Why Technology Alone Is Not Enough: Part 2

Previously, I focused on trust as the basis for everything we do. In this second part, I would like to discuss the topics of ethics and purpose.

Digital Ethics: The “How”

In the digital age, the topic of ethics is arguably now more relevant and important than ever before. It is a subject that throws up many questions that are often very difficult to answer. Certainly, no one person has the solution to the most fundamental ethical challenges that come with, for example, technological trends such as artificial intelligence (AI).

Ethics and Technological Change

The topic of autonomous driving is one of the most obvious and discussed examples of this. Here we run into potentially unsolvable ethical dilemmas, such as the well-known “trolley problem”. This is the reason why autonomous cars, for example, should not be empowered to make such decisions based on individual attributes of the potential victims.

In the business world, there are many AI-related questions that also include ethical aspects which – while not a matter of life and death – are nevertheless important and need to be addressed.

Ethics in the context of technological change involves finding and redefining behavioral standards for new kinds of interaction. It is not only about adapting to, but also shaping, new standards. These standards could be for a technology itself or an ecosystem. Companies can no longer drive disruptive innovation on their own. The more individuals and companies team up, the more diverse the ecosystem is.

What holds partners together are the mutual benefits they gain from working together, and this is also the mechanism through which we can embrace a common ethical understanding of how to collaborate. Viewing every stakeholder as a partner within a wider ecosystem helps me to view questions and challenges from a different perspective, be it in conversations with colleagues, customers, or “traditional” partners.

A broad range of ethical standards obviously already exist, from adhering to confidentiality and obeying legal frameworks to – on a more abstract level – putting people and accountability before profit. Additional ones will be needed in the digital world as roles change with the advent of emerging technologies.

Machine Learning as an Enabling Technology

With the help of machine learning, we can optimize processes and assist employees in their everyday life. This automation will free humans from tedious, repetitive tasks and allow them to focus on higher-value work using their creativity and ability to solve complex problems.

Only automation can help tackle the challenges of the sheer volume of data and transactions. Humans – in contrast – can and should supervise enterprise systems, handle the exceptions, and explore new opportunities.

Consequently, new technologies require us to develop a new understanding of the human’s role and work in a highly automated and connected world, and, therefore, new or adapted ethical standards as well. This means, in turn, that ethical discussions and aspects need to be an integral part of AI-related innovation projects.

Answering the question of which specific decisions can be made by machines is absolutely crucial, as is defining the right use cases and areas for AI in an enterprise environment. In a second step, we need to be aware of the fact that huge amounts of data can also be biased. As a result, people will continue to be at the center of critical analyses and decisions. The technology augments and enables, but the responsibility remains firmly in our hands.

Societal and ethical concerns related to AI need to be addressed openly from industry, policy and academia – with the goal to agree on common standards that are aligned with existing frameworks and therefore ensure new technologies will be accepted broadly.

Overall Purpose: The “Why”

In addition to these two aspects, a company’s sustainable success is also tied to a bigger purpose that functions as a guiding star in today’s complex and hyper-connected world. This means we need to find ways to effectively manage increasing complexity, rethink today’s business, and consequently move organizations forward, while at the same time still considering the impact on society. I firmly believe that in today’s world, the former cannot succeed without the latter. We need to look beyond the current innovation curve, the pure technology shift, and the concrete product innovations we bring to the market. We need to create meaning out of it.

From Trustful Relationships to Ethical Standards to Purpose-Driven Innovation

As AI enables the focus to shift from completing repetitive tasks towards enabling creativity, organizations and employees alike agree that job satisfaction is one example of how a company’s success depends on more than just strong top and bottom line figures. Another one is the deep impact businesses have on society.

Thought leaders from academia, industry, and politics discuss how organizations can identify meaningful goals and many institutions, including SAP, have announced their commitment to the 17 United Nations Sustainable Development Goals (SDGs), spearheading an advanced organizational culture and mindset. These goals are a strong foundation that can help unite industries in pursuit of a better world.

However, truly purpose-driven companies must also consider an additional third pillar – the economy. When a company has a clearly stated reason for being, it can ensure every job it provides directly supports that reason. And when a company knows its true purpose, it can turn to frameworks such as the SDGs to help ensure it conducts business responsibly and in ways that support the greater good.

Companies understand that trust-based relationships with their stakeholders and society as a whole are vital. Acting in a purpose-driven manner, companies’ behavior inevitably also has an effect on entire ecosystems: Employees, customers, suppliers, business, and technology partners.

