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IBM Watson® Discovery - an intelligent document processing engine

01.08.2023 | Ewa Suszek
IBM Watson® Discovery is an intelligent document processing engine that helps you to gain insights from complex business documents. Use Discovery to visually train AI for deep understanding of your content, including tables and images, to help you find business value that is hidden in your enterprise data. Use natural language or structured queries to find relevant answers, surface insights, and build AI-enhanced business processes anywhere.

Dynatrace Grail: Data Lakehouse for observability, security analysis and automation

13.05.2023 | Ewa Suszek
In the previous post, we briefly mentioned the “Grail – data lakehouse” solution, which is Dynatrace’s response to data challenges such as: their rapid growth, building data logic, automating the process of data collection, analysis and security, or ensuring BIZDEVSECOPS in the “as a code” model. Below, we will introduce the topic in a bit more detail.

Dynatrace – PERFORM 2023 conference

16.03.2023 | Ewa Suszek
In February 2023, the annual Dynatrace conference was held in Las Vegas.From the point of view of observability, the following trends have been identified: a) Migration to the cloud opens up undeniable opportunities; b) There has been an explosion of data and this process will continue to deepen. It is increasingly difficult to manage, though; c) Optimization of activity in the cloud becomes a need and a challenge; d) Observability – from an option – turns into a necessity; e) Organizations need comprehensive, not point-by-point, observability.

Data Management – The latest trends and challenges

28.02.2023 | Ewa Suszek
Data Management, Data Governance, like any other process and every component of the reality that surrounds us, is subject to changes and challenges, conditioned by both external and internal sources. It is not uncommon, for example, that a trend indicated some time ago, considered a leading or a key one, quickly loses its original attractiveness and becomes a kind of "empty shell", giving way to other solutions, better suited to the current situation. And vice versa – a phenomenon or a tendency previously overlooked, suddenly turns out to be a new, vital element of the whole picture, shaping its current face. So what is the current situation on the Data Governance market (the basis for the analysis will be the material by Robert Rudnicki (GE Bank), presented at the CDO Club meeting in December 2022)?

"Blackbox attack surface discovery" technology - in everyday's data protection and corporate security

10.02.2023 | Ewa Suszek
Nowadays, security of systems and applications is crucial for every organization. Hackers use increasingly advanced technologies and use various techniques to detect security holes in systems and applications. That’s why it is important to have tools that allow for effective detection and protection against potential threats. One type of such tools are those based on the "blackbox attack surface discovery" technology. They are used to detect and identify potential attack points in IT systems whose internal structure and operation are unknown.

The Role of Service Level Objectives (SLOs) in Site Relability Engineering (SRE)

05.01.2023 | Ewa Suszek
Reliability engineering (SRE) starts to play recently an increasingly important role. As companies turn to cloud automation and digital transformation to streamline business operations, reliability engineering (SRE) has begun to take center stage. Successful SRE is a team effort. In much the same way that quarterbacks need fullbacks and wingers to win football games, reliability engineers need service level objectives (SLOs) to measure, manage and monitor the results they want. What does it look like in practice? What steps are crucial for SRE to ensure objective success with SLO?

APM (Application Performance Platform) and SRE (Site Reliability Engineering)

12.12.2022 | Ewa Suszek
APM (Application Performance Platform) and SRE (Site Reliability Engineering) - Dynatrace as a leading APM solution with an buil-in support for service reliability methodology. Dynatrace has built-in support for service reliability methodology. The concept of Site Reliability Engineering (SRE) was highlighted by Google for the first time in 2003. It is an agile-like approach centered around reliability engineering, and any SRE team's key role is to determine system performance and to work systematically in order to improve it.

MLOPs - democratization and automation in data and data models management, part II

27.04.2022 | Ewa Suszek
Today, most companies identify data management as a very important part of their data strategy, but most often it happens, just because poor data management is risky. However, it is worth going a step further. To improve the approach to data use and management, these processes need to be democratized and automated. This may require an organizational change, but in the long term there is no alternative to it.

Data management in the world of Machine Learning, part I

11.04.2022 | Ewa Suszek
Today, we have the opportunity to improve and optimize virtually any process in any sector of our economy – based on data, on an unprecedented scale. Collecting, analyzing, identifying trends or correlations, warning, learning - these processes and tasks can be carried out at low cost compared to what was available over a decade ago.

Shanghai Data Exchange (SDE), the world's first data trading exchange

16.03.2022 | Ewa Suszek
We have already talked and wrote about the fact that data being „the new oil”, however it is an issue that we will touch upon more than once. One of the evidences that data is the most valuable commodity of the 21st century is the data trading exchange, recently established in China.

Latest trends in Data Governance and Data Quality

02.02.2022 | Ewa Suszek
Latest studies by the Business Analyses Center LeBow (Drexel University) and Precisely – lider of the Data Integrity market – shed some light on how the data management programs directly influence the data quality. Two third of the organisations subject to studies report the improvement of their data quality as the „main benefit”.

Chief Digital Officer vs Chief Data Officer

22.11.2021 | Ewa Suszek
Recently I was asked for a comment to an interesting discussion about the posts and roles of Chief Digital Officer and Chief Data Officer, which took place during the CDO Club discussing pannel. Here, I would like to elaborate on some comments, that turned up during this meeting – says Ireneusz Suszek, the AZ Frame’s Chief Sales Officer.

