While interest in Machine Learning/Artificial Intelligence/ (ML/AI) has never been higher, the number of companies deploying it is only a subset, and successful implementations a smaller proportion still. The problem isn’t the technology; that part is working great. But the mere presence and provision of tools, algorithms, and frameworks aren’t enough. What’s missing is the attitude, appreciation, and approach necessary to drive adoption and working solutions.
To learn more, join us for this free 1-hour webinar from GigaOm Research. The webinar features GigaOm analyst Andrew Brust and panelists Jen Stirrup, Lillian Pierson, and special guest from Cloudera Fast Forward Labs, Alice Albrecht. Our panel members are seasoned veterans in the database and analytics consulting world, each with a track record of successful implementations. They’ll explain how to go beyond the fascination phase of new technology towards the battened down methodologies necessary to build bulletproof solutions th
More data means more opportunities to discover powerful, actionable insights around customers, internal processes, and the broad market. Unfortunately, legacy IT architectures and approaches can block progressive analytics efforts.
That leaves a lot of room for improvement, and the learning and investment curve for starting in analytics can be steep. However, tending to three core steps will prove immensely helpful on this journey:
• Establishing an organizational foundation
• Mapping the data pipeline
• Transitioning analytics proofs of concept into production
The modern desktop:
Always-on collaboration on every device
Today’s workforce is radically changing. Fewer employees are working in traditional office spaces
and the number of remote employees has grown exponentially. Everyone is on the same team yet how
they all interact and collaborate has been fundamentally altered. The future success of enterprises
requires an all-encompassing digital transformation.
Creating a seamlessly-connected IT platform with Citrix
Workspace and Microsoft Teams gives employees access to
the productivity, communication, and collaboration tools they
love, helping them excel at their job. Onsite, remote, or
on-the-go, they can interact from any location using any
device with all corporate data stored securely
in the cloud. Plus, IT administrators will love Citrix
automated workflows, real-time analytics, and ability
to centrally manage and control corporate data
We’ve heard it before. A data warehouse is a place for formally-structured, highly-curated data, accommodating recurring business analyses, whereas data lakes are places for “raw” data, serving analytic workloads, experimental in nature. Since both conventional and experimental analysis is important in this data-driven era, we’re left with separate repositories, siloed data, and bifurcated skill sets.
Or are we? In fact, less structured data can go into your warehouse, and since today’s data warehouses can leverage the same distributed file systems and cloud storage layers that host data lakes, the warehouse/lake distinction’s very premise is rapidly diminishing. In reality, business drivers and business outcomes demand that we abandon the false dichotomy and unify our data, our governance, our analysis, and our technology teams.
Want to get this right? Then join us for a free 1-hour webinar from GigaOm Research. The webinar features GigaOm analyst Andrew Brust and special guest, Dav
"Como vamos usar todos os dados da rede inteligente?"
Produtores, distribuidores e consumidores de eletricidade em quase todos os países desenvolvidos estão se perguntando isso. Os dados gerados por medidores inteligentes, os dispositivos conectados, os geradores de energia, barragens hidrelétricas, fazendas solares e consumidores cada vez mais sofisticados têm o potencial de melhorar consideravelmente a confiabilidade da geração, gerenciamento, armazenamento e da distribuição de energia.
A análise avançada pode ajudar a alcançar todo esse potencial. Mas, como? Ela desempenha um papel importante nas empresas de serviços que buscam transformar dados em dinheiro, por meio da análise das informações acumuladas para melhorar a gestão da demanda, a alocação de ativos e de pessoal, a previsão de demanda e a manutenção preditiva e preventiva. De fato, a análise está alimentando essa transformação do setor.
“¿Cómo utilizaremos todos los datos de la red inteligente?”
Los productores, distribuidores y consumidores de electricidad de casi todos los países desarrollados se están haciendo esa pregunta. Los datos producidos por los medidores inteligentes, los dispositivos conectados, los generadores de energía, las presas hidroeléctricas, las granjas solares y los consumidores más sofisticados, tiene el potencial de mejorar considerablemente la confiabilidad de la generación, gestión, almacenamiento y distribución de electricidad.
La analítica avanzada puede ayudar a alcanzar todo ese potencial. Pero, ¿cómo? Tiene un papel de gran relevancia en las empresas de servicios que buscan convertir los datos en dinero mediante el análisis de la información acumulada para mejorar la gestión en el lado de la demanda, la asignación de recursos y de personal, pronosticar la demanda y el mantenimiento preventivo. De hecho, la analítica está impulsando esta transformación de la industria.
Discover how to revolutionize processing performance, data intelligence, customer experiences, and GRC.
The future of financial services will belong to those who can capture and capitalize on data. And it all begins with employing modern data strategies in four critical areas.
You’ll learn how to:
Leverage AI, machine learning and predictive analytics.
Get scalable, high-speed access to vast amounts of data.