Relationships within these ecosystems will evolve into partnerships based on more equal terms and similar values built on a foundation of trust and ethics. They turn towards a purpose that puts their common basis on a higher level. The whole ecosystem must operate within a shared value system to foster trust and a responsible approach to business.

Business should see the goals of a strong purpose and profitability not as contradictory, but rather complimentary aims that together have a greater impact.

From Theory to Reality

In the world of software engineering, one interesting example of purpose-driven thinking is that of sustainable programming. Sustainable programming is all about designing and developing software with the most efficient use of computing resources. When we consider the phenomenal number of business transactions taking place every day in enterprise systems around the world, this optimized use approach would obviously scale up to have a huge impact. Put simply, efficient software uses fewer resources and energy in every respect and throughout the entire value chain.

Purpose-driven co-innovation projects between partners from different industries also aim to have an important impact on the world as we know it.

One such example is the innovation project Cargo Sous Terrain, in which the partners are working on developing a completely new transport system for goods in Switzerland by building a new underground route exclusively reserved for goods transportation. The goal is to connect cities and logistic hubs by 2030. Developed by companies for companies, it’s not just business that will benefit, but society as a whole: less traffic on the roads, faster and more efficient logistics cycles, and the consequent resource and energy savings.

With this purpose-driven innovation approach, technology is just the enabler, the ecosystem is the driver, and it is not only the companies but also society that benefits. In short: This positive outcome on all sides makes the effort and investment worth it for everyone.

Innovating and coping with change today requires a high level of flexibility, agility, and creativity – which also means new ways of doing business need to be tested. We will see new forms of engagement that build trust, new required norms for business ethics, and a purpose-driven mindset that ensures everyone benefits. There are still many challenging questions to be answered, but the solid foundation of a purpose puts us in a strong position to find convincing and effective solutions.

This story originally appeared on Business Trends on the SAP Community. http://bit.ly/2mUNB23 #SAP #SAPCloud #AI

技术支持专家聊天通道启动- SAP Business ByDesign & SAP Cloud for Customer

技术支持专家聊天通道启动- SAP Business ByDesign & SAP Cloud for Customer

为了提供更高效的针对产品功能方面的客户服务体验,SAP的两款云产品,SAP Business ByDesign以及 SAP Cloud for Customer正式启动专家在线沟通频道。用户可在该平台上与技术支持专家进行时时沟通。当您需要及时帮助的时候,这个平台无疑是您的首选。

关于具体如何使用该平台的相关问题及解答,您可以参考知识库文档2577546。

需要注意的是,该功能只能在HTML5页面上使用。

使用该功能的具体步骤如下:

步骤一、关键用户登录系统。

步骤二、打开帮助中心(和您报告故障的步骤相同)。

步骤三、在帮助中心里选择SAP 支持专家聊天。

步骤四、选择SAP 支持专家聊天之后,会有新窗口打开。

步骤五、输入以下具体信息:

* 描述 – 简单陈述您想要讨论的问题。
* 应用范围 – 对应的业务范围。
* 名字、姓氏 – 您的姓名。
* 电子邮件 – 关键用户,也就是您的有效电子邮件地址。
* 验证码 – 您在屏幕上看见的字母和数字串

步骤六、输入完毕所有信息之后,就可以选择开始聊天了。

步骤七、选择开始聊天,聊天会话会打开一个新的窗口。您可以开始和技术支持工程师对话了。

共享桌面

如果需要,您也可以共享您的桌面。默认情况下,工程师只能看您共享的桌面而无权操作。当然您也可以更改这个默认设置。共享桌面的具体步骤如下:

* SAP技术支持工程师会发送给您一个链接,您需要下载一个插件(估计用时2分钟)。之后才能共享桌面。
* 选择Run,下载GoToAssist Corporate:
* SAP技术支持工程师会发送要求给您共享桌面的邀请。
* 选择OK,您就可以开始共享桌面了。
* 您可以使用以下按钮来控制桌面共享。

* 暂停桌面共享。
* 停止桌面共享。
*   折叠桌面

* 如果想要终止桌面分享,选择File菜单里的Exit即可。

在和SAP技术专家对话结束后,您可以关闭对话框。您也可以在关闭对话框之前,保存对话。

请您务必完成以下问卷调查。

通过技术支持专家聊天平台,您可以和处理您故障的技术人员时时沟通。除此之外,该平台提供更快更有效的解决模式,并且没有任何其他费用。您可以将该平台作为除了故障之外和SAP技术专家沟通的渠道。