Data management - data cleansing

30.07.2021 | Ewa Suszek
Next stage of Data Management is Data Cleansing. Depending on the process design, the data may be corrected in their sources, in dedicated database structures, in the files of in the reports.

Data management - profiling part II

21.07.2021 | Ewa Suszek
A stage that allows for checking the data in a given source. It consists of connecting with the data source, taking a sample of data (the number of records can be pre-defined, e.g. 200 000), and generating reports linked to the source data. Thanks to profiling we get to know a precise data distribution, but we may also find the exceptions to the rules etc. to identify the rules for cleansing the data.

Data management - data profiling

20.07.2021 | Ewa Suszek
After cataloguing the data sources, for each of them the key data should be defined. Key information will be determined by the function of their own environment. E.g., for MS Excel it will be the xls sheets; for the relations data bases – tables; for the www websites – html files, etc. The loss of the sources and the key data included there may also comprise the PDF files, and – as such – act as a mainstay for further works.

Data management - data verification

16.07.2021 | Ewa Suszek
Data verification vs. Data discovery This stage involves physically connecting with the data sources, discovering data models and verifying the data types, which are stored in the columns. Here we can identify: - searching the proper sets of data, - defining the semantics per model.

Data management - cataloging and modelling

15.07.2021 | Ewa Suszek
Data is the basis of business information that allows you to take the right action and achieve maximum benefits. Data management is a complex process of collecting, storing and using data in such a way that it is completely secure and helps in its optimal use. According to Precisely, Data Management is realised in six categories: 1) cataloguing and modelling, 2) data verification, 3) profiling, 4) cleansing, 5) mastering, 6) operationalizing. In today's post, we will discuss the first of them.

Significance of data

14.07.2021 | Ewa Suszek
Only in 2019 global data creation reached the level of 41 zetabytes (zetabyte = 1021). The amount of data produced is currently doubling every three years. The whole world is flooded with data and the global trends are reflected by the amount of data produced by every single company and institution.

3 Ways to Make Digital Experience Management More Human

08.07.2021 | Ewa Suszek
When we think about digital experience management from an IT perspective, we traditionally look at metrics derived from monitoring endpoints, systems or applications. In reality, digital experience management is becoming much more about knowing your people. While low-level telemetry might solve a user’s immediate problem, the bigger story around the human experience with technology is largely missing from typical IT metrics on speeds and feeds. As an industry, we need to think bigger about the human experience, and elevate our approach to digital experience management to focus more on the people we’re serving. Here’s how.

Look at the individual vs. the aggregate

24.06.2021 | Tomasz Karbownik
Our industry is used to reporting on data in aggregate, which is helpful, yet misses some of the finer-grained detail about your users – whether they’re employees or customers. The problem with this approach is that overall metrics may look positive or neutral, while there are a subset of users who are having a terrible experience. These people may be so troubled by their experience that they decide to leave the company or buy a competitive product. If we can disaggregate that data, we can pinpoint which users are having problems and be more effective at solving them.

Work from Home: Ultimate Guide to Working from Home & Managing Work from Home Employees

21.06.2021 | Ewa Suszek
Working from home represents a highly flexible, yet complex and tricky new avenue for businesses to brave and employees to navigate. In this post, we’ll discuss how you can approach both working from home and managing remote employees more effectively.

The Unsung Importance of Devices Health in Remote Work

11.01.2021 | Kinga Multańska
As the global pandemic continues, it has become increasingly clear that companies across every industry are planning the "next normal" of their workplace with a much longer-term view.

Data Management Predictions from 12 Experts for 2021

20.12.2020 | Kinga Multańska
We polled 12 experts and received 17 data management predictions for 2021.

Story of your Data

10.12.2020 | Kinga Multańska
Every Marathon Runner Has a Story – And So Does Your Data. At least once a year I sit down to watch one of the many televised marathons that happen in cities all around the world.

5 Key Takeaways from Riverbed’s Conference Riverbed

27.11.2020 | Kinga Multańska
The Riverbed Global User Conference theme “Maximizing Performance and Visibility for Any User, Network, App, Anywhere” couldn’t have been more timely given the impact the recent pandemic has had on organizations of every kind.

Accelerating the transition to digital technologies among CX leaders - report.

05.11.2020 | Kinga Multańska
Precisely, the global leader in data integrity, today released the findings of a report commissioned with market intelligence firm Corinium that examines the significant changes that customer experience (CX) leaders must make as a result of COVID-19, and the acceleration of data-driven technologies shaping the future of CX in the post-pandemic world.

Would you quit your job if remote working was no longer supported after the pandemic

03.11.2020 | Kinga Multańska
Would you quit your job if remote working was no longer supported after the pandemic?

Aternity and Juriba Partner to Drive Digital Transformation Success

30.10.2020 | Kinga Multańska
Aternity®, the enterprise-class Digital Experience Management Company™, announced today that it is partnering with Juriba, a leader in Enterprise IT migration software to improve the digital transformation experience for the enterprise.
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