPM Cloud. New technologies are changing how finance operates… AI, machine learning, chatbots, process automation, and more. When you migrate to a cloud-based EPM solution, you can access these features and functionality to gain greater efficiencies and improve the quality of decision-making.
Download this white paper to find out how you could augment your fraud management with Decision Manager machine learning insights from more than 68 billion annually processed Visa and CyberSource transactions – matched with flexible rules-based fraud strategies.
• Detect fraud more accurately with robust data and insights on ever-changing fraud patterns
• Protect your bottom line by reducing fraud and chargebacks
• Increase acceptance rates with the only fraud solution that uses machine learning to generate and test new rules-based strategies from your historic data
Published By: DataCore
Published Date: Apr 23, 2019
The emphasis on fast flash technology concentrates much attention on hot, frequently accessed data. However, budget pressures preclude consuming such premium-priced capacity when the access frequency diminishes. Yet many organizations do just that, unable to migrate effectively to lower cost secondary storage on a regular basis.
In this white paper, explore:
• How the relative proportion of hot, warm, and cooler data changes over time
• New machine learning (ML) techniques that sense the cooling temperature of data throughout its half-life
• The role of artificial intelligence (AI) in migrating data to the most cost-effective tier.
Gartner predicts that the public cloud market will surpass USD 300 billion by 2021 . With the big players (Amazon, Google, Microsoft and IBM) taking home 63 percent of the market share , how will next wave CSPs stand out from the crowd?
Download Intel's latest whitepaper, Differentiating for Success: A Guide for Cloud Service Providers' to discover how to offer unique services, including:
- Providing workload-specific optimizations, for example machine learning or high-performance computing
- Targeting a particular geographical area
- Focusing on an industry, such as financial services
- Delivering emerging technology, such as virtual reality, in-memory databases, and containerization
Artificial intelligence (AI) leads the charge in the current
wave of digital transformation underway at many global
companies. Organizations large and small are actively
expanding their AI footprints as executives try to comprehend
more fully what AI is and how they can use it to capitalize
on business opportunities by gaining insight to the data
they collect that enables them to engage with customers
and hone a competitive edge. But, while AI may indeed be
the frontier of enterprise technology, there remain many
misconceptions about it.
Part of the confusion stems from the fact that AI is an
umbrella term that covers a range of technologies —
including machine learning, computer vision, natural language
processing, deep learning, and more — that are in various
stages of development and deployment. The use of AI for
dynamic pricing and targeted marketing has been in use for
a while, but actual AI computing where machines think like
humans is still many years from becoming mainstream. T
This year, businesses will increasingly turn to AI to power their business transformation. Machine learning and deep learning workloads are quickly becoming a mission-critical workload in the enterprise data center. As an IT leader, are you ready for the impending wave of AI applications that will demand new approaches to computing, storage and networking? Do you have the right strategy for scaling AI workload in your data center? We’ll introduce you to the IT visionaries who have made it happen. In this webinar we’ll explore how one IT leader accelerated his company’s success with an AI infrastructure strategy, sharing their best practices and insights.
By watching this webinar, you'll learn:
- Why it’s now critical for enterprise IT to have an AI infrastructure strategy that supports the business
- Explore one IT leader’s experience developing and implementing a best-of-breed platform for scaling AI workload in the data center
- Gain insights that can drive your AI infrastructur
There’s never been a more urgent need for comprehensive security and surveillance solutions. GeoVision Inc. has built its business on helping meet this need, providing digital and networked video surveillance solutions to customers in 110 countries. To succeed in its highly competitive and fast-changing industry, GeoVision must always be on the lookout for ways to give its customers leading-edge performance. Find out how GeoVision is working closely with Intel to maximize the performance of the hardware using the tools in Intel® System Studio, a comprehensive development tool suite to optimize the computer vision and deep learning workloads.
o The growing video surveillance market is driving demand for advanced video analysis technologies. Businesses and organizations from all vertical sectors are looking to leverage the benefits of enhanced detection accuracy and flexibility provided by deep learning to solve their security, safety, and operations challenges. Discover how Agent Vi’s innoVi* leverages cutting-edge deep learning technology to transform the hundreds, or even thousands, of cameras deployed across a city into smart video devices, contributing to the city’s ability to improve security, safety, and incident response citywide.
Emerging technologies and automation permeate every aspect of our work and lives today. The real opportunity of these technologies — which include artificial intelligence (AI), machine learning, the Internet of Things (IoT), and human interfaces — is to enable us to embrace innovation on a scale never seen before. These technologies help us reimagine what’s possible in work and in life - from self-driving cars and personalized medicine to precision agriculture and smart cities that are changing the way we experience our world. Autonomous opens a new world of opportunities for enterprises.
Autonomous Database for Dummies consists of five chapters that describe emerging technology trends and the business value of autonomous. Download this whitepaper to discover the business value of autonomous, Deploy a data warehouse in seconds and more!
Forward-thinking enterprises understand what it takes to be successful in this data-rich, increasingly automated economy. According to the Harvard Business Review Analytic Services research report The Rise of Intelligent Automation: TurningComplexity into Profit, sponsored by Oracle, at least 7 in 10 executives understand that predictive analytics (80%) and AI and machine learning (68%) are important for the future of the business.
Even as executives recognize the vital role data plays in their businesses, many are unable to take advantage of the value residing in their data. The old ways of collecting, managing, storing, and analyzing data are no longer effective, and are preventing businesses from extracting potential value. Many simply can’t execute on a data-driven vision.
Looking for a smarter way of financial planning and budgeting? An integrated financial planning tool makes the annual budgeting process more effective and efficient, and with one centralized source of truth it is always up-to-date. Learn how Unit4 Prevero can transform your budgeting and forecasting process: from integrating operational budgets, automating key processes, supporting multiple scenario simulations, through to using artificial intelligence and deep machine learning to improve accuracy of data and power your decision making.
Looking to improve accuracy of enterprise budgeting and financial planning? Just 1% of firms can forecast costs at 90% accuracy 30 days out. This white paper by BPM Partners and sponsored by Unit4 shows how Artificial Intelligence (AI) makes a real impact on budgeting, planning, and analysis, and when complemented with deep machine learning, gives greater accuracy to data, budget rules and budget drivers. Download now and learn how AI can help auto-tune your FP&A.