This paper explores why Financial institutions must consider rapidly transforming their business models. It looks at how new cognitive and digital models can lead to alternative revenue sources using marketplace banking strategies and cognitive technologies, as well as extensive cost efficiencies.
It is breathing life into our existing energy resources
and creating new opportunities.
Better use of data has visible, tangible and immediate results.
It is helping energy companies become safer, more reliable
and more efficient.
This is good for both our wallets and our planet.
For more information visit: www.ibm.com/energy
or watch our webinar here
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The discipline of data quality assurance ensures that data is "fit for purpose" in the context of existing business operations, analytics and emerging digital business scenarios. It covers much more than just technology. It includes program management, roles, organizational structures, use cases and processes (such as those for monitoring, reporting and remediating data quality issues). It is also linked to broader initiatives in the field of enterprise information management (EIM), including information governance and master data management (MDM)
IBM has established a global
readiness programme tasked with
identifying the key impacts of the
GDPR across IBM’s business and
preparing IBM’s internal processes
and commercial offerings for
compliance with the GDPR.
Digital transformation is poised to change the supply chain more
profoundly than any other functional area and more dramatically than at
any point in its history in terms of driving efficiency and resiliency to
disruption. In the context of the challenges facing supply chains, both now
and in the future, it becomes clear that the old ways of working will not
suffice and that even best-in-class performance today is unlikely to be good
enough in the future. It is the view of IDC that the supply chain must
become a "thinking" supply chain, one that is intimately connected to all
data sources, enabled with comprehensive and fast analytics, openly
collaborative through cloud-based commerce networks, conscious of
cyberthreats, and cognitively interwoven. According to IDC supply chain research, technology is emerging as a prime
driver of change, particularly artificial intelligence, blockchain, and the Internet of Things (IoT).
Supply chains are the lifeblood of a business,
impacting everything from the quality, delivery and
costs of an organization’s products and services, to
customer service and satisfaction, and ultimately
In this webinar, experts discuss how data and analytics can be applied to improve health program outcomes and how social determinants of health affect risk. It includes a case study on how the application of advanced analytic methods helped to decipher the impact of high-priced specialty drugs on the overall population. The experts also address how artificial intelligence can drive better decision-making, improve population health and cut costs.
We are renegades and realists who blend strategy,
technology and creativity to tackle every client
challenge. We imagine the businesses that will shape
tomorrow’s world and help our clients make them real.
We uncover insights from data that others can’t see
and deliver progressive ideas through the use of IBM
Design Thinking. We ground every strategy with a
focus on delivering the ultimate experience – for
customers, for employees, for shareholders.
Everything we do drives measurable impact at scale.
For more information, visit ibm.com/ibmix
Car-sharing, ride-sharing and ride-hailing aren’t
new. Uber and other personal mobility services
have redefined how people move from place to
place. And now these services are beginning to
redefine traditional car ownership itself. As people
move from one vehicle to another, their personal
information and preferences need to follow them,
so the car they use feels like their own. Blockchain is
defined as a shared, immutable ledger, and it can
address many of the challenges that new types of
personal mobility present.
In Forrester's evaluation of the emerging market for conversational computing platforms, we identified the seven most significant providers — Amazon, Google, IBM, Microsoft, Nuance Communications, Oracle, and Rulai — in the category and evaluated them. This report details our findings about how each vendor scored against nine criteria and where they stand in relation to each other. Application developers should use this review to select the right partners for their conversational computing platform needs.
Ponemon Institute is pleased to present The Value of Artificial Intelligence in Cybersecurity
sponsored by IBM Security. The purpose of this research is to understand trends in the use of
artificial intelligence and how to overcome barriers to full adoption.
While it might be desirable to standardize end users on one or two types
of devices that all run the same operating system, most organizations
don’t have that luxury. Today’s users demand an extraordinary level of
flexibility and convenience—which means most organizations support a
vast assortment of endpoints, including laptops and desktops (both PCs
and Macs), tablets and hybrid devices, smartphones, and even wearables
and IoT devices.