了解更多

关于具体如何使用该平台的相关问题及解答,您可以参考知识库文档2577546。

观看视屏来了解SAP 其他产品的技术支持专家聊天服务。

备注

技术支持专家聊天通道的页面的支持语种

页面显示的语言和用户的浏览器的语言设置有关。

目前支持的语种有

* 英语
* 德语
* 中文
* 日语

我们这里具体叙述下如何将聊天通道的页面设置为显示中文。

如果您使用的浏览器是IE,那么由于IE显示的语言是根据操作系统的语言设置的,您需要将您的系统显示的语言设置为中文

如果您使用的浏览器是Chrome,您可以在浏览器设置里,选择Display Google Chrome in this language,然后将中文排至第一,Chrome就会优先显示中文界面。

其他浏览器的设置就不在这里一一叙述了。

 

  http://bit.ly/2mRzUAV #SAP #SAPCloud #AI

– 過去のブログ記事より:SAP Fiori Launchpad – LPD_CUST を使用しないターゲットマッピング設定の単純化 –

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このページは、2016年6月に Carola Steinmaier によって書かれた英語のブログの抄訳です。

2016年6月に Carola Steinmaier によって書かれた英語のブログ
SAP Fiori Launchpad – Simplification of Target Mapping Configuration without LPD_CUST

最新の情報については、英語ページを参照してください。
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ターゲットマッピング は SAP Fiori Launchpad の設定の一部です。
これはタイルをクリックした際の、リンクまたはアプリケーションからアプリケーションへのナビゲーションによって呼び出されるターゲットアプリケーションのデバイスタイプやインテント(Intent)[セマンティックオブジェクト(Semantic Object)/アクション(action)] を定義するものです。
SAP UI Add-On 2.0 for SAP Netweaver ナビゲーションターゲットでは、トランザクションコード LPD_CUST を使用せずに、SAPUI5 Fiori アプリケーション、トランザクション、 Web Dynpro アプリケーションおよび URL を SAP Fiori Launchpad Designer で完全に定義出来ます。

これはターゲットマッピング構成の重要な単純化で、パフォーマンスにプラスの影響を与えます。

タイルとターゲットマッピング

Fiori タイルカタログには2つのコンポーネントが含まれています。

* タイトル、サブタイトル、情報、アイコン、セマンティックオブジェクトなどのタイルのビジュアル部分を表すタイル、インテントベースのナビゲーションのアクション
* インテントがトリガされたときに起動されるターゲットアプリケーションを定義するターゲットマッピング

ターゲットマッピングの構成

SAP NetWeaver 7.50 より前では、SAP Fiori以外のアプリケーションをトランザクション、Web DynproアプリケーションまたはURLとして起動する場合のターゲットマッピングの設定には、
SAP Fiori Launchpad Designer に加えてトランザクション LPD_CUSTを使用する必要がありました。

SAP UI Add-On 2.0 SP01以降、トランザクション LPD_CUSTを使用せずに、SAP Fiori Launchpad Designer の中だけでターゲットマッピングの設定を行う事が出来ます。
Configuration of Target Mapping も参照してください。

以下では、さまざまなアプリケーションタイプのターゲットマッピングの設定方法をいくつか例を挙げて説明します。

SAP GUI トランザクションのターゲットマッピング

事例 :

それぞれのインテントがデスクトップデバイスでトリガされ、システムS4FIN でトランザクション FTRBP03 が実行されるとします。
トランザクションは、例えば以下のようなパラメータで起動することが出来ます。
– ビジネスパートナー

ターゲットマッピングの設定は以下の様になります。

URLパラメータの名前をターゲットアプリケーションで使用されるパラメータ名に変更するには、パラメータテーブル内の ターゲット名 Target Nameカラムを使用できます。

Web Dynpro アプリケーションのターゲットマッピング

事例 :

それぞれのインテントがデスクトップデバイスでトリガされ、システムS4EAM で Web Dynproアプリケーション WCM_WDA_WPが、
デフォルト値が定義されているいくつかのオプションのパラメータで起動されるとします。

ターゲットマッピングの設定は以下の様になります。

URL のターゲットマッピング

事例 :

それぞれのインテントがトリガーされると、SuccessFactorsアプリケーションが My Goal を表示するために、 company I0300 で開始されるとします。

ターゲットマッピングの設定は以下の様になります。

Recommendation

一般に、LPD_CUSTを使用せずにSAP Fiori Launchpad Designer 内でターゲットマッピング設定を使用することをお勧めします。
1つのツールのみを使用する事から、構成が簡単になるだけでなく実行時のパフォーマンス向上が見込まれます。

詳しい情報

SCN Blog: Control visibility of tiles via separation of tiles and target mapping (英語) http://bit.ly/2DRKCPJ #SAP #SAPCloud #AI