Respond faster, become more competitive, and attract new customers.
The following guide looks at 6 characteristics that define today’s most compelling commerce environments, and how the right mix of adaptive, intelligent solutions can optimize performance and ultimately be your most intelligent associate, 24 hours a day, 7 days a week, anywhere in the world.
Amp Up the Power of Commerce with AI and Analytics
Bring the Customer Journey Full Circle
Tap into Heightened Data Security and Privacy in the Cloud
Published By: Corrigo
Published Date: Sep 12, 2019
We’re living in a new era defined by data, analytics, and intelligence. It can sound overwhelming, but once you understand how to make all this information work for you, it becomes really exciting.
The Intelligence Economy has already changed our day-to-day lives, and it’s revolutionizing the world of facilities management. The best FMs don’t just understand this change – they embrace it.
With a better handle on intelligence, you will see immediate results. From warranty enforcement to asset repair vs. replacement decisions, Corrigo’s collective intelligence can improve your bottom line and make you better at your job.
Read on to learn how Corrigo makes the Intelligence Economy work for you.
Siteimprove transforms the way organizations manage and deliver their digital presence. With the Siteimprove Intelligence Platform, you gain complete visibility and deep insights into what matters, empowering you and your team to outperform the status quo with certainty every day.
In this digital age, maintaining high-quality content—all while measuring website success and delivering a superior user experience—can no longer be accomplished manually.
The Siteimprove Intelligence Platform unlocks new insights into your content and analytics data to let you focus your efforts where they belong.
Organizations are charging ahead with investments in cloud and analytics to deliver agility, scalability and cost savings. With computing power advancements and continuous growth of data, cloud provides the elastic workloads and flexibility required for modern business. However, the environment of flexibility and choice that cloud provides also creates complexity and challenges.
In this white paper, learn how organizations are applying expertise and using the latest methods to move analytics to the cloud, including:
• Why are organizations moving analytic work to the cloud?
• What are the key challenges and misconceptions?
• How do IT leaders provide choice while maintaining control?
Envision this situation at a growing bank. Its competitive landscape demands an agile
response to evolving customer needs. Fortunately, analytically minded professionals in
different divisions are seeing results that positively affect the bottom line.
• A data scientist in the business development team analyzes data to create customized
• experiences for premium customers.
• A digital marketer tracks and influences the customer journey for prospective
• mortgage customers.
• A risk analyst builds risk models for the bank’s loan portfolios.
• A data analyst examines data about local customers.
• A technical architect defines a new system to protect bank data from internal and
• external cyberthreats.
• An application developer builds a new mobile app for online customer portfolio
Between them, these employees might be using more than a dozen packages for
analytics and data management.
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
In the last few years we have seen a rapid evolution of data. The need to embrace the growing volume, velocity and variety of data from new technologies such as Artificial Intelligence (AI) and Internet of Things (IoT) has been accelerated.
The ability to explore, store, and manage your data and therefore drive new levels of analytics and decision-making can make the difference between being an industry leader and being left behind by the competition. The solution you choose must be able to:
• Harness exponential data growth as well as semistructured and unstructured data
• Aggregate disparate data across your organization, whether on-premises or in the cloud
• Support the analytics needs of your data scientists, line of business owners and developers
• Minimize difficulties in developing and deploying even the most advanced analytics workloads
• Provide the flexibility and elasticity of a cloud option but be housed in your data center for optimal security and compliance
Published By: Marketo
Published Date: Sep 03, 2019
How much additional profit will a 10% increase in your marketing budget generate?
44% of qualified marketers have NO idea.
If you fit into the 44% above, justifying your budget will be a serious challenge, as will asking for an increase. In fact, you'll likely find yourself asking the question the other way around: What will happen if my marketing budget gets cut by 10%? You can't expect your organization to place value on something you're unable to quantify.
Our Definitive Guide to Marketing Metrics will help you do just that. You'll learn about:
How Measurement Builds Respect and Accountability
Planning for Marketing ROI
A Framework for Measurement
Marketing Performance Measurement
The Art of Forecasting
Implementation: Team, Tactics, Technology
Download the comprehensive 88-page guide and start taking your marketing to the next level.
The digital era is changing the way that organizations think about, protect, and monetize data. Now more than ever they are pushing to be digitally-driven, and to achieve this they must be data-driven.
Data powers everything in modern organizations; analytics, digital experiences, IoT, and artificial intelligence are notable examples. All are essential to organizations that want to succeed in a digitally transformed world, but they simply cannot function without data. This is driving the shift from data as a static digital asset to data as a strategic business asset.
The digital era has ushered in a proliferation of data that powers modern businesses. When leveraged properly, organizations are seeing the potential of data to drive better outcomes across all aspects of their business. Using data to support different workflows, analytics, and activities transforms it into data capital — a digital asset that will drive value for the business. The extent to which an enterprise aligns its organization around this data capital mindset — in both the way they use data and the way they invest in data technology — can have lasting impacts on the success of the business.