Today’s mobile landscape is very much a moving target. IT managers
must keep track of all types of devices and platforms, hundreds if not
thousands of applications and a threat landscape that changes by the
minute. In this ever-changing environment, IT staff often find themselves
drowning in mobile minutiae, overwhelmed by mountains of endpoint
data but unable to extract meaning from it or make business decisions
based on it.
The security information and event management (SIEM) market is defined by the customer's need to analyze event data in real time for the early detection of targeted attacks and data breaches, and to collect, store, analyze, investigate and report on event data for incident response, forensics and regulatory compliance. The vendors included in our Magic Quadrant analysis have products designed for this purpose, and they actively market and sell these technologies to the security buying center.
In our 30-criteria evaluation of security analytics platforms providers, we identified the 13 most significant ones — AlienVault, Exabeam, Fortinet, Gurucul, Huntsman Security, IBM, LogRhythm, McAfee, Micro Focus, Rapid7, RSA, Securonix, and Splunk — and researched, analyzed, and scored them. This report shows how each provider measures up and helps S&R professionals make the right choice.
Over the years, IBM Resilient customers have increased
their IR sophistication at various levels across a spectrum
of maturity. Maturity levels are often necessitated by industry,
available resources, or experience, but most IBM Resilient
customers continually look to evolve their IR function into
a more advanced phase.
Security leaders across all industries face mounting
challenges. Cyberattacks are continually growing in
volume, complexity, and sophistication, and incident
response (IR) teams are pushed to the limit of their time,
skill, and resources. Additionally, the average Security
Operation Center (SOC) uses more than 75 different
security tools – making full visibility nearly impossible
and integrating those tools challenging as well.
Businesses are struggling with numerous variables to determine what their stance should be
regarding artificial intelligence (AI) applications that deliver new insights using deep learning.
The business opportunities are exceptionally promising. Not acting could potentially be a
business disaster as competitors gain a wealth of previously unavailable data to grow their
customer base. Most organizations are aware of the challenge, and their lines of business
(LOBs), IT staff, data scientists, and developers are working to define an AI strategy.
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly
every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile,
social business, cloud, and big data analytics as the pillars. In this new environment, business leaders
are facing the challenge of lifting their organization to new levels of competitive capability, that of
digital transformation — leveraging digital technologies together with organizational, operational, and
business model innovation to develop new growth strategies. One such challenge is helping the
business efficiently reap value from big data and avoid being taken out by a competitor or disruptor
that figures out new opportunities from big data analytics before the business does.
IBM LinuxONE™ is an enterprise Linux server
engineered to deliver cloud services that are
secure, fast and instantly scalable. The newest
member of the family, IBM LinuxONE
Emperor™ II, is designed for businesses where
the following may be required:
• protecting sensitive transactions and
minimizing business risk
• accelerating the movement of data,
even with the largest databases
• growing users and transactions instantly
while maintaining operational excellence
• accessing an open pla
A technology-enabled business strategy such as digital transformation (DX) makes it possible for firms to
expand their competitive differentiation in the market. Although disruptive, DX requires firms to effectively
and efficiently combine (technology) platforms, (business) processes, (data) governance, and (people)
talent to gather deep and timely insights from data and actuate these insights to optimize business
operations, develop new and innovative products and services, and transform customer engagement.
There’s some banter about IBM Power Systems not being optimized to
run Oracle software. That simply isn’t true. In fact, IBM has engineers
on-site at Oracle working side-by-side with them to enable, optimize,
certify, and continually deliver solutions to our tens of thousands of
Cloud has evolved from a technological innovation to an integral part of business. Companies in
every industry are investing in Digital Transformation initiatives to evolve and grow; often, cloudbased platforms are foundational elements of these transformations, as businesses increasingly seek the
flexibility and agility to roll out new software services in days or weeks, versus months or years.