How to build employee careers through an internal talent marketplace
One of the biggest hurdles to the success of an internal talent marketplace is
the reluctance that people managers show when it comes to letting talent go.
This is especially true for top talent and individuals they believe to be
critical to their success. To overcome this challenge, managers need to be
coached to recognize how employing this concept is, in fact, beneficial for the
organisation on the whole. Before implementing any such initiative, it is
necessary for managers to understand the long-term purpose that an internal
marketplace will help serve and how retaining top talent in a different role
within the organisation is far more favourable than having them leave the
organisation. ... It is also the organisation's responsibility to ensure that
its employees are provided relevant learning opportunities. The keyword is
relevant. Using the information gleaned from regular discussions and performance
assessments, managers will be in a strong position to create learning/training
initiatives that are aligned with individual and organisational goals. This will
provide employees with the necessary impetus to upskill themselves before they
apply for any other internal opportunities.
What it Really Takes to Transition from Entrepreneur to CEO
Once you realize you need others to succeed, there's a key step to take next:
disconnect emotionally from the business. Of course, you still must care deeply
about the business; you just need to realize you and the business are no longer
one. This whole idea might sound counterintuitive, but it's important. After
all, with most entrepreneurs, your business is an enormous part of your
identity. But as you begin to embrace the CEO role, you have to start sharing
the business with others for it to grow. Sometimes this is literal — in terms of
equity that gets distributed — while other times, it's sharing things like
responsibility and key decisions. ... But while the CEO sets the vision, yours
is no longer the only one, as it likely was when you were a solitary business
owner. As you build a team of strong leaders around you, each of those
individuals will have their own opinions about where the company should be
headed. The CEO's role is to align your team around a shared purpose, values and
mission, but all of you must create this together.
The Business Case For Federated Data Governance & Access Control
Recent MIT-CISR research from Stephanie Woerner and others shows that 51% of
enterprises are to this day, locked in silos, and 21% have a morass of tech
debt stitching their companies together. Ross and her co-authors describe a
situation where “80% of the company’s programming code (was) dedicated to
linking disparate systems as opposed to creating new capabilities.” Scenarios
like this are unfortunately common and lead to business architectures that
aren’t agile, nor do they have the resources or capabilities that enable
digital transformation. ... So, is there a better approach? Simply put, yes,
but first I want to suggest that we need to consider data governance and
access control as a system of systems. This means moving to what Gartner calls
‘Federated Data Governance’ – universal controls are applied to data by
establishing a system of policies and controls. For example, in the case of
the finance department, when controlling data around the end of the quarter or
specific timeframe is important, localized controls should and can be put in
place.
Credential Hacking: The Dark Side of Artificial Intelligence
If we take a step back to design a layered defense approach, robust strong
authentication is just one part of the holistic cybersecurity approach. For an
entire security architecture to work effectively, zero trust must be
integrated into the whole equation. To that end, there are two additional
aspects—attestation and assumed breach—beyond simply authentication. AI helps
in both these areas. In this new cybersecurity normal, breaches are
inevitable. This widely accepted truth also means that it is not so much a
matter of getting breached as it is a matter of having a rapid detection,
containment and recovery so that significant business impact is not felt and
cyber resilience is sustained after a breach. Assumed breach requires the
continual upkeeping and ingestion of cyber threat intelligence so that new
IoCs (Indicators of Compromise) and TTPs (Tactics, Techniques and Procedures)
can be utilized to update the protective and detective measures to limit the
blast radius of any successful attacks and to detect early for prompt
containment.
How the IoT Is Integral to Automated Material Handling
IoT data often goes into cloud-based systems for easier access later. A leader
might use such an interface to determine how many more parcels their company
shipped after implementing automated material handling. They could also use
IoT information to determine whether automation reduced injuries, product
damage or other undesirable outcomes. Sometimes, IoT data can automatically
correct a system’s processes for better results. Such was the case with one
that used a predictive process adjustment module for automated storage and
retrieval. ... If the IoT sensors picked up on something abnormal, the machine
would make the necessary changes without human input. This technology is
especially convenient for facilities that must meet high output goals and may
not have large numbers of on-site team members to correct problems. Any
automated material handling strategy should ideally include metrics people
choose and follow before, during and after implementation. The IoT can aid
people in selecting and monitoring appropriate statistics, thus providing
insights into whether things are going well or if people should make
adjustments to get optimal results.