In February 2019, Dell EMC and Intel commissioned Forrester Consulting to evaluate whether the ability to harness and apply data and analytics at every opportunity is fast becoming a prerequisite for success. To test this, Forrester conducted a global survey of 516 IT decision makers. The survey found that companies with more mature data capital practices — leveraging more data types, managin
Published By: Gigamon
Published Date: Sep 03, 2019
The IT pendulum is swinging to distributed computing environments, network perimeters are dissolving, and
compute is being distributed across various parts of organizations’ infrastructure—including, at times, their extended
ecosystem. As a result, organizations need to ensure the appropriate levels of visibility and security at these remote
locations, without dramatically increasing staff or tools. They need to invest in solutions that can scale to provide
increased coverage and visibility, but that also ensure efficient use of resources. By implementing a common
distributed data services layer as part of a comprehensive security operations and analytics platform architecture
(SOAPA) and network operations architecture, organizations can reduce costs, mitigate risks, and improve operational
"We live and surf in a cyber world where attacks like APT, DDOS, Trojans and Ransomware are common and easy to execute. Domain names are an integral part of any business today and apparently an integral part of an attacker's plan too.
Domain names are carriers of malwares, they act as Command and Control servers and malware's ex-filtrate data too. In today's threat landscape - predicting threats, spotting threats and mitigating them is super crucial.. This is called Visibility and Analytics.
Watch this on demand session with our Cisco cloud security experts Shyam Ramaswamy and Fernando Ferrari as they talk about how Cisco Umbrella and The Umbrella Research team detect anomalies, block threats and identify compromised hosts. The experts also discuss how effectively Cisco spot, react, filter out IOC, block the network communications of a malware; identify and stop a phishing campaign (unknown ones too).
Published By: FICO EMEA
Published Date: Aug 30, 2019
Telecommunications companies lost more than $29 billion to consumer fraud in 2017 globally (1.27% of their revenues). The largest and most advanced communications service providers (CSPs) have sophisticated fraud detection systems and processes in place, but those organizations are now questioning their fraud readiness. Are they doing enough? Fraudsters may be individuals or increasingly sophisticated criminal networks. They constantly develop new methods and target new lines of business
Read this interview where Anat Hoida, Head of the FICO’s Telecom Practice in Europe, Middle East, and Africa, discusses the impacts of the evolving spectrum of fraud risks on the growth and competitiveness of CSPs globally.
Over the last decade, the enterprise analytics landscape has dramatically
transformed. Vendors have come and gone, and platforms have
continually expanded their offerings to include new functionality and
keep pace with the demands of the businesses they serve. Originally
envisioned as an IT-centric tool for enterprise reporting, analytics today
has evolved into a business solution—empowering a range of users
across every line of business, including front-line employees, field
personnel, and executives.
The rise of self-service analytics over the past decade has played a key role in promoting a data-driven mindset
within every business function. However, this practice is limited to a skilled few. The vast majority of business
professionals lack the time, analytical skills, or inclination to conduct their own analyses, and fail to effectively use
analytics on a day-to-day basis. The result? Despite decades of investments, BI adoption at most organizations
remains at 30%.
The failure of e
Today, despite massive investments in data, IT infrastructure,
and analytics software, the adoption of analytics continues to lag
behind. In fact, according to Gartner, most organizations fail to hit
the 30% mark. That means that more than 70% of people at most
organizations are going without access to the critical information
they need to perform to the best of their abilities.
What’s stopping organizations from breaking through the 30%
barrier and driving the pervasive adoption of intelligence? Simple.
The majority of existing tools only cater to users who are naturally
analytically inclined—the analysts, data scientists, and architects
of the world. The other 70%—the people making the operational
decisions daily within a business—simply lack the time, skill, or
desire to seek out data and intelligence on their own.
HyperIntelligence helps organizations operationalize their
existing investments and arm everyone across the organization
with intelligence. Whether
THe use of analytics has exploded across business, and the value it already has delivered has heightened executives' expectations. Now data can be processed in real time to meet a constantly widening range of analytic needs. How your organization utilizes them in the next decade will be essential to your success.
Data and analytics are the key accelerants of digitalization, transformation and “ContinuousNext” efforts. As a result, data and analytics leaders will be counted upon to affect corporate strategy and value, change management, business ethics, and execution performance.
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products.
Watch this webinar to learn how TIBCO’s Smart Manufacturing solutions can help you overcome these challenges. You will also see a demonstration of TIBCO technology in action around improving yield and optimizing processes while also saving costs.
What You Will Learn:
Applying advanced analytics & machine learning / AI techniques to optimize complex manufacturing processes
How multi-variate statistical process control can help to detect deviations from a baseline
How to monitor in real time the OEE and produce a 360 view of your factory
The webinar also highlights customer case studies from our clients who have already successfully implemented process optimization models.