Creating A Cybersecurity Disaster Recovery Plan
A chain is only as strong as its weakest link, and human error is still one of
the leading causes of security incidents. According to the latest research,
82% of cybersecurity breaches are caused by human error, meaning cybersecurity
education can eliminate all but the most complex threats. The overwhelming
majority of people have good intentions, and so do most employees. However,
some still don’t understand that “1234” isn’t a good password or that a
Nigerian prince promising them a large sum of money is suspicious. To stay
ahead of sloppy password use, organizations should mandate and enforce the use
of strong passwords. Typically, a strong password is at least 8-12 characters
long and includes a mix of uppercase and lowercase letters, numbers, and
special characters. Employees must also regularly update passwords and refrain
from using them across different accounts or services. Passwords must also
avoid using common words, phrases, or personal information. Additionally,
train employees to identify and report suspicious activities.
Business automation intensifies as data governance returns
The research indicates 2023 to be the year of automation, from the use of
super-hyped generative artificial intelligence (AI) technologies such as
ChatGPT to more traditional business and IT automation. Organisations in the
EMEA region are planning to increase their use of automation more than North
America and Asia-Pacific, according to the research. But in terms of a
specific area of business applications, customer experience is well to the
fore of investment projects. Some 43% said they will invest in customer
experience software spanning marketing, sales and contact centre management.
Stephanie Corby, practice director at TechTarget’s analyst division,
Enterprise Strategy Group, says: “CX is a top business driver for enterprise
organisations ... but the reality is that most organisations are still in the
early stages of CX maturity and strategy. The complexity of CX technology
stacks has created integration and adoption challenges that will inevitably
drive conversion to platforms.”
Modern Data Management Platforms Are Vital For Solving Modern Data Management Problems
With the growing importance of data, it has also become essential to integrate
data security and data protection into the broader security ecosystem for
increased insight and responsiveness. The evolving nature of cyber threats
makes a proactive approach essential, and Security Information and Event
Management (SIEM) systems must be connected to easily feed alerts, events, and
audit data to other platforms. This gives security teams greater visibility
into anomalies and threats, improving responsiveness and mitigating risk.
Ongoing global economic instability means that across industries, businesses
need to improve cost efficiency and optimise budgets. Data can easily become a
major cost centre for businesses, and yet there needs to be increased spend
around security, especially for mission-critical areas. Intelligent
technologies can help businesses reduce the time it takes to protect
applications by improving efficiency of backups and scans, which is a quick
and easy way of reducing costs.
Is the Big Data Lake Era Fading?
Data lakes undoubtedly offer benefits over the previous, more traditional
approach of handling data, like ERP and CRM softwares. While the previous
approach is more like small, self-owned, self-operated stores, data lakes can
be compared to Walmart, where all the data can be found in a single place.
However, as the technology matures, enterprises are finding that this approach
also comes with its set of drawbacks. Without proper management, large data
lakes can quickly become data swamps — unmanageable pools of dirty data. In
fact, there are 3 paradigms in which data lakes can fall apart, namely
complexity, data quality, and security. Flexibility is one of the biggest pros
of maintaining a data lake, as they are large dumps of raw data in their
native format. This data is also not stored in a hierarchical structure,
instead using a flat architecture to store data. However, with this
flexibility also comes with added complexity, meaning that talented data
scientists and engineers need to trawl through this data to derive value out
of it. This cannot be done without specialised talent to maintain and operate
it.
How to Navigate Structured and Unstructured Data as a Healthcare Organization
Unstructured data is immensely valuable to healthcare. “If you approach it
from a high level, clinical notes are a glimpse into the physician’s brain,”
says Brian Laberge, solution engineer at software and solutions provider
Wolters Kluwer. In addition, written notes often capture the severity of a
patient’s health condition or nuanced nonclinical social needs far better than
highly structured diagnostic codes, he adds. Clinical and administrative staff
can easily parse free text for relevant information, such as a diagnosis or a
treatment recommendation. The difficulty stems from what comes next. ...
Patient-generated health data comes with its own set of concerns. While it may
be available in real time from sources such as monitoring devices or digital
therapeutics applications — and it may be structured in its own right — most
of it is only transferrable into EHRs as unstructured summary reports, notes
Natalie Schibell, vice president and principal analyst at Forrester. (The same
is true of visit summaries that come from urgent care, retail health or
telehealth providers not affiliated with a health system.)
Quote for the day:
"Making good decisions is a crucial
skill at every level." -- Peter Drucker
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